Startup growth without the burn. AI-led, founder-aligned, board-ready.
Startup growth has changed. CAC is up. AI lets a small team do what used to need a 30-person growth org — if the architecture is right. I work with founders from post-PMF through Series C on the growth-system architecture that compounds: positioning, channel mix, AI leverage, measurement, and the team-and-agency layer underneath.
What’s broken in most AI startup growth consulting setups.
Most of these gaps don’t look like problems on a dashboard. They look like “normal” until someone with distance asks the right question. The four below are the most common — and the most expensive.
Growth lead, growth team, growth agency — flat metrics
You have all three. Spend is up. Pipeline is flat. Investors are asking the next-round question. Nobody on the inside has the distance to say what’s actually wrong.
Channel mix calcified
What worked at $10K MRR is what’s still running at $500K MRR — without anyone asking whether it should be. The mix that got you to PMF is rarely the mix that gets you to scale.
AI deployed where it generates slides, not where it compounds
ChatGPT for content. Jasper for emails. Loom AI for meeting summaries. None of it on the growth bottleneck — because nobody’s mapping AI to outcomes.
Board asks for a clear story, growth answers with metrics soup
Acquisition + activation + retention + monetisation + viral, all reported as separate dashboards. The board can’t read it. The founder can’t defend it. The narrative is missing.
Tell me about your business. I’ll come back within 24 hours (weekdays) to book the call.
No sales theatre. The first call is genuinely useful — you leave with a clear written follow-up, whether or not we end up working together.
Six deliverables. All scoped, all written, all tied to outcomes.
Every engagement starts with a scope document the founder and I both sign off on. No moving goalposts. No “extra scope” conversations halfway through. Below is what’s included in a typical engagement — adjusted per business.
Growth-system architecture
End-to-end map: positioning → channel → funnel → activation → retention → monetisation. Where it’s working, where it’s leaking, where AI compounds.
Channel-mix strategy
Where to double down, where to kill, where to test. Built against your stage, capital efficiency target, and competitive context.
AI deployment plan
Which growth functions AI replaces, which it augments, which it shouldn’t touch. Tooling decisions made on outcomes, not hype.
Measurement spine
sGTM, CAPI, attribution, cohorted retention, contribution-margin reporting. The numbers your CFO can defend in a board meeting.
Team + agency architecture
Org design — who’s in-house, who’s agency, who’s specialist contractor. Build vs buy framing for every growth function.
Board-ready narrative
Quarterly board narrative built from the growth-system map. The story that connects acquisition decisions to revenue outcomes — clearly.
Three phases. No mystery, no theatre.
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01
Diagnosis
Two-week deep audit — funnel, measurement, channels, team, agency, AI deployment. Written report with the binding growth constraint named.
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02
Architecture
30–60 day re-architecture sprint: positioning refresh, channel rebalance, AI tooling decisions, measurement repair, team-and-agency redesign.
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03
Operate
Ongoing advisory cadence — bi-weekly working session, monthly board prep, quarterly portfolio review. Outside operator, inside the team.
Numbers from real engagements. All clients anonymised.
Named references available under NDA after a first call. See all 16 engagements on the case studies index →
After positioning + GTM audit on an international fragrance house, GCC + India + Pakistan.
After channel-mix rebalance + measurement repair on a B2B SaaS, Series A → B.
After AI-led lead-gen system replaced manual outbound on a specialty exporter.
Time from engagement start to Series B raise on a B2B SaaS — at improved unit economics.
What founders ask before getting in touch.
What stage is this for?
Post-PMF through Series C, typically. Pre-PMF startups need product work, not growth-system architecture. Late-stage (Series D+) is usually better served by in-house executive hires than an outside consultant.
Are you a fractional CMO?
Closer than a consultant, but not a fractional CMO. I won’t sit on your exec team or own headcount. I architect the system, set the standard, and review what your team and agency deliver. The day-to-day stays with your operators.
Do you work with VCs and boards?
Yes. Several engagements run as a request from a board or lead investor wanting an independent diagnostic on a portfolio company. Quarterly board narratives are part of the deliverable when relevant.
What’s the engagement size?
Diagnostic-only engagements run 2–4 weeks. Architecture sprints run 30–90 days. Ongoing advisory typically runs 6–12 months at a fixed monthly retainer. Scoped, written, and tied to outcomes.
Do you work across SaaS, D2C, marketplaces?
Yes — the growth-system architecture transfers; the channel and metric specifics shift. SaaS-heavy and D2C-heavy engagements are most common; B2B services and marketplaces are supported.
Stop wasting spend on AI startup growth consulting that nobody is independently QA’ing.
The audit is free. The conversation is direct. If we’re a fit, the engagement is scoped, written, and tied to the outcomes you actually need.