01 · Technical advisory

Technical advisory · for founders who built it with AI

Build fast. Scale aggressively. Grow confidently.

You built it yourself, quicker than a dev team would have. Now it needs to hold up: with customers, at scale, and under pressure. We review & workshop the AI-generated code, design, and architecture to get it there, alongside hands-on fixes where needed. Your AI-first model stays, to keep delivering real value, fast.

How advisory works
review · pass 3flags 5 · critical 1fig. 02caught before staging

From MVPs to a product you can scale and sell.

Design workshops to settle the shape before more code lands. Code review that catches what the AI introduced and explains why, so the same thing stops coming back. Hands-on fixes when that is quicker than describing them. And the foundations a product needs before anyone can rely on it: development, staging and production environments with automated tests and releases, so shipping several times a day is routine.

What it includes

  • AI-code review
  • Design workshops
  • Hands-on fixes
  • Development, staging and production, automated
  • AI features built with Claude and Gemini
  • Security and scale, before due diligence
  • In the room with your investors
  • Coaching on building with AI

Recent catch: a payments endpoint that let one tenant read another's data, and a chat interface that could be talked into ignoring its own instructions. Both found in review, both fixed before staging.

Real numbers from one engagement

55sto2s
a background job, in the second week
1,051to2
database calls per cycle, same week
200+
high-severity issues caught before staging, one five-week period
Daily
releases made routine, from one hand-run environment to three automated ones

Advisory is partner-led: every engagement is run by our founder, Alexander Hanbury-Botherway, after a decade handling sensitive data and controls inside regulated financial services at Goldman Sachs. Read the case study