LOG 01 · OPTIWISER
A product they were buying, rebuilt better in 10 hours.
Client · Optiwiser A.I. Solutions · ML and forecasting · 5 engineers
Engagement · Advisor and hands-on build · March 2026
With AI, the things you used to buy become things you can build, fast and often better.

Ediz Erkmen · Optiwiser A.I. Solutions
The brief
Optiwiser depended on a third-party SaaS data product and was dabbling with off-the-shelf AI coding tools. The product was a black box they couldn’t shape to their clients, and the team had no real AI workflow of its own. For a shop serving a quality-hungry client base that meant one thing: falling behind on a capability they could own.
The build
We didn’t pitch. We built. In about 10 hours we rebuilt the paid SaaS product in-house on Claude, with proper evals, tests, MCP connections and reusable skills. It shipped to their clients roughly a week later. Then we paired with the team, committed the reusable skills to their repo and handed it over so they could run it themselves.
To rebuild the product they were paying for, evals and tests included.
Faster software development across the team, our estimate after adoption.
Annual vendor subscription no longer needed.
The result
- Higher quality than the product it replaced, live in production within a week.
- The whole five-engineer team adopted Claude as their default workflow.
- Self-sufficient in weeks, not months: from dabbling to independent operators.
- The skills and the system live in their repo, owned outright.
Debrief
The fastest way to convince a sceptical founder isn’t a deck. It’s replacing a tool they already pay for: visible, falsifiable, immediate return.
With AI, build-versus-buy flips. Things that were obviously purchases become obviously builds, and a capable team can own them outright.
Want a result like this on your books?
The free assessment is how this engagement would start today: five minutes of questions and an instant pre-flight score, then a call with a founder.
Next: LOG 02 · From invisible shadow AI to a governed, measurable AI organisation.