Founder-led businesses
Roughly 10–100 people, product-market fit found, growing steadily — and the founder still sits in the middle of nearly every decision.
They need more output per person — not another AI pilot.
Xavier GohAI & product strategy · Founder-led businesses
You wantMore time to focus on growth.Let’s find what’s slowing you down.
Your business doesn’t need more AI — it needs a clearer view of what’s costly. I help founder-led businesses and product teams find what’s costing the most, then decide whether AI, automation, or a better process is the right move.
01Proof
What changed
Real results from real engagements — hours saved, rates improved, spend avoided.
02The businesses I help
Who this is for
Two situations. Same failure mode: effort without a clear sense of what’s stuck.
Product & technology teams
Growth-stage startups and scale-ups who have already explored AI, but haven't yet turned that ambition into shipped, measurable outcomes.
They need a kill list and a ship list — not more experiments.
03The problems I repeatedly see
Lines I hear every month
Different industries. Same thing slowing growth.
Overheard / Operational friction
“We're spending too much time on repetitive work.”
None of these are AI problems. They’re symptoms of growth arriving faster than the systems needed to carry it.
04Ways to work together
How we can work
Start with a call. The shape of the work follows from what’s stuck.
01
Opportunity Assessment
Map what's stuck and the 2–3 moves worth making first.
02
AI Initiative Diagnostic
Diagnose a stalled AI initiative and decide: fix, cut, or restart.
03
Transformation Partner
Stay through delivery — I build what's needed, or bring in specialists when depth matters.
04
Fractional Product & AI Advisor
Part-time product & AI leadership: priorities, scope, and momentum.
05My approach
How we’d work together
No packages or tiers. Most work begins the same way and adapts from there.
- 01
A conversation
Forty-five minutes on how the business runs today and what feels heaviest. No deck, no pitch. You'll leave with at least one useful observation either way.
- 02
A diagnostic
A short diagnostic: how work moves, where time dies, which problems matter most.
- 03
A prioritised plan
A small number of opportunities, ordered by impact and effort, each tied to a measurable outcome. Including the things worth deliberately not doing.
- 04
Support through delivery
Where it helps, I stay involved while the first changes ship — keeping scope honest and outcomes visible.
06The mistake
Most businesses don’t have an AI problem.They have a problem they haven’t named yet.
AI, automation, or a cleaner process — pick after you know what’s costly. Not before.
Wrong move → better move
Technology helps when it removes a problem you’ve already named. Applied before that, it just adds another system to maintain.
Common approach
What works instead
Buy an AI tool and hope adoption follows
Find the one workflow costing the most hours, and change that first
An AI strategy deck nobody can act on
A short, ordered list of what to build, what to stop and what to leave alone
Features shipped because they're possible
Work chosen because it moves a number the leadership team already cares about
Automating a broken process faster
Fixing the process, then deciding whether automation is still needed
Xavier Goh
07Meet Xavier
My advantage isn’t that I know AI. Everyone says that now.
I spent years shipping product under ambiguity — tradeoffs, teams, and numbers that had to move. AI is new. That judgment isn’t.
I make the real problem visible — then we decide what technology is for.
08An invitation
If any of this sounds familiar, let’s talk.
Forty-five minutes. No deck. You’ll leave with a clearer next step — whether we work together or not.