Understand
Observe the users, tools and rules that actually keep the operation running.
Product, operations and AI
From business process to digital product.
Internal tools, automation and AI systems designed from the real problem through to production.
Real processDecisionSystemMeasured outcome
Move the pointer. The system responds.
Build only what improves the work.
We start with the process and the expected outcome. Technology comes next.
Product and automation diagnostic
Turn an unclear need into a decision, priorities and an actionable plan.
↗Internal tools and automation
Replace re-entry and scattered files with one reliable operational flow.
↗AI agents and document systems
Make large document sets searchable, verifiable and actionable.
↗Custom MVP and SaaS products
Move from a business idea to a product tested in real working conditions.
↗Systems tested against reality.
Understand. Design. Build. Measure.
Design
Choose the right level of product, automation or artificial intelligence.
Build
Deliver in short stages with visible decisions and a testable product.
Measure
Look at adoption, errors and time saved before building what comes next.
A product partner who can go all the way to the system.
Oleksii Burlakov combines economics, business analysis, product management and software architecture. More than fifteen years of complex projects inform a practical approach.
PhDEconomics
15+years of projects
FR / ENFrance and Europe
Product decisions without the hype.
Legal AI /
RAG + LLM Wiki: building a verifiable ECHR case file
How OCR, LLM analysis, hybrid retrieval and structured memory turn thousands of pages into reviewable ECHR applications and bundles.
Case study /From bakehouse to last mile: the business system behind a bakery
The L’ami du Pain case study: connecting B2B orders, production, delivery, a PWA, notifications and an AI assistant in one business product.
Automation /How to recognise a process that is genuinely worth automating
A practical method to quantify the problem, map exceptions and choose between simplification, conventional automation and AI.
Which process deserves to be simpler?
Describe how it works today. You will receive an initial view of how the project could be framed.