https://newmethod.ai/assets/PortalCompanyPlaybook-DylKz_IP.js

1import{n as x,V as g,j as e,i as n}from"./index-CET5x7Xa.js";import{g as b}from"./playbookConfig-0RkowRfG.js";import{R as f,T as y}from"./generateCategoricalChart-Bv1ASubo.js";import{A as v,a as w}from"./AreaChart-GwQjDO-C.js";import{C as j,X as N,Y as k}from"./YAxis-BbDpqfh2.js";const p="hsl(172 66% 50%)",h="hsl(210 8% 40%)",r={hidden:{opacity:0,y:20},visible:(s=0)=>({opacity:1,y:0,transition:{delay:s*.08,duration:.45,ease:[.25,1,.5,1]}})};function A(){const s=[{approach:"IT-led initiative",outcome:"Stalls",why:"Tools get deployed that no one uses. No executive mandate.",bad:!0},{approach:"Consultant engagement",outcome:"Fails",why:"Strategy delivered. CEO doesn't understand the capability. Execution dies at rollout.",bad:!0},{approach:"Pilot project first",outcome:"Stalls",why:"Proof of concept has no champion. Sits in infinite proof-of-concept.",bad:!0},{approach:"CEO bootcamp first",outcome:"Compounds",why:"The CEO becomes a practitioner, then a sponsor, then the company's biggest driver.",bad:!1}];return e.jsx("div",{className:"mt-6 space-y-2",children:s.map(t=>

1e.jsxs("div",{className:`flex items-start gap-4 rounded-xl p-4 border ${t.bad?"bg-landing-surface border-landing-border opacity-60":"bg-amber-400/10 border-amber-400/30"}`,children:[e.jsx("span",{className:`text-xs font-medium px-2.5 py-0.5 rounded-full mt-0.5 shrink-0 ${t.bad?"bg-red-500/10 text-red-400":"bg-amber-400/20 text-amber-400"}`,children:t.outcome}),e.jsxs("div",{children:[e.jsx("p",{className:`text-sm font-medium ${t.bad?"text-landing-muted/60 line-through decoration-landing-muted/30":"text-landing-fg"}`,children:t.approach}),e.jsx("p",{className:"text-xs text-landing-muted/70 mt-0.5",children:t.why})]})]},t.approach))})}function I(){const s=[{week:"Day 1–3",title:"AI Baseline Assessment",detail:"Map every executive's current AI exposure. Identify the highest-value use cases per role before writing a single line of prompt."},{week:"Wk 1",title:"CEO & CFO Workshop",detail:"Hands-on session. Both executives build a working AI tool calibrated to their function — not a demo, a live instrument they'll use tomorrow."},{week:"Wk 2",title:"Leadership Team Deployment",detail:"VP-layer and ops leads get role-specific AI assistants — each tuned to their data and daily decisions."},{week:"Wk 3–4",title:"90-Day Plan Built",detail:"With leadership now using AI daily, the transformation roadmap is created by people who understand what they're mandating."},{week:"Wk 5–6",title:"First Process Targeted",detail:"The highest-ROI process is selected and deployment begins. The bootcamp credibility converts the mandate into action."}];return e.jsxs("div",{className:"mt-6 relative",children:[e.jsx("div",{className:"absolute left-5 top-0 bottom-0 w-px bg-landing-border"}),e.jsx("div",{className:"space-y-5",children:s.map((t,i)=>e.jsxs("div",{className:"flex gap-5 relative",children:[e.jsx("div",{className:"w-10 h-10 rounded-full bg-landing-surface border border-landing-border flex items-center justify-center shrink-0 z-10",children:e.jsx("span",{className:"text-[10px] font-mono text-amber-400",children:i+1})}),e.jsxs("div",{className:"pb-2",children:[e.jsxs("div",{className:"flex items-baseline gap-2",children:[e.jsx("p",{className:"text-sm font-medium",children:t.title}),e.jsx("span",{className:"text-[10px] text-landing-muted font-mono",children:t.week})]}),e.jsx("p",{className:"text-xs text-landing-muted/80 mt-1 leading-relaxed",children:t.detail})]})]},t.week))})]})}const T=[{role:"CEO",tool:"Operator Intelligence",description:"Tuned to the company's data: board decks, customer contracts, financials, and regulatory filings. Ask the questions you'd normally wait three days to get answered.",icon:"◈",accent:!0},{role:"CFO",tool:"Cash Flow Simulator",description:"Models liquidity scenarios in real time. Surfaces covenant risks, AR aging anomalies, and cost structure drift before they appear in the board deck.",icon:"◻",accent:!1},{role:"Head of Ops",tool:"Process Intelligence",description:"Maps every core process to the maturity ladder. Identifies the next automation candidate and models the ROI of deploying into it before committing resources.",icon:"◇",accent:!1},{role:"Head of Sales",tool:"Pipeline Intelligence",description:"Reads pipeline data against historical close patterns. Surfaces coaching signals, risk flags in the funnel, and ICP drift before the quarter closes.",icon:"⬡",accent:!1}];function C(s){return[{number:"01",name:"Collapsibility Assessment",description:"Two independent scores — Disruption Risk and Value Capture — placed on a 2×2 posture matrix. Tells you how much of the business is at risk and how much AI can unlock. The output sets the whole transformation sequence.",output:"Output: posture assignment — high-leverage / build-now / urgent / optimize",color:"text-landing-accent",border:"border-landing-accent/30",bg:"bg-landing-accent/10"},{number:"02",name:"Software Value Test",description:"Strips every platform down to what a well-funded competitor with AI couldn't replicate in 6 months. Identifies the actual moat — which is rarely the code, usually the data, the regulatory cert, or the network.",output:"Output: data gravity / regulatory certification / network effect / no moat",color:"text-blue-400",border:"border-blue-400/30",bg:"bg-blue-400/10"},{number:"03",name:"Process Maturity Ladder",description:`Maps every core process L0–L5. The highest-value transformation plays in a ${s} hold are L0→L2 and L1→L3. You cannot automate what you cannot measure.`,output:"Output: prioritized process map with ROI multiple and timeline per step",color:"text-amber-400",border:"border-amber-400/30",bg:"bg-amber-400/10"},{number:"04",name:"Expert Knowledge Audit",description:"Finds the institutional knowledge walking around in domain experts' heads and encodes it into RAG systems that compound — instead of retiring when the expert does.",output:"Output: domain RAG blueprints + cross-portfolio leverage map",color:"text-violet-400",border:"border-violet-400/30",bg:"bg-violet-400/10"},{number:"05",name:`${s} Growth Thesis`,description:"AI math overwhelmingly favors growth over cost. Models which processes to deploy first, what data accumulates, and what moat that creates — written in strategic language from day one.",output:"Output: competitive narrative with flywheel sequence and defensibility story",color:"text-rose-400",border:"border-rose-400/30",bg:"bg-rose-400/10"}]}function L(){const s=[{level:"L5",label:"Autonomous",desc:"End-to-end AI — no human in the loop",color:"bg-landing-accent",text:"text-landing-bg"},{level:"L4",label:"AI-Led",desc:"AI drives; humans validate edge cases",color:"bg-teal-500/70",text:"text-landing-fg"},{level:"L3",label:"AI-Assisted",desc:"AI augments humans in real time",color:"bg-blue-500/60",text:"text-landing-fg"},{level:"L2",label:"Structured",desc:"Documented, repeatable, measured",color:"bg-blue-700/50",text:"text-landing-fg"},{level:"L1",label:"Measured",desc:"Baseline data exists, no structure",color:"bg-landing-surface-light",text:"text-landing-muted"},{level:"L0",label:"Unmeasured",desc:"No data. Can't automate this yet.",color:"bg-red-900/40",text:"text-red-400"}];return e.jsxs("div",{className:"mt-6 space-y-2",children:[s.map(t=>e.jsxs("div",{className:"flex items-center gap-3 rounded-lg overflow-hidden border border-landing-border",children:[e.jsx("div",{className:`${t.color} ${t.text} w-10 h-10 flex items-center justify-center text-xs font-mono font-bold shrink-0`,children:t.level}),e.jsxs("div",{className:"flex items-baseline gap-3 py-2",children:[e.jsx("span",{className:"text-sm font-medium",children:t.label}),e.jsx("span",{className:"text-xs text-landing-muted",children:t.desc})]}),(t.level==="L1"||t.level==="L3")&&e.jsx("div",{className:"ml-auto mr-3 shrink-0",children:e.jsx("span",{className:"text-[9px] uppercase tracking-widest text-landing-accent bg-landing-accent/10 px-2 py-0.5 rounded-full",children:t.level==="L1"?"Start here":"36-mo target"})})]},t.level)),e.jsx("p",{className:"text-xs text-landing-muted/70 leading-relaxed pt-1",children:"Most processes sit at L0–L1 today. 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1cture before the wave erodes physical and regulatory barriers.",actions:["Build RAG systems around domain expert knowledge now","Launch data flywheel in highest-value growth processes","AI-native product development before competitors close the gap","Position as data-enriched, defensible operator — not just a services business"],color:"text-landing-accent",border:"border-landing-accent/30",bg:"bg-landing-accent/10"},{posture:"Build Now",condition:"DR 20–44 · VC > 60",description:"Moderate risk, high opportunity. AI can displace parts of the business — and create 3–5× value in others. The window is open and closing. Methodical deployment beats speed without sequence.",actions:["Process maturity assessment first — map before you automate","Prioritize L1→L2 transitions for highest near-term ROI","Deploy 1 AI system into live operations within 90 days","Revisit displacement risk assessment quarterly"],color:"text-blue-400",border:"border-blue-400/30",bg:"bg-blue-400/10"},{posture:"Urgent",condition:"DR > 44 · VC > 70",description:"The same AI creating displacement risk is the fastest path to rebuilding moat. Defense and offense are the same move here. Don't wait for a perfect process map — deploy, iterate, and build the data lead.",actions:["Emergency CEO bootcamp — this week, not next quarter","Identify the 1 process most at displacement risk. Deploy first.","Customer intelligence and domain RAG within 30 days","Position as AI-led market leader — not as a legacy provider left behind by the frontier"],color:"text-red-400",border:"border-red-400/30",bg:"bg-red-400/10"},{posture:"Optimize",condition:"DR < 20 · VC < 60",description:"Structural moat is intact. AI transformation upside is more modest and bounded. Selective deployment focused on cost efficiency and operational leverage — don't over-invest here.",actions:["Targeted automation of highest-cost manual processes","AI for compliance and documentation overhead reduction","Evaluate AI-native product extensions selectively","Preserve capital for higher-VC opportunities in the portfolio"],color:"text-landing-muted",border:"border-landing-border",bg:"bg-landing-surface"}];function E(){return e.jsx("div",{className:"mt-6 grid sm:grid-cols-2 gap-4",children:O.map((s,t)=>e.jsxs(n.div,{custom:t,initial:"hidden",whileInView:"visible",viewport:{once:!0},variants:r,className:`rounded-xl p-5 border ${s.bg} ${s.border}`,children:[e.jsxs("div",{className:"flex items-baseline gap-3 mb-3",children:[e.jsx("p",{className:`text-sm font-medium ${s.color}`,children:s.posture}),e.jsx("span",{className:`text-[9px] font-mono opacity-60 ${s.color}`,children:s.condition})]}),e.jsx("p",{className:"text-xs text-landing-muted/80 leading-relaxed mb-4",children:s.description}),e.jsx("ul",{className:"space-y-1.5",children:s.actions.map(i=>e.jsxs("li",{className:"flex items-start gap-2 text-xs text-landing-muted/70",children:[e.jsx("span",{className:`w-1.5 h-1.5 rounded-full mt-1 shrink-0 opacity-60 ${s.color.replace("text-","bg-")}`}),i]},i))})]},s.posture))})}const P=[{month:"M1",value:0},{month:"M3",value:5},{month:"M6",value:18},{month:"M9",value:37},{month:"M12",value:58},{month:"M18",value:80},{month:"M24",value:93}];function R(){return e.jsxs("div",{className:"mt-6 space-y-3",children:[e.jsx("p",{className:"text-xs uppercase tracking-widest text-landing-muted",children:"Cumulative % value unlocked — continuous deployment model"}),e.jsx(f,{width:"100%",height:200,children:e.jsxs(v,{data:P,margin:{top:4,right:8,left:-24,bottom:0},children:[e.jsx("defs",{children:e.jsxs("linearGradient",{id:"companyDeployGrad",x1:"0",y1:"0",x2:"0",y2:"1",children:[e.jsx("stop",{offset:"5%",stopColor:p,stopOpacity:.3}),e.jsx("stop",{offset:"95%",stopColor:p,stopOpacity:.02})]})}),e.jsx(j,{stroke:"hsl(210 12% 14%)",strokeDasharray:"3 3"}),e.jsx(N,{dataKey:"month",tick:{fill:h,fontSize:10},axisLine:!1,tickLine:!1}

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1ompetitors cannot replicate quickly."}),e.jsx("div",{className:"grid sm:grid-cols-3 gap-6 mt-8",children:[{label:"Before AI deployment",metric:"Services-bound position",detail:"Revenue-based, margin-compressed, people-dependent. Limited defensibility."},{label:"24 months of AI ops",metric:"AI-defensible operator",detail:"Data flywheel active. AI systems running. Proprietary intelligence visible to market.",highlight:!0},{label:"Competitive standing",metric:"Sustained advantage",detail:"Intelligence compound over rivals. Barriers to replication are data, speed, and organizational muscle."}].map(({label:a,metric:l,detail:m,highlight:u})=>e.jsxs("div",{children:[e.jsx("p",{className:"text-[10px] uppercase tracking-widest text-landing-muted mb-1",children:a}),e.jsx("p",{className:`text-sm font-medium mb-2 ${u?"text-rose-400":""}`,children:l}),e.jsx("p",{className:"text-xs text-landing-muted/80 leading-relaxed",children:m})]},a))})]})]}),e.jsxs(n.div,{initial:"hidden",whileInView:"visible",viewport:{once:!0},variants:r,className:"border-t border-landing-border pt-16 text-center space-y-4",children:[e.jsx("p",{className:"text-xs uppercase tracking-[0.2em] text-landing-muted",children:"The principle"}),e.jsx("p",{className:"font-display text-[clamp(1.4rem,3vw,2.2rem)] leading-snug max-w-3xl mx-auto",children:`"Transformation doesn't start with technology. It starts with the CEO understanding what they're unleashing."`}),e.jsx("p",{className:"text-sm text-landing-muted max-w-xl mx-auto leading-relaxed",children:"Every company has a different posture and a different competitive context. The playbook adapts to where the company sits. The principle — start at the top, assess systematically, deploy early, and build the data moat — never changes."})]})]})}export{V as default};