Grigoriy Dobryakov

Write to me

For founders and CEOs without a strong engineering leader

Your delivery is slipping — deadlines slide, budget leaks — and you have no one who can tell you why.

You don't need to become technical. You need an adult in the room who takes your engineering under control, turns the chaos into predictable delivery, and explains what's happening in the language of money, timelines and risk — not frameworks.

This is for you if

  • You run a company where software delivery is critical, but you can't personally judge what's happening inside engineering.
  • Deadlines keep slipping, costs keep climbing, and every answer you get is "it's complicated."
  • You have no strong engineering leader in place — and hiring a permanent CTO blind, for six months, feels like a bet you can't price.
  • Everyone's talking about AI and you don't know where it actually helps you versus where it's just noise and cost.

Not for you if

  • You already have a strong CTO who owns this. Then you don't need me — you need to back them.

How it works

A low-risk entry, not a retainer on faith. You buy a fixed, time-boxed diagnostic with a concrete deliverable. Execution is your choice — after you've seen the plan.

Step 1 · Diagnose

A 3-week delivery audit

Fixed price. I go into your engineering and delivery: where the process breaks, why timelines slip, where money and margin leak, and where AI would actually move the needle for you.

Step 2 · Plan

A 90–180-day roadmap you can read

A written plan with priorities and success metrics, in plain business terms. It's yours whether or not we work together further.

Step 3 · Execute

Optional interim leadership

If you decide to act, I stay on as your interim engineering / AI leader and run the plan myself — until delivery is predictable and your team can hold it without me.

What the audit leaves you with

Three artifacts, in the language of outcomes — not a slide of jargon.

Delivery as it really is

An honest map of where your engineering and delivery stand: what's breaking, what's slow, what's at risk.

Where AI gives you leverage

Specifically in the management layer: where it cuts cost and risk for you, and where it's just hype you can safely ignore.

A 90–180-day plan

Prioritized, with metrics — so you know what changes, in what order, and how you'll know it worked.

Why you can trust me with this

25 years and four turnarounds — each one taking a broken or chaotic engineering function and making it predictable. Not sandbox demos: real production outcomes, in money and time.

UMI.CMS

Rebuilt the engineering function and owned the product: revenue +50% YoY, defects from 5–10/day to under 5/week, releases from months to weekly.

A 1,500-person system integrator

Took a failing engineering department on a mandate: owned the P&L (utilization, margins, subcontractors), made the hard people calls, made it predictable.

Askona · $680M+ revenue, 9,000+ employees

Ran engineering at enterprise scale across 40+ services and 20+ teams by architectural authority.

PersonaClick

Machine learning and predictive analytics in production across 199M+ profiles.

I also build and run AI systems myself — you can see one at ai-delivery.dobryakov.net. That's a demonstration of how I think about the management layer, not the product I'm selling you. What I'm selling you is control over your delivery.

Audit → interim

The audit fee is credited toward your first month of interim work if you decide to continue. The point of the entry is to get you a real answer at low risk — not to make money on a diagnosis.

Get your delivery back under control.

Start with an email — we'll talk from there. If it's a fit, we start with the audit — fixed scope, fixed price, a plan you own at the end.

Fully remote · EU-hours (CET/CEST) · via EOR or contractor.

Still thinking it over? Here's a pile of links about me — look around first, write when you're ready.