Built a GTM system that helped an agentic AI startup land 9 mid-market clients and $220K in ARR in 10 weeks — before public launch


Client overview

  • Type of AI company: Agentic AI — autonomous task agents for internal ops across sales, CX, and recruiting
  • Stage: Solo founder, pre-launch, post-prototype
  • Buyers: Heads of operations, growth leaders, tech-savvy COOs at mid-market SaaS and tech-enabled services firms
  • Revenue motion: Founder-led hybrid — low-touch entry, high-touch expansion

Role & duration

Role: Zero-to-one GTM Architect
Duration: 10 weeks (pre-launch to repeatable revenue motion)


The challenge

The founder had shipped a working agentic system that automated back-office workflows — and the early demos blew people away.

But no one was paying.

Why?

  • The pitch focused on “autonomy” when buyers wanted “outcomes”
  • The demo solved too much at once — it overwhelmed instead of converted
  • Every prospect left the call thinking “cool,” not “where do I sign?”
  • No clear ICP: inbound was a mix of sales, HR, and IT folks with wildly different expectations
  • And the product had no public site, no pricing page, no structured path from interest → sale

The founder didn’t need “growth.” He needed go-to-market clarity — and a revenue system that didn’t collapse under technical complexity.


Strategic & operational approach

1. Nailed the real buyer
We mapped traction across early calls and realized the buyer wasn’t the person in love with AI — it was the one measured by cycle time: ops leaders.

So we repositioned the product as:

“Autonomous back-office agents for operations leaders who want work done without manual follow-up.”

2. Rebuilt the offer into a precision wedge

  • Created 3 distinct agent templates: sales prospecting assistant, candidate screening agent, customer renewal monitor
  • Each with its own onboarding path, ROI anchor, and workflow integration
  • Launched “no-code + no-risk” pilot model — 7-day usage-based ramp before monthly commitment
  • No dashboards, no complexity — agent outputs sent straight into Slack or email

3. Designed demo flows that sold trust, not tech

  • Killed the product tour. Built role-specific demo scripts with job-to-be-done anchors
  • Built objection-killer assets: AI reliability FAQ, permission model explainers, buyer testimonials focused on internal lift, not novelty
  • Shifted demo close from “What did you think?” to “Which team do you want to start with?”

4. Built a scalable acquisition layer with no fluff

  • ICP-specific landing pages with use-case video explainers, not vague AI hype
  • Cold outbound with live agent outputs, not PDF decks
  • Built a waitlist page that drove urgency by surfacing company logos of active pilots (with permission)
  • Enabled founder to use recorded demo snippets as asynchronous sales tools

5. Installed lean GTM ops and tracked revenue triggers

  • Airtable pipeline with custom “activation milestones” (agent usage, pilot outputs delivered, decision-maker looped in)
  • Built a pilot-to-paid conversion dashboard with weekly close-rate projections and churn risk indicators

Every GTM motion was tuned for speed to signal, not overbuilt scale.


Results & business impact

  • Closed $220K in ARR across 9 mid-market clients in 10 weeks
  • Zero churn during pilot-to-paid transition
  • Cut founder’s average sales cycle from 21 to 9 days
  • Built 3 vertical expansion paths (sales ops, recruiting, CX) based on live usage data
  • Created a fully modular sales toolkit that new reps can onboard with in <1 week

No SDRs. No launch. Just precise architecture and revenue motion that worked before the product even hit public.


Why working with me was the advantage

  • Most AI startups waste months trying to “scale” before they’ve nailed the sequence
  • I build GTM systems that match your product’s real readiness, not your investor pitch
  • Where others chase traffic and followers, I chase revenue confidence — the kind that turns demos into deals without bloated teams or duct-taped tactics

You don’t need a funnel. You need a system that earns trust, creates urgency, and moves money.


If you’re an AI founder building deep tech with zero time for surface-level growth advice — I’ll architect the system that turns conviction into revenue.

And I don’t stop until it performs.