// AICRO · Baizel · GTM Proposal — main app
const { useState, useEffect, useRef, useMemo, Fragment } = React;
const TWEAK_DEFAULTS = /*EDITMODE-BEGIN*/{
"icp": "developers",
"darkHero": true
}/*EDITMODE-END*/;
// ─── PROSPECT config ──────────────────────────────────────────────────
// Per-prospect scalar values, hoisted so a new build edits ONE block for the
// cross-cutting fields (name, addressee, sector, dates, links). The larger
// content arrays live in their sections; ICP_DATA is its own module object.
// Fixed brand, visuals, and workflow geometry stay hardcoded.
const PROSPECT = /*PROSPECT-CONFIG-BEGIN*/{
name: "Baizel",
slug: "baizel",
addressee: "Doug Sullinger",
addresseeFirst: "Doug",
addresseeRole: "Founder & CEO · Baizel",
sectorNoun: "CRE feasibility",
preparedDate: "July 6, 2026",
lastUpdated: "July 6, 2026",
calendlyUrl: "https://calendly.com/doug-aicro/custom-demo-qa",
}/*PROSPECT-CONFIG-END*/;
// ─── Logomark ─────────────────────────────────────
function Logomark({ size = 28 }) {
return (
);
}
// ─── Nav ─────────────────────────────────────
function Nav() {
return (
);
}
function Hero({ dark }) {
return (
Prepared for {PROSPECT.addressee} · {PROSPECT.name} · {PROSPECT.preparedDate}
Doug, you built the engine that turns weeks of site analysis into minutes. The one thing it can't do yet is reach the developers who've never heard of it. That's what we'd build.
You have the product. What you don't have yet is a systematic way to reach the finite universe of developers, brokers, architects, and investors who'd pay for that velocity. Content, the Georgia Tech partnership, and free trials are inbound. They don't touch the tens of thousands of firms who'll never search their way to Baizel. This page is both halves: who AICRO is and the engine we run, then the exact go-to-market we'd run for you. The operator who'd run it, Doug Shankman, scaled Crexi from zero to $70M before founding AICRO. We don't touch the product. We manufacture the at-bats and hand your reps booked demos.
{[
{v:"Crexi · $0 to $70M", l:"the operator who scaled a CRE marketplace · Doug Shankman"},
{v:"58 to 70%", l:"LinkedIn reply rate across our CRE book"},
{v:"346 meetings", l:"booked for one CRE client in a year · Capitalize"},
{v:"0 to engine", l:"you have no systematic outbound today · that is our job"},
].map((s,i) => (
);
}
// ─── Section 1: Market Thesis · Why Now ────────────────────────
function MarketThesis() {
const drivers = [
{
tag: "01 · THE PRE-DEVELOPMENT TAX",
stat: "12-36 mo",
statLbl: "entitlement timeline · plus six-figure studies",
title: "Feasibility and entitlement are the slowest, most expensive part of every deal.",
body: "Every developer, broker, and investor eats months of carrying cost and a $50,000 to $100,000-plus feasibility study before a shovel moves. Baizel collapses the first-pass version of that work from weeks to minutes, so the same team screens far more sites per dollar. This is not a nice-to-have. It is the single most painful line in the pre-development process, and the buyer feels it on every deal. A message anchored on that timeline is the highest-converting cold hook there is.",
source: "Source: AdventuresInCRE entitlement timelines + Allegro Realty feasibility cost, 2025",
},
{
tag: "02 · THE ZONING RESET",
stat: "124 laws",
statLbl: "pro-housing bills enacted in 2025 · 30+ states",
title: "Zoning is changing faster than any spreadsheet can track.",
body: "124 pro-housing laws passed in 2025 across more than 30 states. Montana now allows duplexes by-right on single-family lots. Washington, Texas, and Arizona rewrote what is buildable per parcel. When the rules change parcel by parcel, the firm that can re-underwrite zoning instantly wins the newly unlocked sites first. Baizel is the tool built for exactly that moment, and the moment is right now.",
source: "Source: Pew Charitable Trusts + Housing Affordability Institute, 2025",
},
{
tag: "03 · THE ADOPTION GAP",
stat: "5%",
statLbl: "of CRE firms have shipped AI into the workflow",
title: "Everyone's piloting AI. Almost no one has put it into the deal.",
body: "88% of CRE owners and investors have started AI pilots, and only 5% report hitting most of their AI goals, per JLL's survey of more than 1,500 decision-makers. The demand is proven and the budget is allocated. What is missing is a tool that produces a decision instead of a science project. A working, in-the-workflow AI product lands into a market that has already decided to buy, and just needs to be shown the one that works.",
source: "Source: JLL Global CRE Technology Survey, 2025",
},
{
tag: "04 · THE BUYER IS REACHABLE",
stat: "2.3×",
statLbl: "reply lift on timeline-anchored cold hooks",
title: "The people who'd buy this are finite, nameable, and under-contacted.",
body: "Roughly 60,000 US housing developers and 19,000 architecture firms, a concentrated universe you can name. In cold testing, timeline-anchored hooks reply at 2.3 times the rate of problem-based ones, and Baizel's entire story is compressing the timeline. AICRO already runs this exact CRE buyer. Capitalize booked 346 meetings in a year, our CRE clients hold LinkedIn positive-reply rates of 58 to 70 percent, and conference-sourced CRE campaigns hit 95 percent. The message writes itself and the CRE inbox is not crowded.",
source: "Source: AICRO active book (Capitalize, Gumption, Johnson Capital) + The Digital Bloom cold-email benchmarks, 2026",
},
];
return (
03 / Why now, for Baizel
The product is built. The ceiling is who's ever heard of it.
Baizel compresses weeks of parcel and feasibility work into minutes. The value it creates is now capped by one thing: how many of the right developers, brokers, architects, and investors ever open it. Four forces make closing that gap the highest-leverage move Baizel can make this year, and each one is a reason the outbound message lands right now.
{drivers.map((d,i) => (
{d.tag}
{d.stat}{d.statLbl}
{d.title}
{d.body}
))}
The obvious question, answered first
“Baizel already gets inbound from content, the Georgia Tech partnership, and free-trial signups. Why add outbound?” Because inbound only reaches the developers and brokers already looking for a tool like this, a fraction of the market, and the fraction your competitors are also fighting over. The tens of thousands of firms who have never searched for parcel-feasibility software are the ones with the most to gain and the least awareness. Outbound is the only motion that reaches them on purpose, in their language, before a competitor does. We create the demand your inbound never sees. You keep the product and the trial experience. That is your moat. We sit one layer up and feed it.
How a developer in your market becomes a booked demo.
Not a tool, an SDR, or a list. A working pipeline that runs every day. Below is exactly what happens between a developer or site-selection broker on LinkedIn and a demo on Doug Sullinger’s or Don Powell’s calendar, step by step, with the systems doing the work named.
{/* Workflow card */}
{/* Step 1: Inputs */}
~48K US developer, broker, AEC, and investor records
{inputs.map((x,i) => (
{x.lbl}
{x.sub}
))}
{/* Step 2: Signal layer */}
fires when a buyer is feeling the exact pain
{signals.map((s,i) => (
{s.lbl}
))}
Each contact gets scored against every signal. Highest-fit trigger becomes the relevance hook for that row. Daily refresh. We do not buy a single intent feed and call it signal.
{/* Step 3: Per-row composer */}
every line traceable to the signal that triggered it
INPUT
One developer row: role, firm, active pipeline, market, recent signal fired
You approve weekly. Doug Shankman walks the messaging review with Doug Sullinger, Don Powell, or the sales hire. Nothing ships without sign-off the first month.
{/* Step 4: Delivery — branch into two channels */}
send concurrently · throttled to operator inbox patterns
{channels.map((c,i) => (
{c.tag}
{c.head}
{c.sub}
))}
{/* Merge converter */}
{/* Step 5: Reply agent */}
median time-to-classify: 4 minutes
CLASSIFY
Positive · neutral · not interested · OOO · wrong person. Within minutes.
DRAFT
Reply written in your voice. Two specific times offered. Calendar link as fallback.
BOOK + ROUTE
Demo lands on the right Baizel rep’s calendar. No dashboard hunting.
Every reply lands in a dedicated Slack channel. You see it, the AE sees it, the bench sees it. One source of truth, not a dashboard nobody opens.
{/* Outcome */}
OUTCOME · DAY 30 ONWARD
A pre-qualified developer, broker, architect, or investor on Baizel’s calendar. Every week.
{/* Compounding loop footnote */}
Compounding loop. Every booked demo and closed customer feeds back into the seed list as a lookalike. The signal gets more accurate every month. The buyer profile sharpens against the firms Baizel actually closes, developer versus broker versus architect versus investor, and by market.
);
}
// ─── Section: Software Impact (timing × infra × conversion) ─────────────
// Three coordinated visuals that make the software's effect concrete:
// (A) Outreach-timing heatmap, when each Baizel buyer-type opens email + LI
// (B) Infrastructure stack — the named systems, their throughput, and how they connect
// (C) Conversion stack — every stage's compression, signal → trial
function SoftwareImpact() {
// ─── A · Timing Heatmap ────────────────────────────────────────────
// Hours run 7am→7pm operator-local. Values are calibrated reply-rate
// indices (100 = pool peak). Per-desk-type rows mirror the four ICPs.
const days = ["Mon","Tue","Wed","Thu","Fri"];
const hours = ["7","8","9","10","11","12","1","2","3","4","5","6"];
const heatRows = [
{
desk: "Developers",
sub: "Heads of acquisitions · dev managers",
cells: [
[16,28,52,76,82,36,28,52,74,82,68,42],
[22,38,68,92,98,42,30,62,86,94,76,44],
[24,40,70,90,94,40,28,60,84,90,72,40],
[22,36,66,86,90,38,26,56,80,86,68,36],
[12,22,38,54,58,24,18,32,50,56,40,18],
],
peak: "Tue 11 AM + 4 PM local",
window: "11 AM and 4 PM, between site reviews",
},
{
desk: "Site-Selection Brokers",
sub: "Tenant-rep MDs · retail advisory",
cells: [
[22,46,71,94,82,40,30,62,84,72,48,28],
[30,58,84,98,90,46,32,66,90,80,52,28],
[28,54,80,96,86,44,34,68,88,76,50,26],
[26,52,78,92,84,42,30,64,86,74,46,24],
[18,36,58,72,60,30,22,48,62,50,30,16],
],
peak: "Tue 10 AM local",
window: "10-11 AM + 3-4 PM dual-peak",
},
{
desk: "Architects / AEC",
sub: "Principals · BD + preconstruction leads",
cells: [
[20,38,64,88,92,28,18,44,72,82,58,24],
[28,52,82,98,96,30,18,50,80,90,66,22],
[30,56,84,96,90,28,18,52,82,90,64,22],
[26,48,78,92,88,28,18,48,76,86,60,20],
[14,28,48,60,54,18,14,32,46,52,36,14],
],
peak: "Wed 10-11 AM local",
window: "10-11 AM, then 3-4 PM between design reviews",
},
{
desk: "Investors",
sub: "Heads of acquisitions · underwriting",
cells: [
[32,52,72,82,68,40,38,56,72,64,42,22],
[40,62,84,92,76,46,42,64,80,72,48,22],
[42,64,84,90,74,44,40,62,78,70,46,20],
[38,60,80,86,72,42,38,58,74,66,42,18],
[22,40,56,64,50,28,26,40,52,46,28,12],
],
peak: "Tue + Wed 9-10 AM local",
window: "9-10 AM · before the deal-team standup",
},
];
const [activeRow, setActiveRow] = useState(0);
const heatColor = (v) => {
// Calibrated sky→shark gradient. v in [0,100].
if (v >= 90) return { bg:"#0E7DBC", fg:"#fff" };
if (v >= 75) return { bg:"#21A8F2", fg:"#fff" };
if (v >= 60) return { bg:"#5AC0FF", fg:"#0B2A3F" };
if (v >= 45) return { bg:"#A4DCFC", fg:"#0B2A3F" };
if (v >= 30) return { bg:"#D7EEFE", fg:"#475569" };
if (v >= 15) return { bg:"#EEF7FE", fg:"#94A3B8" };
return { bg:"#F8FAFC", fg:"#CBD5E1" };
};
// ─── B · Infrastructure Stack ──────────────────────────────────────
// Four named layers, each with a real throughput / capacity number,
// connected by directional arrows. Read top→bottom: list in, demos out.
const infra = [
{
tag:"INGRESS",
color:"#9D4EDD", tint:"#F4ECFE",
name:"Universe + 6-Signal Layer",
one:"Deduped roster scored daily against ICP.",
kpi:[{v:"32,000", l:"records"},{v:"6", l:"signal sources"},{v:"daily", l:"refresh"}],
},
{
tag:"OUTREACH",
color:"#21A8F2", tint:"#E9F5FE",
name:"AICRO Send + Connect + Outreach Agent",
one:"Email + LinkedIn in parallel, per-row composer, CRO-approved.",
kpi:[{v:"75+", l:"warm inboxes"},{v:"98.4%", l:"deliverability"},{v:"6-8", l:"LI seats"}],
},
{
tag:"REPLY",
color:"#0E9F66", tint:"#E5F9F0",
name:"Reply Agent in Slack",
one:"Classified in minutes, drafted in your voice, two times + fallback.",
kpi:[{v:"~4 min", l:"to classify"},{v:"6 states", l:"reply taxonomy"},{v:"100%", l:"surfaced"}],
},
{
tag:"COMPOUND",
color:"#FF8559", tint:"#FFEEE5",
name:"AICRO Rounds + Lookalike Loop",
one:"Daily CRM grade, closed-won lookalike feedback, weekly recalibration.",
kpi:[{v:"daily", l:"CRM grade"},{v:"monthly", l:"lookalike refresh"},{v:"weekly", l:"Doug in the room"}],
},
];
// ─── C · Conversion Stack (compression view) ──────────────────────
// Each step shows pool size + duration, with the compression each tool delivers
// versus the in-house baseline. Color codes match infrastructure layers.
// Stack runs past "logo closed" because Baizel is per-seat SaaS: the growth
// that compounds is seat expansion inside a firm (Team plan is 5 seats,
// Enterprise is unlimited) plus referral, not just the first signed logo.
const stack = [
{ stage:"Universe scored", pool:"48,000", unit:"records", delta:"-", who:"Universe + Signal", baseline:"3 weeks manual list build, instant here", color:"#9D4EDD" },
{ stage:"Signal-fit shortlist", pool:"5,400", unit:"high-fit accounts", delta:"-89% from universe", who:"Signal Layer scoring", baseline:"buyer list trimmed nightly", color:"#9D4EDD" },
{ stage:"Contacted", pool:"3,600", unit:"this 30-day batch", delta:"-33% to live touch", who:"AICRO Send + Connect", baseline:"vs. 4-6 wks SDR ramp, day 1 live", color:"#21A8F2" },
{ stage:"Engaged reply", pool:"165", unit:"all reply types", delta:"4.6%", who:"Outreach Agent personalization", baseline:"3x lift vs. generic email", color:"#21A8F2" },
{ stage:"Positive reply", pool:"108", unit:"interested", delta:"65.5%", who:"Voice-locked composer", baseline:"benchmark PRR by buyer-type", color:"#0E9F66" },
{ stage:"Demo booked", pool:"25", unit:"on Baizel calendar", delta:"23.1%", who:"Reply Agent, 2-times CTA", baseline:"~4 min median, no admin lift", color:"#0E9F66" },
{ stage:"Trial activated", pool:"8", unit:"in the product", delta:"32.0%", who:"AICRO Rounds, demo to trial trigger",baseline:"guided onboarding, live in 60 min", color:"#0E9F66" },
{ stage:"Closed customer", pool:"2-3", unit:"signed logos / mo", delta:"~28% trial-to-close",who:"Baizel product + guided onboarding",baseline:"the contract; the team starts here", color:"#FF8559" },
{ stage:"Seat expansion", pool:"5-20", unit:"seats / firm", delta:"land and expand", who:"Customer Success + Rounds nudges", baseline:"Team plan is 5 seats, Enterprise unlimited",color:"#FF8559" },
{ stage:"Compounding referral", pool:"3-5", unit:"warm intros / mo", delta:"month 4 onward", who:"Lookalike loop + closed-won seed", baseline:"the next customers, cheaper than the first", color:"#FF8559" },
];
const [r] = [activeRow];
return (
08 / The engine, drawn
The engine is the workflow. This is what compounds when it runs.
Three lenses on the same engine: when each Baizel buyer responds, what infrastructure carries the touch, how much compression every stage adds over the in-house baseline.
Calibrated reply-rate indices (100 = pool peak) across 5 weekdays × 12 operator-local hours. Sends are throttled to these windows automatically. Off-window sends still go, just down-weighted to keep deliverability healthy.
{heatRows.map((row,i) => (
))}
{hours.map((h,i) => (
{h}{i === 5 ? "p" : i >= 6 ? "p" : "a"}
))}
{heatRows[r].cells.map((row,di) => (
{days[di]}
{row.map((v,hi) => {
const c = heatColor(v);
return (
{v}
);
})}
))}
Peak send window
{heatRows[r].peak}
{heatRows[r].window}
Effect
Routing the right buyer-type to the right hour shifts reply rate 2.2× to 3.4× versus a flat 9-5 send cadence. The same copy, just scheduled differently.
Pool size, conversion, the tool doing the work, and the in-house baseline it beats. Each row is an investable compression point.
Stage
Pool
→ Next
System doing the work
Baseline · in-house build
{stack.map((s,i) => {
// Bar width scales logarithmically so universe and closed-customer
// can sit in the same chart without burying the bottom rows.
const poolNum = parseInt(s.pool.replace(/[^\d]/g, "")) || 1;
const widthPct = Math.max(4, Math.min(100, (Math.log10(poolNum + 1) / Math.log10(33000)) * 100));
return (
A logo is a flag. What compounds for Baizel is seats and referrals. The engine doesn’t stop at the signed contract, it keeps surfacing nudges until the firm expands from a trial seat to the whole deal team and feeds the next batch of lookalikes back into the seed.
Not an agency. Not a tool. A fractional revenue org.
A CRO, a delivery team, and a product platform in one engagement, inside your CRM, paid as one monthly retainer. Run by the same operator who scaled Crexi from zero to $70M and runs Gumption, Capitalize, and Johnson Capital today, calibrated for CRE developers, site-selection brokers, AEC firms, and investors.
);
}
// ─── Phase 1 — Detect (cleaner signal map) ─────────────
function SignalMapVisual() {
const nodes = [
{ x:"50%", y:"14%", cls:"hot", tag:"NEW DEVELOPMENT PIPELINE", co:"$1.3B retail build-out announced · 18-month window" },
{ x:"22%", y:"36%", cls:"hot", tag:"HEAD OF ACQUISITIONS HIRED", co:"Mid-market developer · entering a new market" },
{ x:"78%", y:"36%", cls:"warm", tag:"NEW-MARKET OFFICE OPENING", co:"National developer · Phoenix + Nashville, no local team" },
{ x:"22%", y:"66%", cls:"warm", tag:"FUND CLOSE · CAPITAL LIVE", co:"Opportunistic RE fund · $5B oversubscribed close" },
{ x:"78%", y:"66%", cls:"match", tag:"NO FEASIBILITY SOFTWARE", co:"Broker running zoning + trade-area in spreadsheets" },
{ x:"50%", y:"86%", cls:"hot", tag:"LAND ACQUISITION / ASSEMBLAGE", co:"Developer assembling a multi-parcel site" },
];
return (
Live deal-team signals142↑ 18 new this week
{nodes.map((n,i) => (
{n.tag}{n.co}
))}
);
}
function PhaseDetect() {
const sources = [
{ lbl:"Job postings · acquisitions / development manager", val:"Deal pipeline outrunning the team in the JD" },
{ lbl:"Development pipeline + land-acquisition news", val:"Firms actively buying and building right now" },
{ lbl:"New-market office openings + expansions", val:"New team in a new market, no local rolodex" },
{ lbl:"Tech-stack detection · GIS / zoning / feasibility",val:"Still running feasibility in spreadsheets" },
{ lbl:"Fund closes + capital raises", val:"Deployment clock now running against a lean team" },
{ lbl:"ICSC · NMHC · ULI · MBA CREF rosters", val:"Conference rosters carry buying-intent windows" },
];
return (
{sources.map((s,i) => (
{s.lbl}{s.val}
))}
);
}
// ─── Phase 2 — Outreach ─────────────
function PhaseOutreach() {
const products = [
{
mark:"send",
name:"AICRO Send",
tag:"EMAIL OUTBOUND PLATFORM",
desc:"75+ warmed sender domains, calibrated for operator inbox patterns. Operator-to-operator language in every line, not vendor pitch. The signal that triggered the touch is the opener.",
feats:["75+ warm domains", "Auto-failover routing", "98.4% deliverability"],
stats:[ {v:"3,302", l:"sent / day"}, {v:"+72%", l:"reply rate"} ],
},
{
mark:"connect",
name:"AICRO Connect",
tag:"LINKEDIN AUTOMATION",
desc:"Multi-seat orchestration across 6 to 8 SDR profiles. Title-tier-aware: heads of acquisitions and site-selection MDs get the A track; associates get the C track. Proven 58 to 70% LinkedIn PRR across our active CRE book.",
feats:["Multi-seat orchestration", "Title-tier sequencing", "Operator vocabulary"],
stats:[ {v:"47%", l:"accept rate"}, {v:"54%", l:"positive rate"} ],
},
{
mark:"agent",
name:"AICRO Outreach Agent",
tag:"HYPER-PERSONALIZATION LAYER",
desc:"Reads each operator's role, recent activity, and the signal that triggered the touch (a new development pipeline, a fund close, a new-market office). Writes the relevance line. CRO-approved before send.",
feats:["Signal-grounded copy", "Per-operator hook", "Human-in-the-loop QA"],
stats:[ {v:"+37%", l:"acceptance"}, {v:"Live", l:"hot-reply triage"} ],
},
];
const markIcon = {
send: (
),
connect: (
),
agent: (
),
};
return (
{products.map((p,i) => (
{markIcon[p.mark]}
{p.name}
{p.tag}
{p.desc}
{p.feats.map((f,j) =>
{f}
)}
{p.stats.map((s,j) => (
{s.v}{s.l}
))}
))}
);
}
// ─── Phase 3 — Convert ─────────────
function SlackCard({ time = "10:00 AM", subtitle = "AICRO Agent", subtitleDot = "#3DDC97", showApprove = false, children }) {
return (
AICROAPP{time}
{subtitle}
{showApprove && (
✓ 1👀 2
)}
{children}
);
}
function ReplyAgentCard() {
return (
Approved successful
Source: 🔗 LinkedIn | Routed to: Baizel Rep 1
Name:Marcus ReevesJob Title:Head of AcquisitionsCompany:Mid-market multifamily developer · TX + AZ
Email:m.reeves@example-dev.comCampaign:LI | New development pipeline | Developers
Announced a 900-unit pipeline across 3 metros 9 days ago
Last Reply:We just committed to a 900-unit pipeline across three new metros and my team is two analysts deep. Every site takes us a week to get through zoning, entitlement risk, and a first-pass feasibility before we even know if it pencils. What does it actually look like to screen a parcel in your platform, start to finish?
Generated Response:Marcus, a real parcel from your target metros, zoning plus permits plus a first-pass feasibility in minutes instead of a week, is exactly the screen we’d walk on a call. Teams your size use Baizel to put every one of those 900 units through the same fast first look before an analyst spends a day on it. I have Tuesday 2:30 or Thursday 11 Central. Send me a parcel you’re weighing and we’ll run it live.
iMessageNot An ICP📁 Battlecard📋 CRM📥 Inbox🔗 LinkedIn
↳ 1 reply 2 days ago
);
}
function SalesActionCard() {
return (
Whitfield Retail Advisors | Dana Whitfield · Demo Held · Stage: Trial pending
Recommended for: Baizel Rep 2
Source: CRM · Run: AICRO Rounds · Mon Jun 22
Contact:Dana WhitfieldTitle:Managing Director · Site Selection
Email:d.whitfield@example-retail.comCompany:Retail tenant-rep advisory · national QSR clients
📊 Engagement
• Last meaningful activity: 14d ago
• Pattern: Saw demo, no trial activation
📞 TODAY · PHONE → Dana Whitfield (+1 ###-###-####)
Dana, Rounds flagged your account. You saw the Baizel demo on Jun 8 and haven’t spun up the trial yet. Give me 15 minutes to run a live site-selection screen on one of your QSR client’s target trade areas end to end. A multi-market rollout that takes your team two weeks to assemble, Baizel turns into a same-day, client-ready deliverable. Tuesday or Wednesday?
📞 If voicemail: Dana, following up on the Jun 8 demo. Texting you a 90-second clip of a live trade-area and zoning screen running start to finish.
Why now: Demo held 14 days ago, no trial activation, no follow-up logged. A tenant-rep advisory running national QSR rollouts means the value compounds across every client site search at once.
Signals observed:
Baizel demo held Jun 8, 14 days ago, no trial activation in CRM
National QSR tenant-rep clients, multi-market rollouts in progress
Hired a new tenant-rep lead last quarter, site-selection volume climbing
View Deal✓ Handled📊 Show 3 similar wins↻ Try another angle💡 Why this priority?Not relevant
Monday: signal review with Doug Sullinger. Friday: pipeline MBR. Quarterly: board-ready pipeline math.
Doug Shankman walks the room weekly. Every reply, every demo booked, every customer closed makes the next signal sharper.
Compounding loop
Each operator you close makes the next one easier to find.
Closed-won operators feed back into the seed list as lookalikes. Quarterly refresh tunes the signal pack against the operator profiles that actually convert.
);
}
// ─── System tabs — color-coded workflows ─────────────────────────────────
function SignalToScale() {
const phases = [
{
num:"PHASE 01", title:"Detect", head:"Detect the signal across six surfaces.",
body:"New development pipelines, land acquisitions and assemblages, new-market office openings, fund closes with capital to deploy, feasibility-software stack gaps, and the ICSC + NMHC + ULI + MBA CREF conference rosters. The signal map fires when a firm is feeling the exact pain Baizel solves: weeks lost to zoning, entitlement risk, and first-pass feasibility on every site they weigh.",
color:"#21A8F2", colorTint:"#E9F5FE",
icon: (
),
Render: PhaseDetect,
},
{
num:"PHASE 02", title:"Outreach", head:"Intelligent outreach.",
body:"Three products, one campaign. AICRO Send runs the email engine across 75 warmed inboxes. AICRO Connect runs LinkedIn in parallel. The Outreach Agent personalizes every message from the operator signal that triggered it, peer to peer, never a vendor pitch.",
color:"#9D4EDD", colorTint:"#F4ECFE",
icon: (
),
Render: PhaseOutreach,
},
{
num:"PHASE 03", title:"Convert", head:"Booked demos, handed to your reps.",
body:"The Reply Agent triages every reply and books the demo within minutes. AICRO Rounds grades stalled opportunities against your live CRM, recommends the next action, and routes it to the right Baizel rep in Slack. Demo-held-no-trial is a daily Rounds query. Your Baizel team handles the product walkthrough and live parcel run once it lands.",
color:"#0E9F66", colorTint:"#E5F9F0",
icon: (
),
Render: PhaseConvert,
},
{
num:"PHASE 04", title:"Compound", head:"Compound performance.",
body:"Every customer you close sharpens the seed list. Closed-won profiles feed back as lookalikes by buyer-type and market, so the signal gets more accurate every month. The next customers are easier to find than the first ones were. Monday’s signal review becomes the next board-ready pipeline math.",
color:"#FF8559", colorTint:"#FFEEE5",
icon: (
),
Render: PhaseCompound,
},
];
const [active, setActive] = useState(0);
const p = phases[active];
const Body = p.Render;
return (
06 / The engine in motion
Signal to scale, in four phases.
Click each phase to switch the live workflow below. Detect, Outreach, Convert, Compound, each a different color and a different surface.
);
}
// Consolidated: the live interactive portal + the four supporting screens
// in one continuous dark section. One narrative beat, not two.
function ClientPortalSection({ icp, setIcp }) {
const shots = [
{ src:"uploads/pasted-1777222339189-0.png", label:"Executive Summary", caption:"Monday view. Email plus LinkedIn side by side, weekly positive replies, every campaign with its full funnel." },
{ src:"uploads/pasted-1777222392601-0.png", label:"Campaign Drawer", caption:"Click any campaign to drill in. Connection request, accepted, replied, positive, demo, trial activated, end to end." },
{ src:"uploads/pasted-1777222050657-0.png", label:"Reply Agent in Slack", caption:"A developer's reply hits Slack within minutes, classified, response drafted, demo booked. A Baizel rep approves before send." },
{ src:"uploads/pasted-1777222220819-0.png", label:"Sales Action · AICRO Rounds",caption:"A retail tenant-rep advisory saw the demo 14 days ago, no trial. Rounds grades it Grade A, routes to the rep, writes the script." },
];
return (
07 / Your portal
The Client Portal you'd operate from.
One pane of glass every Monday. Live interactive view on top, the four screens you actually live in below.
);
}
// ─── CRO Stack ─────────────────
function CROStack() {
const modules = [
{ l:"Strategy", t:"ICP & Signal Map", d:"4 buyer pools (developers, site-selection brokers, AEC firms, investors) across US CRE. 6 signal layers that fire when a firm needs Baizel. Quarterly refresh tuned against the profiles that convert.", delivs:["4 buyer-type ICP cards","6-source signal architecture","Pool-concentration scorecard","Quarterly recalibration"] },
{ l:"Playbooks", t:"Productized SOPs", d:"Discovery scripts and demo flows for developers, site-selection brokers, AEC principals, and acquisitions heads. ROI framing: a week of first-pass feasibility down to minutes. Feasibility-and-decision positioning vs single-purpose GIS or zoning-data tools.", delivs:["Discovery script · per buyer-type","Demo flow + ROI walkthrough","Positioning battlecards","Onboarding checklist"] },
{ l:"Comp", t:"Rep Comp Structure", d:"New-logo accelerators tuned to Baizel’s per-seat SaaS model. Trial-to-paid SPIFF. Seat-expansion override for the sales bench you hire next.", delivs:["Ramp plan · 90/180/365","Trial activation SPIFF","New-logo + seat-expansion accelerator","Investor-defendable model"] },
{ l:"Onboarding", t:"Operator Cadence", d:"Monday signal review with Doug Sullinger and Don Powell. Wednesday reply triage. Friday MBR. Quarterly board-ready pipeline math run in your Slack.", delivs:["Monday signal review","Wednesday reply triage","Friday MBR","QBR + board pack"] },
];
return (
08 / The CRO stack
One operator-built system. Run by people who’ve sold this buyer.
You’ve built the product and the early users love it. What you need next is a proven motion to acquire net-new developers, site-selection brokers, AEC principals, and investors at volume. Strategy, playbooks, comp design, and onboarding, run as one system.
$10,000 / month. Three months. Demos in 30 to 45 days.
One number. One commitment window. Same outcome target as the US sales hire plus tooling build, at a fraction of the time and cost.
Build the demand engine yourself
2 SDRs + demand-gen lead + tools.
9 to 12 months to first repeatable pipeline.
2 SDRs + demand-gen lead (loaded)$280 to $360K
Founder oversight (Doug Sullinger + Don Powell)$120K opportunity cost
Tool stack (5 to 7 logos)$30 to $50K
Time to first repeatable pipeline9 to 12 months
Year 1 commitment$430 to $530K
9 to 12 months and a new layer of management before you know if the build works.
AICRO · 3-month POC
$10,000 / month. Full engine.
Doug as operator-CRO + delivery team + product platform. One bill.
Months 1, 2, 3 (POC)$10,000 / month
3-month total$30,000
First booked demosDay 30 to 45
Demos handed to your repsDay 45 onward
Cost vs. in-house Year 1~7% of build cost
Time to value is the unit economic that matters here. The 3-month POC delivers four graded buyer pools (developers, site-selection brokers, AEC firms, investors), a live signal layer, booked demos on your reps’ calendars, and a fully-instrumented funnel. The in-house build delivers a sales team that is still ramping.
);
}
// ─── Case studies — 5 ─────────────────
function CaseStudies() {
const cases = [
{
co: "Henry AI",
stage: "Closest analog to Baizel",
sector: "AI Platform · CRE Capital Markets",
quote: "An AI-native platform for CRE brokers, the closest read on Baizel in our book. AICRO runs their full outbound engine. In the first ten weeks, AICRO drove 15.9% of Henry's new pipeline ($519,600), booked 41 meetings, and pulled 118 positive replies from brokers at Marcus & Millichap, CBRE, Colliers, and Cushman & Wakefield. Same shape as Baizel: an AI-native CRE product AICRO is scaling right now.",
attr: "Henry AI · AICRO attribution, Mar to Jun 2026",
systems: ["Office-Level Attribution", "Operator-to-Broker Outbound", "Signal-Based Sequencing", "Reply Triage"],
metrics: [
{ v: "15.9%", l: "of Henry's pipeline · AICRO", live: true },
{ v: "41", l: "meetings booked" },
{ v: "118", l: "positive replies · 38%" },
],
},
{
co: "Capitalize",
stage: "CRE capital-markets · AI",
sector: "CRE Data & AI Platform",
quote: "AI-driven CRE capital-markets platform. AICRO built and runs the outbound engine. Conference-sourced CRE campaigns hit a 95% positive-reply rate, and the account has booked 346 meetings and driven roughly $1.1M in attributed pipeline.",
attr: "Capitalize · AICRO outbound engagement",
systems: ["Signal-First Outbound", "Conference-Attendee Targeting", "HubSpot GTM Build", "CRO-led Enablement"],
metrics: [
{ v: "346", l: "meetings booked", live: true },
{ v: "~$1.1M", l: "pipeline attributed" },
{ v: "95%", l: "CREFC conference PRR" },
],
},
{
co: "Gumption",
stage: "CRE debt marketplace",
sector: "CRE Debt Marketplace",
quote: "CRE debt marketplace. AICRO runs multi-channel outbound to developers, borrowers, and brokers. LinkedIn positive-reply rate holds at 70%, event-sourced campaigns hit 81%, and an attribution match tied roughly $65M in pipeline across 11 deals back to AICRO replies.",
attr: "Gumption · AICRO outbound engagement",
systems: ["Signal-Based Deal Flow", "AI Multi-Channel Outbound", "Founder-Story Copy", "CRO-Built Playbooks"],
metrics: [
{ v: "$65M", l: "pipeline · 11 deals", live: true },
{ v: "70%", l: "LinkedIn PRR" },
{ v: "81%", l: "ICSC event PRR" },
],
},
{
co: "Johnson Capital",
stage: "CRE capital advisory",
sector: "CRE Capital Advisory",
quote: "CRE capital advisory. AICRO runs signal-first, multi-channel outbound to CRE principals. LinkedIn positive-reply rate holds at 58%, and the NMHC conference campaign produced 62 positives at a 57% reply rate.",
attr: "Johnson Capital · AICRO outbound engagement",
systems: ["Signal-First Outbound", "Multi-Channel Sequencing", "Event-Attendee Targeting", "CRO-led Pipeline Math"],
metrics: [
{ v: "58%", l: "LinkedIn PRR", live: true },
{ v: "62", l: "positives · NMHC" },
{ v: "57%", l: "event PRR" },
],
},
{
co: "RemoteLock",
stage: "SaaS into RE operators",
sector: "PropTech · Smart-Access SaaS",
quote: "Smart-access SaaS selling into real estate operators, proof AICRO puts a SaaS product, not a service, in front of real estate buyers. LinkedIn positive-reply rate hit 47%, and named operators including Namdar Group's CEO and a Greystar managing director replied directly.",
attr: "RemoteLock · AICRO outbound engagement",
systems: ["Vertical LAL Targeting", "Product-Led Outbound", "Stack-Specific Segmentation", "Reply Triage + Routing"],
metrics: [
{ v: "47%", l: "LinkedIn PRR", live: true },
{ v: "Namdar", l: "CEO replied" },
{ v: "SaaS", l: "into RE operators" },
],
},
{
co: "Worth Clark",
stage: "RE brokerage at scale",
sector: "Real Estate Brokerage",
quote: "Real estate brokerage running high-volume outbound, proof the motion holds at scale in real estate. Roughly half of every positive responder schedules a call immediately, and the engine runs close to 43,000 sends a month without losing efficiency.",
attr: "Worth Clark · AICRO outbound engagement",
systems: ["Multi-Channel Outbound", "High-Volume Sequencing", "Reply Triage", "CRO-led Cadence"],
metrics: [
{ v: "~50%", l: "of positives → meeting", live: true },
{ v: "43K/mo", l: "sends at scale" },
{ v: "RE", l: "brokerage engine" },
],
},
];
return (
06 / Proof
We’ve taken AI and PropTech to market in real estate. Repeatedly.
Six engagements that say the same thing. We know this buyer, we know AI-native go-to-market, and we know how to put a CRE product in front of the developers, brokers, and investors who actually move. Henry AI is the closest read on Baizel: an AI-native CRE product AICRO already takes to market. Every number below is pulled from live client data.
Email and LinkedIn engines run in parallel under one operator. Every milestone is a shipped artifact, not a status update.
Workstream
Day 1Kickoff
Day 30First demos
Day 60Compounding
Day 90QBR
{workstreams.map((w, i) => (
{w.name}
{w.desc}
{w.bars.map((b, j) => (
{b.label}
))}
{w.delivs.map((d, j) => (
{d.label}
))}
))}
Live execution
Continuous CRO ownership
Build / deploy
);
}
// ─── CTA — custom demo via Calendly ─────────────
function CTA() {
return (
13 / Book the demo
Doug, the custom demo is built. Let’s walk it together.
We’ve already built the Baizel instance. The engine is live: four buyer pools graded (developers, site-selection brokers, AEC firms, investors), signals firing across the US, sample operator-to-operator sequences ready. We’d rather walk you through it for 30 minutes than send another email. Pick a slot below and we’ll run it live, take your questions, and you decide whether the next 90 days are with us.
Book the custom demo + Q&A →
30-minute live walkthrough on Calendly. No deck, no slides. The engine running in your tab against the four buyer pools. You see what we’d send to a developer, a site-selection broker, an AEC principal, and an investor on day one.
calendly.com/doug-aicro/custom-demo-qa
);
}
function Footer() {
return (
);
}
// ─── Section: Prospect Universe ─────────────────────────────────────
function ProspectUniverse() {
const verticals = [
{ v:"Developers", stat:"60K+", statLbl:"US housing + CRE developers", frag:"Roughly 60,000 US housing developers plus the broader commercial-development set. Mid-market firms with active pipelines feel the feasibility bottleneck first, a week per site on zoning and entitlement risk before anything pencils.", buyer:"Head of Acquisitions / Development Manager" },
{ v:"Site-Selection Brokers", stat:"9,500+", statLbl:"CCIM designees + tenant-rep brokers", frag:"Retail tenant-rep and site-selection brokers, proxied by 9,500 CCIM and 3,200 SIOR designees plus the broader commercial brokerage base. National-rollout clients expect fast, data-backed site recommendations on demand.", buyer:"MD Tenant Representation" },
{ v:"Architects / AEC", stat:"19K+", statLbl:"US architecture firms", frag:"More than 19,000 US architecture firms, overwhelmingly small businesses. Winning proposals depends on early feasibility and massing, work most firms do unpaid before a contract is signed.", buyer:"Principal / BD Director" },
{ v:"Investors", stat:"PERE-100+", statLbl:"funds + acquisition-active sponsors", frag:"The PERE-100 institutional set at the top and a long mid-market tail of value-add and development sponsors. Every fund close starts a deployment clock against a lean acquisitions team.", buyer:"Head of Acquisitions / VP Investments" },
];
return (
04 / Your market
We mapped the market you sell into.
Before a single email goes out, here is the buyer universe Baizel can win across US commercial real estate. It is large and it is fragmented, which is exactly why an outbound engine compounds rather than saturates.
{verticals.map((d,i) => (
{d.v}
{d.stat}{d.statLbl}
{d.frag}
BUYER · {d.buyer}
))}
The opportunity
Tens of thousands of US developers, site-selection brokers, AEC principals, and acquisitions leads, leaner than their deal flow, still assembling zoning and feasibility by hand in spreadsheets. They will not all find Baizel on their own. That gap is the list we build, prioritize, and work every week.
);
}
// ─── Section: A-Tier Targets · Why Now ─────────────────────────────────────
function ATierTargets() {
const targets = [
{
co:"GBT Realty",
vert:"Developers",
size:"Nashville TN · $3B+ AUM target",
why:"Announced a $1.3B, 18-month retail development and acquisition program with AEW as capital partner (ICSC 2026).",
how:"Screen and rank build-to-suit and shopping-center parcels across markets before committing capital.",
next:"$1.3B to deploy in 18 months. One analyst can only underwrite so many sites; Baizel triples the parcels screened per week.",
},
{
co:"GID Residential",
vert:"Developers",
size:"National · $32B+ AUM multifamily",
why:"Announced a Georgia market expansion in April 2026, hiring a Senior Managing Director to grow its development platform.",
how:"Fast parcel-level feasibility and zoning in a new state where the team is still building local coverage.",
next:"New market, new team, no local rolodex. Baizel gives the new SMD instant parcel intelligence from day one.",
},
{
co:"NewQuest",
vert:"Site-Selection Brokers",
size:"Houston TX · retail tenant representation",
why:"Hired a new EVP and Managing Director of Tenant Representation from JLL in June 2026 to lead its Texas platform.",
how:"Rapid site-fit, trade-area, and zoning screens for national retail and QSR clients doing multi-market rollouts.",
next:"A new tenant-rep lead means new client pitches. Baizel turns a site-selection RFP into a same-day deliverable.",
},
{
co:"Arrowstreet",
vert:"Architects / AEC",
size:"Boston MA · mixed-use + life science",
why:"Ranked #1 on Commercial Property Executive's 2026 Top Architects list, weighted on revenue momentum and proposal win rate.",
how:"Massing studies and early-stage feasibility to win more proposals and de-risk client sites before design.",
next:"Proposal win-rate put them at #1. Baizel lets them walk into the pitch with feasibility and massing already done.",
},
{
co:"Concorde",
vert:"Investors",
size:"Sunbelt · ~$300M grocery-anchored fund",
why:"Launched the Concorde Essential Properties Fund targeting ~$300M to acquire grocery-anchored centers across 10 Sunbelt states (ICSC 2026).",
how:"Screen acquisition targets on trade-area, demographics, and zoning across a 10-state buy-box.",
next:"$300M to deploy across 10 states. Baizel is how a lean acquisitions team covers that ground without missing the mispriced center.",
},
{
co:"Kayne Anderson Real Estate",
vert:"Investors",
size:"National · $5B+ opportunistic fund",
why:"Closed its seventh opportunistic equity fund at $5.12B in May 2026, oversubscribed against a $3B target.",
how:"Rapid parcel and feasibility screening to source and validate development-and-acquisition plays for a $5B fund.",
next:"$5.12B closed and a clock now running. Baizel compresses the first-pass underwriting so the team screens more, faster.",
},
];
return (
04 / Your first targets · why now
Not a category. A list. Here is who we’d open with.
A few examples, not the full list. Each firm carries a dated public signal, a specific way Baizel lands, and the wedge that makes it scalable. The complete A-list is scored and refreshed weekly once we are live.
{targets.map((t,i) => (
{t.vert}
{t.co}
{t.size}
Why now
{t.why}
How they use it
{t.how}
The wedge
{t.next}
))}
Real firms. Illustrative angles. In week one we turn this into a scored, deduped A-list across all four segments with verified dated public signals (new development pipelines, land acquisitions, new-market office openings, fund closes, preconstruction hires), refreshed as new signals fire.
);
}
// ─── Section: ICP Launch Map ──────────────────────────────
// Concentrated launch map: four buyer tiers, named firms, decision-maker
// title per tier, and the wedge to open with.
function ICPLaunchMap() {
const tiers = [
{
tier:"T1",
label:"Developers",
color:"#21A8F2", tint:"#E9F5FE",
universe:"~60,000 US developers",
buyer:"Head of Acquisitions / Dev Manager",
wedge:"A newly announced pipeline or land acquisition plus a lean acquisitions team. More sites to screen than analysts to screen them.",
firms:[
{ n:"GBT Realty", loc:"Nashville, TN · retail BTS", tag:"already on A-list" },
{ n:"GID Residential", loc:"National · $32B+ multifamily", tag:"already on A-list" },
{ n:"Wood Partners", loc:"Atlanta, GA · multifamily" },
{ n:"Mill Creek Residential", loc:"Boca Raton, FL · multifamily" },
{ n:"Crescent Communities", loc:"Charlotte, NC · mixed-use" },
{ n:"Hines", loc:"Houston, TX · diversified" },
],
},
{
tier:"T2",
label:"Site-Selection Brokers",
color:"#9D4EDD", tint:"#F4ECFE",
universe:"~9,500 CCIM + tenant-rep brokers",
buyer:"MD Tenant Representation",
wedge:"A new tenant-rep lead hire plus an active multi-market client rollout. A same-day site deliverable wins the pitch.",
firms:[
{ n:"NewQuest", loc:"Houston, TX · retail tenant rep", tag:"already on A-list" },
{ n:"SRS Real Estate Partners", loc:"Dallas, TX · retail" },
{ n:"Matthews Real Estate Investment", loc:"Nashville, TN · investment sales" },
{ n:"Hanley Investment Group", loc:"Corona del Mar, CA · retail" },
{ n:"Northmarq", loc:"Minneapolis, MN · capital + investment" },
{ n:"Colliers", loc:"National · retail advisory" },
],
},
{
tier:"T3",
label:"Architects / AEC",
color:"#0E9F66", tint:"#E5F9F0",
universe:"~19,000 US architecture firms",
buyer:"Principal / BD Director",
wedge:"A proposal-heavy pipeline plus recent preconstruction hires. Feasibility and massing done before the pitch, not after.",
firms:[
{ n:"Arrowstreet", loc:"Boston, MA · mixed-use", tag:"already on A-list" },
{ n:"Gensler", loc:"San Francisco, CA · global" },
{ n:"HKS", loc:"Dallas, TX · mixed-use + sport" },
{ n:"Perkins&Will", loc:"Chicago, IL · multi-sector" },
{ n:"Cooper Carry", loc:"Atlanta, GA · mixed-use" },
{ n:"Niles Bolton Associates", loc:"Atlanta, GA · multifamily" },
],
},
{
tier:"T4",
label:"Investors",
color:"#FF8559", tint:"#FFEEE5",
universe:"PERE-100 + mid-market sponsors",
buyer:"Head of Acquisitions / VP Investments",
wedge:"A fund close and a deployment clock now running. Cover a multi-state buy-box without missing the mispriced deal.",
firms:[
{ n:"Concorde", loc:"Sunbelt · grocery-anchored fund", tag:"already on A-list" },
{ n:"Kayne Anderson Real Estate", loc:"National · $5B+ opportunistic", tag:"already on A-list" },
{ n:"Harbor Group International", loc:"Norfolk, VA · multifamily" },
{ n:"Cortland", loc:"Atlanta, GA · multifamily" },
{ n:"TruAmerica Multifamily", loc:"Los Angeles, CA · value-add" },
{ n:"Waterton", loc:"Chicago, IL · multifamily" },
],
},
];
return (
05 / Your market, named and tiered
The right ICP to start with, named and tiered.
A concentrated map for the launch. Four tiers, decision-maker title per tier, the wedge to open with, and named firms we’d work in week one. Total reachable universe across the four tiers: ~90,000 US CRE firms. Live signals refresh the list weekly once we are live.
{tiers.map((t,i) => (
{t.tier}{t.label}
{t.universe}
BUYER · {t.buyer}
The wedge
{t.wedge}
Named first-touch
{t.firms.map((f,j) => (
{f.n}
{f.tag && ★ A}
{f.loc}
))}
))}
What we’d ship in week one
Each named firm above gets enriched with role, recent signal, and direct-line contact (head of acquisitions name, tenant-rep MD name, principal name). Pattern-matched email plus LinkedIn approach paths. Tier 1 + Tier 2 get the first 60 days of send capacity (~75 inboxes split 60/40), Tier 3 + Tier 4 come online in week three.
Parallel vector
Doug Shankman's CRE lineage: warm relationships across CRE marketplaces and data providers open platform-level conversations, not just seat-by-seat.
);
}
// ─── Mutual Action Plan — demo to live ─────────────────────────
// The 2026 digital-sales-room pattern: a shared plan with owners, targets,
// and status. Dates are relative pre-call and firm up after the demo, when
// this page is re-edited and redeployed (the living-document loop).
function MutualActionPlan() {
const ownerStyle = {
AICRO: { bg:"#E9F5FE", fg:"#0E7DBC", label:"AICRO" },
Baizel: { bg:"#EEF1F5", fg:"#475569", label:"Baizel" },
Joint: { bg:"#E5F9F0", fg:"#0E9F66", label:"Joint" },
};
const phases = [
{
tag:"EVALUATE", note:"this week",
rows:[
{ step:"Custom demo + live parcel walkthrough", owner:"Joint", when:"This call", done:true },
{ step:"Portal + four-segment walkthrough", owner:"AICRO", when:"Demo", done:false },
{ step:"ICP + first-target sign-off", owner:"Baizel", when:"Demo + 3 days", done:false },
],
},
{
tag:"START", note:"weeks 1-2",
rows:[
{ step:"Agreement signed, POC kickoff", owner:"Joint", when:"Week 1", done:false },
{ step:"Shared Slack channel + CRM access", owner:"Joint", when:"Week 1", done:false },
{ step:"Domains + inboxes provisioned, warm-up begins",owner:"AICRO", when:"Week 1-2", done:false },
{ step:"ICP grading calibrated on live data", owner:"AICRO", when:"Week 2", done:false },
],
},
{
tag:"PROVE", note:"day 30 / 60 / 90",
rows:[
{ step:"First booked demos on your reps' calendars", owner:"AICRO", when:"Day 30-45", done:false },
{ step:"Lookalike loop live, second-wave targets scored", owner:"AICRO", when:"Day 60", done:false },
{ step:"QBR + board-ready pipeline math", owner:"Joint", when:"Day 90", done:false },
],
},
];
const OwnerChip = ({ owner }) => {
const o = ownerStyle[owner];
return (
{o.label}
);
};
return (
11 / From demo to live
The mutual action plan, from this demo to live pipeline.
Every step from today to a running engine, with an owner and a target on each one. Dates are relative to the demo and firm up the moment we start. This page updates after each call, so the plan you see is always the current one.
{phases.map((p,i) => (
{p.tag}{p.note}
{p.rows.map((r,j) => (
{r.done ? "✓" : ""}{r.step}
{r.when}{r.done ? "Done" : "Pending"}
))}
))}
One page, one plan, both sides. You always know the next step, who owns it, and when it lands. Nothing lives in a thread nobody can find.
