I'm Igor Bobriakov. I run ActiveWizards — a 10-year AI engineering studio — and wrote Production-Ready AI Agents. The architecture patterns I advise on come from systems my team ships every day.
Every initiative maps to a business outcome your leadership can measure. Each sprint has a target, not a research question.
Production patterns — Pydantic validation, structured outputs, eval-driven development — transferred through code reviews, not slide decks.
Schema contracts, observability from day one, cost modeling before you pick a provider. Systems that survive the first 10x without a rewrite.
RAG vs. fine-tuning. LangGraph vs. CrewAI. Build vs. buy. You get a documented decision with trade-offs, not a verbal opinion.
A fractional architect changes the trajectory before the cost compounds.
Founder of ActiveWizards, a 10-year AI engineering studio. Production deployments across healthcare, fintech, B2B SaaS, and enterprise platforms.
Author of Production-Ready AI Agents — the Three Pillars framework (Observability, Reliability, Security) that I apply to every advisory engagement.
Schema and code reviews to prevent silent failures — the bugs that pass tests but corrupt your pipeline. Independent of any vendor or platform.
The patterns I advise on come from systems my team builds and maintains every day at ActiveWizards.
From a single audit to embedded leadership. No long-term lock-in.
You have engineers. You need a Principal-level architect to validate decisions.
You need a senior AI leader to drive a critical initiative to production.
Your AI project is stalled. You need an outside perspective grounded in production.
2-5 AI engineers (Python, LangGraph, vector DBs, cloud infra) deployed through ActiveWizards on monthly retainer.
I design the architecture; my engineers build it. One team, one methodology. Pairs with any advisory tier.
A Senior Engineer executes tickets. A Principal Architect prevents you from creating the wrong tickets. The fractional model gives you that judgment — informed by a decade of production deployments — without a full-time headcount. The goal is better decisions, not more capacity.
No long-term lock-in. I recommend starting with a 3-month engagement so the work has time to compound, but we can discuss what makes sense for your situation.
We arrange additional hours or a temporary tier upgrade. Production timelines are unpredictable — the engagement adapts.
Deepest experience: healthcare, fintech, B2B SaaS. The production patterns — observability, structured validation, evals — are industry-agnostic. If you're building with LLMs or agentic systems, we speak the same language.
Yes. I sign a mutual NDA before our first working session. Your IP stays yours.
Yes. I'm happy to connect you with current and former advisory clients. Just ask during our intro call.
No junior analysts. No slide deck handoff. I'm in your Slack, reviewing your PRs, attending your standups. You work with me directly.
Absolutely. We start with a diagnostic call to map your architecture and identify the highest-leverage intervention. No commitment required — we decide together if a longer engagement makes sense.
Day 1: 60-minute discovery call — architecture, team structure, blockers. By Friday: written assessment with prioritized next steps.
One conversation to find out which one you are building.