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It is software that holds a real conversation with a borrower, decides what to do next, and completes the task without a human pressing send. For a mortgage brokerage that means the difference between a lead sitting in a queue overnight and a lead that is qualified and booked before the next morning huddle.","This page covers what AI agents actually do inside a brokerage today, the five agent types worth deploying, how broker workflows differ from a single loan officer's, the compliance guardrails you need in place first, and what the setup timeline and monthly cost really look like."],sections:[{heading:"What an AI agent actually does in a brokerage",paragraphs:["The useful definition is narrow. An AI agent receives a trigger â a new lead, a stalled file, a rate move, an inbound call â reads the context it has about that borrower, chooses an action, and executes it. It sends the text, asks the qualifying question, books the calendar slot, or requests the missing pay stub.","That is different from the AI most brokerages have already bought. A copy assistant drafts an email you still have to review. A summarizer condenses a call you still have to act on. Both are useful. Neither changes your response time at 9pm on a Sunday, which is when a large share of purchase leads actually submit a form.","Inside a brokerage the agent sits between the lead source and the loan officer. It takes the first shift on every inquiry, works the borrower until there is something worth a human's time, and hands the conversation over with a written summary. Loan officers stop spending their day on first-touch attempts and start their day with booked appointments.","The measurable effects are concentrated in a few places: time from lead submission to first contact, contact rate on aged and internet leads, appointment show rate, and the share of your past-client database that gets touched in a given quarter. Those four numbers are where an agent earns its keep, and they are the numbers to instrument before you deploy anything.","It is worth being blunt about the ceiling. An AI agent does not structure a complicated self-employed file, negotiate an exception with an account executive, or repair a relationship with an agent partner after a blown closing. It buys back the hours you currently spend on repetitive contact attempts so you can do the work that actually needs a licensed human."]},{heading:"The five agent types: intake, follow-up, pre-qualification, doc chase, database reactivation",paragraphs:["Most brokerages get the best return by deploying agents one at a time, in this order. Each one has a distinct trigger, a distinct definition of done, and a distinct handoff rule."],subsections:[{heading:"1. Intake agent",paragraphs:["The intake agent answers the phone and the form. It captures name, contact details, loan purpose, property type, rough timeline, and whether the borrower is already working with an agent or another lender. Then it routes: purchase-ready leads to the on-call loan officer, long-timeline leads to nurture, and refinance inquiries to whoever handles that pipeline.","The bar for a good intake agent is that nothing arrives unrouted and nothing waits. Measure it on percentage of inbound inquiries contacted inside sixty seconds, then on how often the routing was right."]},{heading:"2. Follow-up agent",paragraphs:["The follow-up agent runs the six to twelve attempt cadence that almost nobody executes manually. It varies channel between text and email, respects quiet hours, changes the message each time instead of resending the same script, and stops the moment the borrower replies or opts out.","This is the single highe
1st-value agent for brokerages buying internet leads, because the economics of purchased leads are decided almost entirely by attempt count and speed rather than by the pitch."]},{heading:"3. Pre-qualification agent",paragraphs:["The pre-qualification agent asks the structured questions a loan officer would ask on a first call: estimated credit band, income type, down payment source and amount, target purchase price, and whether there is a property under contract. It never quotes a rate as an approval and it never states a term as a commitment.","The output is a written summary attached to the contact record, so the loan officer opens the file already knowing whether this is a conforming purchase, a DSCR investor, or a self-employed borrower who needs a bank statement program."]},{heading:"4. Doc chase agent",paragraphs:["After application, the agent tracks which conditions are outstanding and asks the borrower for them on a schedule â with the specific document named, an upload link, and an explanation of why underwriting needs it. It escalates to the loan officer when a request has been ignored twice or when the borrower says something that suggests a structural problem with the file.","Brokerages usually see the doc chase agent as an operations tool rather than a sales tool, but it shortens cycle time, which is what your account executives and your agent partners actually judge you on."]},{heading:"5. Database reactivation agent",paragraphs:["The reactivation agent works the asset you already paid for. It scans past clients and dead leads for a reason to reach out â an equity position that now supports a HELOC, a rate that is now above market, mortgage insurance that can come off, a term that is worth shortening â and starts the conversation with that specific reason instead of a generic check-in.","For a brokerage with several thousand contacts sitting in an old system, this is usually the agent that pays for the whole deployment in the first quarter, because the contact already knows and trusts the brand."]}]},{heading:"Broker workflows vs individual loan officer workflows",paragraphs:["A solo loan officer deploying an AI agent is configuring one voice, one calendar, and one pipeline. A brokerage is configuring routing, ownership, oversight, and reporting across a team that changes composition every few months. The technology is the same; the setup work is not.","Routing is the first divergence. A brokerage needs rules for which loan officer owns a lead â round robin, licensed state, product specialty, or source-based assignment â and a rule for what happens when the assigned person does not respond. Without a reassignment rule, AI-generated speed just moves the bottleneck one step later.","Voice is the second. A brokerage that lets every loan officer write their own agent prompts ends up with twenty different brand voices and no way to audit any of them. The workable pattern is a brokerage-level base script and tone, with a small number of per-officer variables: name, licensing detail, calendar link, and product focus.","Oversight is the third. At the brokerage level someone must be able to read every AI conversation, see which agent sent what and when, and shut a sequence off across the whole team in one action. Ask any vendor to show you the team-level conversation log and the global kill switch before you talk about features."],bullets:["Lead ownership and reassignment rules, including what happens after hours and on weekends","Licensed-state checks so an agent never books an appointment your officer cannot legally take","A brokerage-level script library with per-officer variables instead of freehand prompts","Team-wide conversation logging that a manager or compliance reviewer can read end to end","A single control that pauses all outbound AI messaging immediately, for every user","Reporting by source and by officer, so you can tell whether the agent or the lead list is the problem"]},{heading:"Compliance and TCPA guardrails",paragraphs:["AI does not change your obligations. It changes your volume, which is why brokerages that deploy agents without guardrails create exposure faster than they create pipeline. Treat the guardrails as part of the deployment, not as a later cleanup project.","Consent comes first. Every lead form and landing page needs clear opt-in language for calls and texts, stored with a timestamp, the source URL, and the exact language shown. If you cannot produce that record for a specific contact on request, you should not be sending automated messages to that contact.","Opt-out handling has to be immediate and permanent at the phone-number and email level, across every agent and every sequence â not just the one the borrower replied to. Quiet hours need to follow the borrower's time zone, not your office's. Suppression lists must be honored on import as well as on send.","Then there is what the agent is allowed to say. An AI agent should never state an approval, never quote a rate as locked or guaranteed, and never characterize a program eligibility as final. Every conversation should carry your brokerage identification and NMLS ID, and anything that looks like a decision on the file should escalate to a licensed human.","Finally, keep the audit trail. Full transcripts, the consent record, the suppression events, and a change history of the scripts. Retention length is a decision to make with your compliance counsel, but the ability to reconstruct any conversation is non-negotiable if a complaint arrives."]},{heading:"Setup timeline and what it costs",paragraphs:["A realistic brokerage deployment is measured in weeks, not quarters â but only if you sequence it. Trying to switch on five agents across twenty loan officers in the same week is how deployments get abandoned.","Week one is data and consent: import the database, dedupe it, map custom fields, load suppression lists, and update lead form consent language. Week two is the intake and follow-up agents for one or tw
1o volunteer officers, with a manager reading every conversation daily. Week three is script correction based on what you read, then pre-qualification. Week four is the rollout to the rest of the team, followed by doc chase and database reactivation once the first two agents are stable.","On cost, the honest way to budget is per-seat platform subscription plus usage. Platform pricing in the mortgage CRM category generally runs from under two hundred dollars per user per month at the low end to enterprise contracts quoted per seat; on top of that, expect telephony and messaging usage, and a one-time onboarding or migration fee at most vendors. See our current plans and the one-time onboarding fee on the pricing page rather than trusting a number quoted on a comparison site.","The two costs brokerages forget are internal. Someone has to own the agents â reading conversations, fixing scripts, adjusting routing â for at least the first month, and someone has to own the data hygiene that the agents depend on. Budget those hours explicitly; they are the difference between an agent that books appointments and an agent that annoys your database.","Set the evaluation window before you start. Ninety days is enough to judge speed to first contact, contact rate, appointment volume, and reactivated conversations from the existing database. If those four numbers have not moved by day ninety, the problem is the configuration or the lead source, and no amount of additional AI will fix it."]}],faqHeading:"AI agents for mortgage brokers: FAQ",faq:[{q:"What is the difference between an AI agent and a chatbot?",a:"A chatbot answers questions inside a scripted tree and stops when the script runs out. An AI agent holds an open conversation, decides the next action based on the borrower's answers, and completes a task â booking the appointment, requesting the document, routing the lead â without a human pressing send."},{q:"Will borrowers know they are talking to AI?",a:"Some will and some will not, and that is not the important question. What matters is that the agent identifies your brokerage, never claims to have approved anything, and hands off to a licensed loan officer the moment the conversation involves a decision on the file."},{q:"Is AI outreach TCPA compliant?",a:"It can be, and the burden is on you rather than on the software. You need documented opt-in for calls and texts, immediate and permanent opt-out handling across every sequence, quiet hours in the borrower's time zone, suppression list enforcement, and a retrievable transcript for every conversation."},{q:"How long does it take to deploy AI agents across a brokerage?",a:"Plan on about four weeks: one week for data import and consent cleanup, one week piloting intake and follow-up with a couple of officers, one week correcting scripts and adding pre-qualification, then a team-wide rollout followed by doc chase and database reactivation."},{q:"What does an AI agent cost per month for a brokerage?",a:"Budget a per-seat platform subscription plus messaging and telephony usage, and expect a one-time onboarding fee at most vendors. Add internal time for someone to own script quality and data hygiene during the first month â that is the cost most brokerages leave out of the model."}],related:[{label:"How the AI assistant handles inbound leads",to:"/features/ai-follow-up"},{label:"Best CRM for loan officers",to:"/best/loan-officer-crm"},{label:"Plans and the $1 14-day trial",to:"/pricing"},{label:"Wholesale lender directory for brokers",to:"/mortgage-central/wholesale-lenders"},{label:"Book a live demo",to:"/demo"}],cta:{heading:"See the agents run on your own leads",body:"Book a demo and we will run a live inbound lead through intake, follow-up, and pre-qualification end to end â no slides.",href:"/demo",label:"Book a demo"}},A=W,h={path:"/best/loan-officer-crm",eyebrow:"2026 Buyer's Guide",h1:"Best CRM for Loan Officers in 2026",intro:["Every CRM in this category will tell you it was built for loan officers. The differences that actually change your production are narrower than the feature lists suggest: what it costs at your seat count, whether the automation runs without you, whether the dialer is native or a bolt-on, which loan origination systems it truly syncs with, and how long you are locked in.","We compared eight platforms on exactly those five axes. Below is the methodology, a comparison table, an honest read on each tool, recommendations by team size, and a switching checklist you can run in order."],sections:[{heading:"How we compared these CRMs",paragraphs:["We scored each platform on five things a working loan officer can verify in a demo: real price at one seat and at ten, whether the AI acts or only drafts, whether the dialer is included, which LOS integrations are native and bi-directional, and the shortest contract the vendor will actually sign.","Pricing is listed as publicly advertised or as consistently quoted to brokers. Where a vendor only quotes custom enterprise pricing we say so rather than
1inventing a number. Setup and onboarding fees are called out separately, because they are the most common surprise in this category.","For AI we drew a hard line between assistive and autonomous. Assistive AI drafts a message and waits for a human to send it. Autonomous AI replies to a new lead on its own, holds a multi-turn conversation, and books the appointment. Both get credit, but they are not the same product and should not be compared as if they were.","For integrations we counted only native, bi-directional connections the vendor documents â not Zapier reachability, and not a logo on an integrations page. A one-way nightly export is not a sync, and treating it as one is how loan officers end up re-typing milestones into two systems.","One disclosure: LoanOfficer.ai is our product, and it appears in this list. We have tried to write the entries the way a broker would, including the reasons not to pick us. For third-party opinion, read our reviews page rather than taking our word for it."]},{heading:"Comparison table: price, AI, dialer, LOS integrations, contract",paragraphs:["Figures below reflect publicly advertised or commonly quoted pricing at the time of writing. Always confirm current pricing, setup fees, and contract terms directly with the vendor before you sign anything."],table:{columns:["CRM","Price","AI capability","Dialer","LOS integrations","Contract"],rows:[["LoanOfficer.ai","$1 for 14 days, then plans from $197/mo for 2 seats + one-time onboarding fee","Autonomous â replies, qualifies, books","Native","Arive, LendingPad, Byte, plus Zapier","Month to month"],["BNTouch","~$165/mo per user + setup fee","Assistive â templates and suggestions","Add-on","Several, depth varies by plan","Annual commitment common"],["Bonzo","Quoted per seat, mid-hundreds monthly","Assistive â conversation prompts","Add-on","Limited native, Zapier heavy","Annual typical"],["Empower LO","$197/mo Launch, $297/mo Scale, $497/mo Teams + $300 setup","Assistive â pre-built mortgage campaigns","Add-on","Varies by plan (HighLevel ecosystem)","Month to month"],["MortgageCoach","Per-seat, often bundled with lender tools","None â presentation engine, not AI","No","Works alongside LOS, not a CRM sync","Annual typical"],["Surefire (ICE)","Custom enterprise pricing","Assistive content generation","No","Encompass-native, deep","Multi-year enterprise"],["Jungo","Per-seat plus Salesforce license","Via Salesforce add-ons, extra cost","Add-on","Encompass and Salesforce ecosystem","Annual, Salesforce terms"],["Aidium","Quoted per seat","Assistive with automation depth","Add-on","Several native LOS connections","Annual typical"]]}},{heading:"The 8 CRMs reviewed",paragraphs:["Each entry below is written for a specific reader. Skip to the one that matches your situation â the wrong CRM for a solo purchase-focused officer can be the right CRM for a hundred-seat retail shop."],subsections:[{heading:"LoanOfficer.ai",paragraphs:["Best for loan officers and brokerages that want the follow-up to happen without them. The AI answers new leads in under a minute by text, holds the qualification conversation, handles objections, checks a live calendar, and books the appointment â then writes a summary onto the contact record.","The second differentiator is database intelligence. Property Pulse monitors your past clients for equity, refinance, HELOC, and mortgage-insurance-removal opportunities and surfaces the ones worth a call, which is what turns a stale database into a pipeline. CRM, dialer, scheduling, and campaigns are in one subscription, with branded websites and Property Pulse available as integrated add-ons rather than disconnected vendors.","Reasons to pass: it is a newer brand than the enterprise incumbents, it is mortgage-only so it will not serve a mixed sales team, and if your entire operation is built around Encompass-native marketing workflows the incumbent tools have a longer history there. Pricing starts at $1 for a 14-day trial and month-to-month core plans from $197 per month for 2 seats, plus a one-time onboarding fee. Branded websites and Property Pulse are optional add-ons."]},{heading:"BNTouch",paragraphs:["Best for loan officers who like running their own marketing and want the deepest library of pre-built mortgage drip campaigns. BNTouch has been in the category a long time, the mortgage pipeline stages are sensible out of the box, and the mobile app is mature.","The tradeoff is that the work is still yours. AI features are assistive â they help you write and organize, they do not answer a lead at midnight. There is no live property or equity intelligence, so database mining is a manual segmentation exercise. Budget for the setup fee on top of the per-user monthly price."]},{heading:"Bonzo",paragraphs:["Best for teams whose main problem is conversation volume rather than data structure. Bonzo is built around outbound texting and simple campaign cadences, and loan officers who adopt it tend to like how quickly they can get a sequence running.","It is lighter on the CRM side than the mortgage-native systems: fewer deep LOS integrations, more reliance on Zapier, and reporting that thins out as a team grows. The AI is assistive rather than autonomous. If you want a texting engine, it is a good one; if you want a system of record, look harder."]},{heading:"Empower LO",paragraphs:["Best for individual loan officers and small teams who want a pre-built mortgage setup on top of HighLevel with transparent published pricing. Launch is $197/mo, Scale $297/mo, and Teams starts at $497/mo, each with a one-time $300 setup fee and a small monthly usage credit for texts and emails.","The tradeoff is depth. Automation is campaign-based rather than autonomous, so a lead still waits for the next scheduled step instead of getting an answer; there is no live property or equity intelligence to mine your past database; and LOS connectivity varies by plan through the HighLevel ecosystem rather than shipping as native bi-directional sync. See our full head-to-head for the detail."]},{heading:"MortgageCoach",paragraphs:["Best for loan officers who win on borrower education. MortgageCoach is a presentation and total-cost-analysis tool, and at that job it is excellent â side-by-side loan option comparisons that borrowers and agents genuinely engage with.","It is not a CRM and does not pretend to be one. There is no pipeline of record, no dialer, and n
1o autonomous follow-up. Most producers who use it run it alongside a CRM, which is a reasonable stack â just do not buy it expecting your follow-up problem to be solved. See our head-to-head breakdown for the detail."]},{heading:"Surefire (ICE Mortgage Technology)",paragraphs:["Best for national retail lenders already standardized on Encompass. The content library is the deepest in the category, compliance controls are mature, and the Encompass integration is native in a way nothing else here matches.","It is enterprise software with enterprise consequences: custom pricing, months-long implementation, and a design that assumes a marketing operations team exists to run it. A solo loan officer will be paying for governance features they will never open."]},{heading:"Jungo",paragraphs:["Best for shops that already live in Salesforce and have admin resources. Jungo is a mortgage layer on the Salesforce platform, which means near-unlimited customization and real reporting depth if you have someone to build it.","The cost structure is the catch. You pay Jungo and you pay Salesforce, and the total cost of ownership usually includes an admin. Without that admin, customization potential turns into an unfinished implementation."]},{heading:"Aidium",paragraphs:["Best for growing mortgage teams that want strong workflow automation with mortgage-native structure. Aidium has invested in automation depth and has several real LOS connections, and it competes seriously in the mid-market.","Its AI is assistive rather than autonomous, so speed-to-lead still depends on a human being awake, and pricing is quoted rather than published. Worth a demo if your bottleneck is process rather than response time."]}]},{heading:"Best for a solo loan officer vs a team vs an enterprise",paragraphs:["The right answer changes with headcount, because the binding constraint changes with headcount.","A solo loan officer's constraint is hours. You are the marketing department, the follow-up department, and the closer, so the only feature that matters is how much work the system does while you are in an appointment. That argues for autonomous follow-up, a native dialer so you are not paying for a second phone tool, and month-to-month terms so a slow quarter does not trap you in a contract. Skip anything that requires an administrator.","A team of three to fifteen has a routing and accountability constraint. Leads need an owner, unworked leads need to be reassigned automatically, and a manager needs to be able to read what was said to a borrower without asking the officer. Prioritize team-level conversation logs, per-officer reporting by lead source, and a shared script library over per-user feature counts.","An enterprise shop's constraint is governance. Permission scoping by branch, content approval workflows, audit logs, SOC 2 documentation, and a real LOS integration with your system of record outweigh almost everything else â which is why Surefire and Jungo still win those procurements despite slower implementations. Ask for the security packet and the standard statement of work before the demo, not after.","One pattern holds at every size: buy for the bottleneck you can measure. If your speed to first contact is four hours, an AI-first platform will move your numbers more than better reporting will. If your data is a mess across three systems, integration depth matters more than conversation quality."],bullets:["Solo LO: autonomous follow-up, native dialer, month-to-month, no admin required","Small team: lead routing with reassignment, manager-readable conversation logs, source reporting","Growing team: shared script library, per-officer dashboards, native LOS sync instead of exports","Enterprise: branch-level permissions, approval workflows, audit trail, security documentation","Everyone: written confirmation of setup fees, contract length, and data export terms"]},{heading:"Switching checklist: what to migrate and in what order",paragraphs:["Most bad CRM migrations fail on sequence, not on software. Run these steps in order and the production gap stays inside a couple of weeks.","Do the export before you cancel anything. Contacts, loan records, notes, tags, consent records, and campaign history should be in your possession as structured files while the old system is still live â several vendors make export slow or chargeable once you have given notice.","Then clean before you import. Dedupe, standardize phone formats, drop contacts with no usable contact detail, and carry your opt-out and do-not-contact lists across first so a migration never reactivates someone who asked you to stop. Import order should be past clients, then active pipeline, then leads, then partners.","Rebuild automations from scratch rather than porting them. Old sequences accumulate exceptions nobody remembers, and a new platform with autonomous follow-up should not be running a cadence designed for manual sending. Start with speed-to-lead, then the purchase nurture, then post-close and reactivation.","Run both systems in parallel for two to four weeks with new leads going only to the new platform, and keep read access to the old one until you have closed a loan end to end in the new one. Then cancel â after you have confirmed your final export is complete."],bullets:["Export contacts, notes, tags, consent records and campaign history before giving notice","Migrate suppression and do-not-contact lists first, ahead of any marketing data","Import in order: past clients, active pipeline, open leads, referral partners","Rebuild speed-to-lead first, then nurture, then post-close and database reactivation","Route new leads to the new system while keeping read-only access to the old one","Close one loan end to end before cancelling, and re-verify your final data export"]}],faqHeading:"Loan officer CRM FAQ",faq:[{q:"What is the best CRM for a loan officer in 2026?",a:"For a producing loan officer whose bottleneck is follow-up time, an AI-first mortgage CRM with autonomous lead response and a native dialer will move production fastest. For an enterprise shop standardized on Encompass with a marketing operations team, an incumbent like Surefire or a Salesforce-based system like Jungo is often the better procurement decision."},{q:"How much should a loan officer CRM cost?",a:"Mortgage CRM pricing generally runs from just under two hundred dollars per user per month at the low end to custom enterprise contracts quoted per seat. C
1ompare on total cost: subscription, setup or onboarding fee, any separate dialer or marketing license, and the admin time the platform requires."},{q:"Do I need a mortgage-specific CRM instead of HubSpot or Salesforce?",a:"In most cases yes. A mortgage CRM understands loan stages, syncs with your LOS, ships TCPA-conscious messaging controls, and can monitor a database for refinance and equity opportunities. Generic platforms need heavy customization and third-party tools to approximate that, and the customization drifts out of sync with the LOS."},{q:"What does autonomous AI mean in a CRM, and how do I verify it?",a:"Autonomous means the software contacts and qualifies a lead without a human pressing send. Verify it in the demo: submit a live lead on the vendor's own site, watch the reply arrive within a minute, push the conversation through an objection, and confirm an appointment lands on a calendar with no human intervention."},{q:"How long does it take to switch mortgage CRMs?",a:"Budget two to four weeks. Roughly a week for export and data cleanup, a week to rebuild speed-to-lead and core sequences, then a parallel period where new leads go to the new platform while you keep read access to the old one until a loan closes end to end."},{q:"Which loan officer CRMs include a dialer?",a:"LoanOfficer.ai includes a native dialer in the subscription. BNTouch, Bonzo, Aidium and Jungo typically rely on an add-on or a third-party telephony integration, and Surefire and MortgageCoach do not provide one â so factor a separate phone tool into their real monthly cost."}],related:[{label:"Plans, pricing, and the $1 14-day trial",to:"/pricing"},{label:"What loan officers say about LoanOfficer.ai",to:"/reviews"},{label:"LoanOfficer.ai vs MortgageCoach",to:"/compare/loanofficer-ai-vs-mortgagecoach"},{label:"Mortgage CRM with AI: which ones deliver",to:"/best/loan-officer-crm"},{label:"An honest mortgage CRM comparison",to:"/blog/mortgage-crm-honest-comparison"},{label:"Mortgage Career Center: licensing, roles, and brokerages",to:"/mortgage-career-center"},{label:"Wholesale lender directory for brokers",to:"/mortgage-central/wholesale-lenders"}],cta:{heading:"Test it against your own database",body:"Fourteen days of full access for $1 â import your contacts and watch the AI work your real leads before you commit.",href:"/trial",label:"Start for $1"}},f={path:"/best/ai-mortgage-crm",eyebrow:"Category Deep Dive",h1:"Mortgage CRM With AI",intro:["Every mortgage CRM sold in 2026 has AI on the pricing page. Very few of them do anything a loan officer would notice on a Tuesday afternoon. The gap between those two facts is what this page is about.","Below: what the word actually means in this category, a feature-by-feature read on the three capabilities that matter, which platforms have them today, the return math on a thirty-lead-per-month pipeline, and how a migration off BNTouch or Bonzo actually goes."],sections:[{heading:'What "AI" means in a mortgage CRM â and what is just marketing',paragraphs:["There are three things vendors call AI, and only one of them changes your numbers. The first is generated copy: the system writes an email or a social post and you review it. Useful, but it is a writing tool, and your follow-up problem is not a writing problem.","The second is scoring and suggestion: the system ranks your leads or tells you who to call next. Also useful, and also dependent on you being logged in and available at the moment the suggestion appears. If you are in a closing, the suggestion expires quietly.","The third is autonomous action. The system receives a lead, sends the first message inside a minute, answers the borrower's questions, handles an objection, offers times from your live calendar, and books the appointment â with no human in the loop. That is the only version that works at 11pm, and it is the only version that moves speed-to-lead and contact rate.","The tell in a demo is who presses send. If every AI feature ends with a draft awaiting approval, you are buying a writing assistant with a language model behind it. Ask the vendor to run one lead from web form to booked appointment without touching the keyboard. Most cannot.",'Two more marketing patterns worth naming. "AI-powered" applied to rule-based drip logic that predates language models entirely â a birthday trigger is automation, not intelligence. And AI that exists on a roadmap rather than
1in the product, described in future tense during a sales call. Ask what ships today and get it in writing.']},{heading:"Feature by feature: conversations, speed-to-lead, database reactivation",paragraphs:["Three capabilities separate a mortgage CRM with real AI from one with the label. Evaluate each independently, because a platform can be strong on one and absent on the others."],subsections:[{heading:"AI conversations",paragraphs:["A real AI conversation runs multiple turns. The borrower asks what rate they qualify for, the AI explains it cannot quote an approval and asks the questions needed to get them to a licensed officer, the borrower pushes back about timing, and the AI keeps the thread alive rather than repeating itself.","Test it by asking a vendor to show a full ten-message thread with a real borrower, not a first-touch screenshot. Then check what the AI is prohibited from saying: no stated approvals, no rate quoted as locked, no eligibility characterized as final, and an escalation rule that hands complex questions to a human."]},{heading:"Speed-to-lead",paragraphs:["This is the least glamorous and most valuable AI application in the category. Under sixty seconds from form submission to first outbound message is the standard worth holding vendors to, and contact rates fall sharply once an inquiry has been sitting for more than a few minutes.","The reason AI beats a good assistant here is coverage rather than intelligence. Nights, weekends, and the two hours you spend at a closing table are exactly when internet leads arrive. Measure a vendor on median time to first contact across a week including weekends, not on a best-case number from a demo."]},{heading:"Database reactivation",paragraphs:["The highest-margin pipeline most loan officers have is the database they already own, and it usually goes untouched because generic outreach feels pointless. AI changes the economics by giving every message a specific reason to exist: this borrower's equity now supports a HELOC, this rate is above current market, this file can drop mortgage insurance.","That requires property and equity data alongside the CRM record. A platform without live property intelligence can send a campaign but cannot tell you who deserves one, which is why reactivation is the capability where the field thins out fastest."]}]},{heading:"Which mortgage CRMs actually have AI today",paragraphs:["Sorted by what is in the product now rather than what is announced.","LoanOfficer.ai is built around autonomous AI: sub-minute lead response by text, multi-turn qualification, calendar booking without a human, campaign generation in your voice, and Property Pulse scanning your database for equity, refinance, HELOC and mortgage-insurance opportunities. It is also our product, so verify it the same way you would verify anyone else's.","Aidium and BNTouch offer assistive AI layered on mature marketing automation â generated copy, suggested actions, and solid sequence logic that still depends on a human sending or approving. Bonzo sits in a similar place with a texting-first emphasis and conversation prompts rather than autonomous handling.","Jungo can reach Salesforce AI capabilities, but that means additional licensing and configuration rather than a mortgage-native feature you switch on. Surefire brings strong generated content inside an enterprise Encompass workflow, without autonomous borrower conversations. Velocify and Shape are built around distribution speed and dialer discipline, which is a different answer to the same problem.","MortgageCoach belongs in a separate box: a borrower presentation engine, not an AI CRM, and a good complement to whichever system of record you choose."],bullets:["Autonomous conversations and booking today: LoanOfficer.ai","Assistive AI on mature automation: Aidium, BNTouch, Bonzo","AI via platform add-ons and extra licensing: Jungo","Enterprise content generation, no autonomous conversations: Surefire","Speed by routing and dialer rather than AI: Velocify, Shape"]},{heading:"ROI math on a 30-lead-per-month pipeline",paragraphs:["Run the numbers on your own pipeline rather than a vendor's case study. Here is the structure with conservative inputs, using thirty new leads a month.","Start with contact rate. Manual follow-up on internet leads, with a loan officer who is also originating, commonly lands somewhere in the low-to-mid double digits â call it 25 percent contacted, so about seven or eight conversations. Autonomous follow-up that fires in under a minute and runs six to ten varied attempts typically lifts that materially;
1 assume a lift to 40 percent and you get twelve conversations from the same thirty leads.","Then apply your own appointment and closing ratios rather than borrowed ones. If a third of conversations become appointments and a third of appointments close, seven conversations produce roughly one closing a month and twelve produce closer to one and a half. On an average commission of a few thousand dollars per file, half a loan a month is the entire cost of the platform several times over.","Add the database side, which is where the math usually stops being close. A reactivation agent working two thousand past contacts for equity and rate reasons only needs to surface a couple of live conversations a month to double the return, and those conversations convert better than purchased leads because the borrower already knows you.","Then subtract honestly. The subscription, messaging and telephony usage, any one-time onboarding fee, and roughly a month of your own attention to correct scripts and clean data. And keep the leverage in view: the same platform cost applies whether you send it thirty leads or a hundred and thirty, which is why the return improves with volume rather than with features.","Set a ninety-day scorecard before you buy: median time to first contact, contact rate by source, appointments booked, and reactivated conversations from your existing database. If those four have not moved by day ninety, the configuration or the lead source is the problem â more AI will not fix either."]},{heading:"Migrating from BNTouch or Bonzo",paragraphs:["Both migrations are routine, and both have a specific trap worth knowing before you start.","Coming off BNTouch, the trap is campaign sprawl. Years of drip sequences with accumulated exceptions do not translate to a platform where the AI handles the conversation, and porting them faithfully recreates a manual cadence inside a system designed to work autonomously. Export contacts, notes, tags, loan records and consent history first, then rebuild only the sequences you can justify â usually speed-to-lead, purchase nurture, and post-close.","Coming off Bonzo, the trap is data structure. A texting-first system tends to hold rich conversation history and thinner structured records, so plan on field mapping work: loan purpose, stage, property address, and partner relationships often need to be reconstructed from notes. Pull the conversation history anyway â it is training material for an AI that should sound like you.","In both cases migrate suppression and do-not-contact lists before any marketing data, so no automated message ever reaches someone who already opted out. Then import past clients, active pipeline, open leads, and referral partners in that order.","Run parallel for two to four weeks with all new leads going to the new platform while the old one stays readable, and cancel only after a loan has closed end to end in the new system and your final export is verified. Ask about export terms and notice periods before you sign the new contract, not when you are leaving it."],bullets:["Export everything â contacts, notes, tags, loan records, consent â before giving notice","Move opt-out and do-not-contact lists first, ahead of marketing data","Rebuild sequences instead of porting them; start with speed-to-lead","Keep old conversation history as voice-training material for the AI","Run parallel until one loan closes end to end in the new platform"]}],faqHeading:"AI mortgage CRM FAQ",faq:[{q:"What is an AI mortgage CRM?",a:"A mortgage CRM where the software takes actions on its own: replying to a new lead within a minute, holding a qualification conversation, booking appointments on a live calendar, and scanning your database for refinance, equity and mortgage-insurance opportunities â rather than only reminding you to do those things."},{q:"How do I tell autonomous AI from AI-assist in a demo?",a:"Ask who presses send. Submit a live lead on the vendor's own site, watch for a reply inside a minute, push the conversation through one objection, and confirm an appointment lands on a calendar without anyone touching a keyboard. If the flow ends in a draft awaiting approval, it is assistive."},{q:"Is AI messaging TCPA compliant?",a:"It can be, and the obligation is yours rather than the vendor's. You need documented opt-in for calls and texts, immediate and permanent opt-out handling across every sequence, quiet hours in the borrower's time zone, suppression list enforcement on import and send, and retrievable transcripts."},{q:"Will AI messages sound robotic to borrowers?",a:"That depends on whether the system is trained on your own conversations, pricing and tone before it talks to a live lead. Generic prompts produce generic messages; a platform that learns from your corrections converges on your voice within a few weeks."},{q:"How much does an AI mortgage CRM cost?",a:"Expect a per-seat subscription plus messaging and telephony usage, and a one-time onboarding fee at most vendors. LoanOfficer.ai starts at $1 for a 14-day trial with month-to-month plans from $197 per month for 2 seats; enterprise incumbents in the category are quoted per seat under longer contracts."},{q:"Can AI replace a loan officer assistant?",a:"It replaces the repetitive part of the role â first-touch attempts, c
1adence discipline, document reminders, and database scanning. It does not replace judgment on file structure, exception requests, or relationships with agent partners, which is where a good assistant's time should be going anyway."}],related:[{label:"Plans and the $1 14-day trial",to:"/pricing"},{label:"How AI follow-up works in practice",to:"/features/ai-follow-up"},{label:"Best CRM for loan officers: 8 tools compared",to:"/best/loan-officer-crm"},{label:"An honest mortgage CRM comparison",to:"/blog/mortgage-crm-honest-comparison"},{label:"Wholesale lender directory for brokers",to:"/mortgage-central/wholesale-lenders"}],cta:{heading:"Watch the AI work a real lead",body:"Start for $1 and let the AI answer your next inbound inquiry before you decide whether the category lives up to the label.",href:"/trial",label:"Start for $1"}},z=[{heading:"Contact management is the part of a mortgage CRM that quietly decides your revenue",paragraphs:["Generic CRMs track contacts. Mortgage contact management tracks a borrower through credit pulls, rate locks, appraisals, title work and regulatory checkpoints â a different job with different failure points. The revenue math is direct: on a $500,000 loan a loan officer typically earns 0.5%â1%, so $2,500â$5,000 per closed file. One lead that slips because nobody followed up is not an administrative annoyance.","Structured contact management also protects marketing spend. When a large share of inbound leads never gets a callback, part of every lead-generation dollar is wasted before anyone picks up the phone. A system that captures, tags, assigns and routes the moment a form is submitted closes that gap, and it does it the same way for every lead source.","The use case changes shape with the shop, not the principle. A solo LO needs automation to sustain follow-up volume one person cannot. A small team needs standardized borrower communication so the experience does not depend on which LO owns the file. A producing branch manager needs visibility into who is converting and where leads stall. A brokerage needs centralized contact data, referral tracking and compliance logging across originators."],bullets:["Core contact database â deduplication, a full borrower timeline, and tag-based segmentation, with every interaction, document request and status change attached to one record.","Automation that actually fires â instant intake creates the contact, applies tags, assigns the owner and starts the sequence on form submit, with SMS, email and a phone task coordinated rather than chosen one at a time.","Pipeline and opportunity management â mortgage stages plus refinance, equity and PMI opportunities surfaced from the existing database instead of found by manual search.","Security and compliance floor â audit trail, role-based access control, SOC 2 Type II, TCPA-compliant communication logging and RESPA-aware referral tracking. Ask specifically; do not assume.","Mobile parity â full workflow on a phone (intake, routing, messaging, task completion), not a read-only dashboard. If an LO cannot take a lead at an open house, the mobile app is cosmetic."]},{heading:"The integration map to expect before you sign",paragraphs:["Integration depth is where a mortgage CRM either earns its keep or quietly fails, and the data flow matters as much as the feature list. The goal is one source of truth in the contact record: every lead source, every LOS status change, every call and text writes back to the same record with no manual re-entry. Broker surveys consistently put integration with existing systems near the top of the technology priority list, and it is the first thing to test in a demo rather than the last.","Prioritize native LOS connectors over generic API projects. A native connector is tested, maintained and documented; a custom API build is a project that needs attention every time either system updates. For most mortgage teams the time-to-value difference between the two is measured in weeks."],bullets:["LOS connectors with field-level mapping â Encompass, Calyx Point, LendingPad, Byte, Arive. A loan stage change in the LOS should appear in the CRM without anyone typing it twice.","Phone dialer and SMS sync â outbound calls logged automatically, inbound calls routed to the right LO, S
1MS threads attached to the contact. A dialer that does not write back is a second silo.","Web lead sources â Zillow, Facebook Lead Ads, website forms and landing pages pushing in via native connectors or webhooks. Middleware adds latency and failure points.","Marketing automation â email and campaign tools that pull contact data and push engagement signals back into the record.","Property and equity data feeds â live value and equity inside the contact record so refinance and HELOC mining is a standing alert, not a lookup you have to remember to run."]},{heading:"Implementation: how long it really takes and what it costs all in",paragraphs:["Timelines vary more than vendors admit. A solo LO or small team on a quick-start platform can be live in days to two weeks. A standard rollout â LOS connector configuration, custom pipeline stages, data migration, live training â runs about four weeks. Enterprise deployments with multi-branch setup, custom API work and compliance review run two to four months or more, and Salesforce Financial Services Cloud implementations with custom objects have run three to six.","The single biggest variable is the LOS connection. Connecting Encompass requires admin access and coordination with your ICE Mortgage Technology account; plan for one to two extra weeks regardless of which CRM you pick.","Advertised per-seat pricing rarely equals what you pay. Published mid-market mortgage CRM pricing generally starts in the $65â$165 per user per month range, solo-focused platforms commonly sit around $99â$199, and enterprise contracts are custom. Budget separately for one-time onboarding or migration fees, LOS integration setup where custom work is needed, extra seats for processors and assistants, premium support tiers, and metered SMS credits or dialer minutes. Ask for a 12-month total cost of ownership across your whole team rather than a seat price.","One cost that never appears in a proposal: delayed go-live. Every week of manual lead handling during implementation is a week without automation, and for a team closing 10â15 loans a month that is a real number in the comparison."],bullets:["Map every active lead source to an intake workflow in the CRM.","Configure and test the LOS connector against a live file, not a sample record.","Run one test lead from web-form submit through to a completed first-contact task.","Provision the mobile app for every LO and confirm task completion works on device.","Train on the daily workflow rather than taking a feature tour.","Ask the vendor for the average time-to-first-contact their customers hit after go-live â a vendor confident in onboarding answers without hesitation."]},{heading:"Support and training: what is included and what is an add-on",paragraphs:["Support quality varies more between platforms than pricing does. Most vendors include a knowledge base and email support at the base tier, put live chat and phone support on a higher plan, and treat a dedicated onboarding specialist as a paid add-on or a large-account privilege.","For mortgage professionals, training content matters as much as response time. Ask whether the material is mortgage-specific or a generic CRM tutorial library. Onboarding built around mortgage workflows shortens the gap between signing and the day loan officers are actually working in the system instead of just logging into it."]},{heading:"Questions to ask every mortgage CRM vendor before you buy",paragraphs:["Walk into each demo with the same list. The answers separate platforms faster than any feature grid, and a vendor who cannot answer the LOS or compliance questions in specific terms is telling you how the product was built."],bullets:["Which LOS systems do you integrate with natively, and is the connection bidirectional?","What is included in the base price, and what costs extra?","How long does onboarding take, and who manages it?","Show me how the platform handles a rate-drop alert across 200 past clients.","What does the referral partner tracking workflow look like in practice?","What is the contract length, and what are the exit terms?","How do you handle compliance for SMS and email communications?","Which support tier is
1included, and what does escalation look like?"]},{heading:"Choosing for a brokerage: a selection checklist",paragraphs:["For a brokerage the decision is less about the feature list and more about matching your existing workflow to what the software does natively, before any customization. Configuration you have to build yourself is a cost that recurs every time either system changes."],bullets:["LOS integration â direct connection to your origination system, or a third-party connector you have to maintain?","Mortgage-specific automation â are follow-up triggers, rate alerts and pipeline stages built in, or assembled by you?","Team-size fit â confirm the platform scales from the originators you have to the volume you are planning for.","Onboarding timeline â adoption ranges from a few weeks to several months depending on customization depth.","Pricing model â per-seat subscription versus enterprise licensing, with onboarding often billed separately.","Security and compliance â encryption, audit trails and access controls that satisfy your regulatory obligations.","Mobile capability â full pipeline access on a phone if your originators work outside the office.","Support â mortgage-specific onboarding help, not just generic documentation."]},{heading:"How general-purpose CRMs compare for mortgage work",paragraphs:["Brokers regularly shortlist horizontal CRMs, and they are good software â they are simply solving a different problem. Each one below is capable, and each one leaves the mortgage-specific layer for you to build.","The conventional advice is to pick the CRM with the most integrations or the biggest brand. That works for a team selling software. It works less well for a mortgage pipeline where compliance, timing and borrower trust are all live at once, and where the configuration cost of a general platform is real in time, money and ongoing maintenance."],subsections:[{heading:"Pipedrive",paragraphs:["A clean, visual pipeline tool brokers adopt when they want simplicity over specialization. Contact management, activity tracking and custom stages are strong and the interface is easy to learn. Out of the box there is no LOS sync, no rate-alert trigger and no borrower equity monitoring, so it fits a broker who wants a lightweight deal tracker alongside separate compliance and marketing tools. Published pricing starts around $14 per user per month."]},{heading:"monday CRM",paragraphs:["Workflow automation and CRM in one platform, appealing when loan stages, team tasks and client communication should live in a single view. The automation builder and dashboards are flexible; native mortgage integrations are absent, so a LOS connection means third-party tooling or custom configuration. Published pricing starts around $12 per user per month."]},{heading:"Salesforce",paragraphs:["The enterprise option: loan pipeline management, borrower onboarding, document handling and scalable communications, with integrations to multiple LOS platforms and lending tools. The trade-off is complexity â implementation runs months, dedicated admin resource is assumed, and cost scales quickly. Right for large brokerages with IT support and deep customization needs; usually more platform than an independent broker or small team needs."]},{heading:"HubSpot Smart CRM",paragraphs:["Strongest at marketing automation and ease of use, with a genuinely usable free tier for contact management and email, and paid tiers adding reporting and sequences. Brokers use it for lead nurturing and realtor outreach rather than loan pipeline management: there is no native LOS integration and no mortgage workflow template."]},{heading:"Creatio",paragraphs:["A no-code platform for building custom loan-processing workflows without writing code, with AI-native automation for task routing and process triggers. It sits between a general CRM and a mortgage platform â more customizable than HubSpot or Pipedrive, more configuration time than a purpose-built mortgage tool."]}]},{heading:"The nice-to-haves that actually matter, and the cost of getting this wrong",paragraphs:["Past the non-negotiables, four features separate a good CRM from the one you are still using in five years: a smart dialer with local presence, voicemail drop and click-to-call from any re
1cord; realtor co-marketing that produces referrals without asking for them; an open API and Zapier support so anything the platform cannot do natively can be built around it; and a native mobile app â not a responsive web page â that lets you dial, text and update files from a phone.","Evaluate all of it on opportunity cost rather than monthly price. A platform that misses one refinance per quarter costs $3,000â$5,000 in commission, which is roughly the annual cost of a top-tier system gone on a single missed alert. A platform that lets a lead sit 45 minutes hands a meaningful share of inbound to whoever answered in three. On a $250K average loan amount, one extra loan a month is about $30,000 a year in additional GCI â that is the number to solve for, and it is why 2026 buyers weigh speed-to-lead and database mining above seat price."]}],F=[{q:"How long does a mortgage CRM implementation take?",a:"Quick-start rollouts for a solo LO or small team run days to two weeks. A standard rollout with LOS connector configuration, custom stages, data migration and live training is about four weeks. Enterprise deployments with multi-branch setup, custom API work and compliance review run two to four months or longer. The LOS connection is the biggest variable â Encompass in particular needs admin access and coordination with your ICE account, which adds one to two weeks on any platform."},{q:"What does a mortgage CRM cost all in, beyond the seat price?",a:"Published mid-market pricing generally starts in the $65â$165 per user per month range, with solo-focused platforms around $99â$199 and enterprise on custom contracts. Budget separately for one-time onboarding or data-migration fees, LOS integration setup where custom work is required, seats for processors and assistants, premium support tiers, and metered SMS credits or dialer minutes. Ask for a 12-month total cost of ownership for your whole team rather than a per-seat figure."},{q:"What integrations should a mortgage CRM support at minimum?",a:"A bidirectional LOS connector with field-level mapping, dialer and SMS sync that writes back to the contact record, native or webhook intake from your web lead sources, marketing and email automation, and live property and equity data for refinance and HELOC mining. Prefer native connectors over custom API projects â the connector is tested and maintained, the API build is a project you own forever."},{q:"What security and compliance features are non-negotiable?",a:"Treat an audit trail, role-based access control and SOC 2 Type II as the floor rather than a premium tier, and confirm TCPA-compliant communication logging plus RESPA-aware referral tracking are built in. Ask about each one specifically in the demo; they are rarely volunteered."},{q:"Can a general-purpose CRM like HubSpot, Pipedrive or monday work for mortgage?",a:"They can hold contacts and deals, and they are good at what they were built for, but none of them ship with LOS sync, mortgage pipeline stages, rate-alert triggers or borrower equity monitoring. Everything mortgage-specific becomes configuration you build and then maintain. That configuration cost is the practical argument for a purpose-built platform, and it is stronger than any feature checklist."},{q:"Does mobile matter in a mortgage CRM, or is it a checkbox?",a:"It matters when it is full workflow parity â lead intake, routing, messaging and task completion from the phone. A read-only mobile dashboard is cosmetic: if an LO cannot take and assign a lead from an open house, the work still waits for a desk."}],s=q("loan-officer-crm");function w(){var r;if(!s)return[];const n=[];n.push({heading:"What to look for in a loan officer CRM",paragraphs:[s.intro],bullets:s.buyingCriteria.map(a=>`${a.title} â ${a.body}`)});const t=s.comparisonTable;return n.push({heading:"2026 ranking: the loan officer CRMs scored",paragraphs:[s.subheadline,s.angle],...t?{table:{columns:t.headers,rows:t.rows}}:{},subsections:s.entries.map(a=>({heading:`${a.rank}. ${a.name}`,paragraphs:[a.tagline,a.bestFor,a.pricing,a.bottomLine].filter(
1Boolean),bullets:[...a.pros.map(d=>`Strength: ${d}`),...a.cons.map(d=>`Watch out: ${d}`)]}))}),(r=s.howToChoose)!=null&&r.length&&n.push({heading:"How to choose between them",paragraphs:[s.categoryContext],subsections:s.howToChoose.map(a=>{var d;return{heading:a.title,paragraphs:[a.body],bullets:(d=a.bullets)==null?void 0:d.map(o=>`${o.label} â ${o.body}`)}})}),n.push({heading:s.uniqueDeepDive.title,paragraphs:[s.uniqueDeepDive.body]}),n}function y(){const n=new Set(h.sections.map(t=>t.heading.toLowerCase()));return f.sections.filter(t=>!n.has(t.heading.toLowerCase()))}const l=q("mortgage-crm-for-teams");function C(){var r;if(!l)return[];const n=[{heading:"Running a CRM across a team: routing, permissions and reporting",paragraphs:[l.intro,l.categoryContext].filter(Boolean),bullets:l.buyingCriteria.map(a=>`${a.title} â ${a.body}`)}];(r=l.howToChoose)!=null&&r.length&&n.push({heading:"How to evaluate a CRM when more than one person touches the loan",paragraphs:[l.subheadline,l.angle].filter(Boolean),subsections:l.howToChoose.map(a=>{var d;return{heading:a.title,paragraphs:[a.body],bullets:(d=a.bullets)==null?void 0:d.map(o=>`${o.label} â ${o.body}
1`)}})}),n.push({heading:l.uniqueDeepDive.title,paragraphs:[l.uniqueDeepDive.body]});const t=new Set([...h.sections,...w(),...y()].map(a=>a.heading.toLowerCase()));return n.filter(a=>!t.has(a.heading.toLowerCase()))}function H(){const n=[],t=new Set;for(const r of[...h.faq,...(s==null?void 0:s.faq)??[],...f.faq,...(l==null?void 0:l.faq)??[],...F]){const a=r.q.trim().toLowerCase();t.has(a)||(t.add(a),n.push(r))}return n}function D(){const n=[],t=new Set;for(const r of[...h.related,...f.related])t.has(r.to)||r.to==="/best/loan-officer-crm"||(t.add(r.to),n.push(r));return n}function G(){const n=new Set([...h.sections,...w(),...y(),...C()].map(t=>t.heading.toLowerCase()));return z.filter(t=>!n.has(t.heading.toLowerCase()))}const I={...h,path:"/best/loan-officer-crm",eyebrow:"2026 Buyer's Guide",h1:"Best CRM for Loan Officers in 2026",sections:[...h.sections,...w(),...y(),...C(),...G()],faqHeading:"Loan officer CRM FAQ",faq:H(),related:D()},_={[A.path]:A,[I.path]:I},Q="https://loanofficer.ai",g=n=>n.replace(/^\s*\d+[.)]\s*/,"").split(/\s+[ââ|:]\s+/)[0].trim();function lt({path:n}){const t=_[n];if(!t)return null;const r=N(n),a=$(n),d={"@context":"https://schema.org","@type":"FAQPage",url:`${Q}${n}`,mainEntity:t.faq.map(o=>
1({"@type":"Question",name:o.q,acceptedAnswer:{"@type":"Answer",text:o.a}}))};return e.jsxs("div",{className:"min-h-screen bg-background",children:[e.jsxs(M,{children:[e.jsx("title",{children:r.title}),e.jsx("meta",{name:"description",content:r.description}),e.jsx("link",{rel:"canonical",href:a}),e.jsx("meta",{property:"og:title",content:r.title}),e.jsx("meta",{property:"og:description",content:r.description}),e.jsx("meta",{property:"og:url",content:a}),e.jsx("meta",{property:"og:type",content:"article"}),e.jsx("meta",{name:"twitter:card",content:"summary_large_image"}),e.jsx("script",{type:"application/ld+json",children:JSON.stringify(d)})]}),e.jsx(T,{}),e.jsx(O,{children:e.jsxs("div",{className:"max-w-4xl",children:[e.jsx(B,{items:[{label:"Home",to:"/"},{label:t.h1}]}),e.jsx(E,{children:t.eyebrow}),e.jsx("h1",{className:"font-display text-4xl md:text-6xl font-bold tracking-tight mb-6",children:t.h1}),t.intro.map(o=>e.jsx("p",{className:"text-lg text-muted-foreground leading-relaxed mb-4",children:o},o)),e.jsxs("div",{className:"flex flex-wrap gap-4 mt-8",children:[e.jsx(v,{asChild:!0,size:"lg",children:e.jsx(m,{to:t.cta.href,children:t.cta.label})}),e.jsx(v,{asChild:!0,size:"lg",variant:"outline",children:e.jsx(m,{to:"/demo",children:"Book a demo"})})]})]})}),t.sections.map((o,S)=>{var b;return e.jsx(x,{tone:S%2===0?"muted":"default",children:e.jsxs("div",{className:"max-w-4xl mx-auto",children:[e.jsx("h2",{className:"font-display text-2xl md:text-4xl font-bold tracking-tight mb-6",children:o.heading}),e.jsx("div",{className:"space-y-4 text-muted-foreground leading-relaxed",children:o.paragraphs.map(i=>e.jsx("p",{children:i},i))}),o.bullets&&e.jsx("ul",{className:"grid sm:grid-cols-2 gap-3 mt-8",children:o.bullets.map(i=>e.jsxs("li",{className:"flex items-start gap-3 text-sm",children:[e.jsx(R,{className:"w-5 h-5 text-emerald-500 mt-0.5 flex-shrink-0"}),e.jsx("span",{children:i})]},i))}),o.table&&e.jsx("div",{className:"mt-8 rounded-2xl border border-border bg-card p-4 md:p-6 overflow-x-auto",children:e.jsxs("table",{className:"w-full text-sm",children:[e.jsx("thead",{children:e.jsx("tr",{className:"border-b border-border",children:o.table.columns.map(i=>e.jsx("th",{className:"text-left py-3 px-3 font-display font-semibold",children:i},i))})}),e.jsx("tbody",{children:o.table.rows.map((i,c)=>e.jsx("tr",{className:"border-b border-border/60 last:border-0",children:i.map((u,p)=>e.jsx("td",{className:`py-3 px-3 align-top ${p===0?"font-medium":"text-muted-foreground"}`,children:p===0&&j(g(u))?e.jsxs("span",{className:"flex items-center gap-2",children:[e.jsx(k,{name:g(u),size:32,hideFallback:!0}),e.jsx("span",{children:u})]}):u},p))},c))})]})}),(b=o.subsections)==null?void 0:b.map(i=>e.jsxs("article",{className:"mt-8 rounded-2xl border border-border bg-card p-6 md:p-8",children:[e.jsxs("div",{className:"flex items-center gap-3 mb-3",children:[e.jsx(k,{name:g(i.heading),size:44,hideFallback:!0}),e.jsx("h3",{className:"font-display text-xl md:text-2xl font-bold",children:i.heading})]}),e.jsx("div",{className:"space-y-3 text-muted-foreground leading-relaxed",children:i.paragraphs.map(c=>e.jsx("p",{children:c},c))})]},i.heading))]})},o.heading)}),e.jsx(x,{tone:"primary",children:e.jsxs("div",{className:"max-w-4xl mx-auto",children:[e.jsx("h2",{className:"font-display text-2xl md:text-4xl font-bold tracking-tight mb-8",children:t.faqHeading}),e.jsx("div",{className:"space-y-6",children:t.faq.map(o=>e.jsxs("div",{className:"rounded-2xl border border-border bg-card p-6",children:[e.jsx("h3",{className:"font-display text-lg font-bold mb-2",children:o.q}),e.jsx("p",{className:"text-muted-foreground leading-relaxed",children:o.a})]},o.q))}),e.jsxs("div",{className:"mt-12",children:[e.jsx("h2",{className:"font-display text-xl font-bold mb-4",children:"Keep reading"}),e.jsx("ul",{className:"grid sm:grid-cols-2 gap-3",children:t.related.map(o=>e.jsx("li",{children:e.jsx(m,{to:o.to,className:"text-primary hover:underline",children:o.label})},o.to))})]})]})}),e.jsx(P,{title:t.cta.heading,subtitle:t.cta.body,primary:{label:t.cta.label,to:t.cta.href}}),e.jsx(L,{})]})}
1export{lt as default};
Line numbers count LF bytes from the start of the resource, as the search results do. Vendor segments are library code the classifier recognised; they are stored but not indexed. Bytes are shown as Latin1 characters, one per byte.