Make your team AI-native.
An AI strategy for your company — and a structured process that turns it into how your team actually works. Led by a delivery executive running AI-native delivery for 50+ engineers today.
What an engagement delivers
Your team is dabbling with AI. Nobody owns the system.
A few people use ChatGPT. Someone tried Copilot. There is no shared strategy, no agreed direction, and no process that makes AI part of how the team actually ships. So the gains stay individual and invisible — and every quarter, teams that did build a system pull further ahead. The gap is not curiosity about the tools. It is having someone who runs AI-native delivery install it across your team.
From scattered experiments to an AI-native organization.
Build an AI strategy
We map where AI gives your company real leverage — by role, team, and workflow — and turn it into a concrete strategy your leadership can stand behind.
Validate the direction
We pressure-test that strategy against how your team actually works, so you commit to a direction that holds up — not a deck that gathers dust.
Make your SDLC agentic
The flagship work — for teams that ship software. We rewire your delivery lifecycle so AI agents carry the load across the whole cycle: discovery, architecture, code, review, documentation, delivery. Not a tool bolted on the side — AI woven into how the work actually moves. This is the part almost no one can install yet; it is exactly how I run delivery today.
Build personal AI roadmaps
Every person gets an AI roadmap tuned to their role, so the capability lives in your people and your company — long after the engagement ends.
A clear path, run with your team.
- 01
Discovery
We sit down with your leadership and team to understand how you ship today and where AI moves the needle most.
- 02
Strategy
We build and validate an AI strategy for the company — the direction, the priorities, and what good looks like.
- 03
Rollout
We install the agentic SDLC and AI-leverage habits into your team’s real work — one visible win at a time, until it is simply how you ship.
- 04
Per-employee roadmaps
Everyone leaves with a personal AI roadmap, so the capability compounds across the whole company.
Tymur Levkivskyi
Engineering & Delivery Executive · 15+ years
- Head of Digital Commerce at DataArt — leading 50+ engineers across 20+ teams
- Runs AI-native delivery daily — Claude, Copilot, OpenAI, Gemini in real work
- 80%+ client retention across long-term enterprise programs
- Compressed a 3-year ERP roadmap into 12 months
I'm not an “AI consultant” selling a framework I read about. I run delivery for a 50-engineer organization, and I've spent the last few years wiring AI into how we actually ship — discovery, architecture, decisions, documentation. Most companies are still learning what AI can do. I've been installing it. With your team, we do exactly the same: a real strategy, a validated direction, and a process that makes your people AI-native.
— Tymur
Tailored to your team.
Every team is at a different starting point, so there is no off-the-shelf price. We scope the engagement together on a first call — your size, your goals, and how far you want to go — and you get a clear proposal before anything begins.
Book a call
20 minutes, no pitch: where your team is with AI, where you want it to be, and whether we're a fit. If we are, you get a scoped proposal.