Fractional CTO and AI engineer for private equity funds and their portfolio companies.
A 21-person pharma IT team went from idea to working apps in one afternoon. ContactMonkey's first generative AI feature went from zero to production in 10 weeks.
That is the job: get one AI tool into daily use, fast, and prove what it changed. I work with operating partners and portfolio CEOs whose AI pilots never reached the business.
In 1990, an insurer took 22 days to process an application that needed 17 minutes of work. The rest was queues and handoffs. A faster model only speeds up the 17 minutes.
So I start with the waiting. I map one workflow, delete the waste, build what is left and measure it. Your board gets the before and after.
| Client | What we built | Result |
|---|---|---|
| Public pharma company, IT team of 21 | Hands-on AI workshop | Working apps in one afternoon |
| ContactMonkey, $55M Series A SaaS | First generative AI feature | Live in 10 weeks, 35% lower projected AI cost |
| Rose Rocket, Y Combinator logistics SaaS | Operations workflow automation | 10 hours a week back for the ops team |
| Private equity firm | Claude workspace with the firm's brand and document standards | On-brand, investor-ready documents from a prompt, signed off in under two weeks |
"He gets results stunningly quickly." Bret Dawson, Engineering Lead, Rose Rocket
This is the standard first engagement: one workflow, with one owner on your side. You get five things.
- The workflow, mapped from your logs. Hours of work and days of waiting on every step.
- The tool in production. It runs inside the systems your team already uses. No new screen, no migration.
- A one-page board readout. Before and after numbers that your board and a future buyer can check.
- A runbook and a handover. Your team runs and changes the tool without me.
- Your next five workflows, ranked. Each one shows what it costs you to leave it as it is.
| For the fund | Time |
|---|---|
| Portfolio AI review | 2 weeks |
| AI due diligence | 2 to 3 weeks |
| Hands-on workshop | 1 day |
| AI workspace for the firm | 2 to 4 weeks |
| For a portfolio company | Time |
|---|---|
| First tool live | 4 weeks |
| Agentic workflows | After the first tool |
| Fractional CTO | Ongoing |
| Custom software and SaaS | Scoped per project |
Prices come after a call, once I know your setup. You can stop after any step. See the details on serhii.pro.
I write plain code first and use agents only where judgment pays. Every step that moves money or reaches a customer waits for a person. Each tool is tested on cases with known answers, then measured again at 30 days.
I started in tax compliance at PwC in 2017. Partners there asked one question about every file: how do you know this is right?
Then I taught myself to code and spent almost six years at Rose Rocket, a Y Combinator company. Now I build AI tools for PE funds and their portfolio companies. Every tool still has to answer the PwC question. I am a member of the Claude Partner Network.
We work out what the waiting costs you. You leave with a yes or no on fit. If it is a yes, a written proposal follows.