Enterprise AI · Product · Architecture · Controlled Production

Enterprise AI products for regulated operations.

I’m Vadim Vladymtsev, CTO at StackLevel Group. I work across product, architecture and engineering to help enterprise AI initiatives move from use-case selection to governed production.

CTO · StackLevel GroupCurrent role
CenturyAI Product Leader · IT-Akademgrad 2025
Vadim Vladymtsev, Enterprise AI CTO

Current mandate

Product and architecture for governed enterprise AI.

Enterprise AI becomes useful only when the product, data access, controls, ownership and delivery system work together. My focus is the operating layer around the model: what the system is allowed to do, how it is evaluated, how users adopt it, and how it remains observable in production.

Vadim Vladymtsev

Relevance

Where this experience is useful.

Regulated organisations

When a priority AI use case needs architecture, controls, ownership and a credible path beyond pilot stage.

Scope a governed deployment →

Investors

When an AI company’s product, data, architecture, team and deployment claims need technical assessment before a decision.

Review the diligence framework →

Founders and executives

When product, architecture, roadmap and engineering delivery have diverged and a CTO-level diagnosis is needed.

Request a CTO diagnostic →

For speaking and expert commentary, see the public-work archive.

Product depth

Century: an operating layer for private enterprise AI.

Century brings assistants, workflows, governed data access, audit, observability and deployment control into one enterprise product surface.

Next step

Start with the decision that needs to be made.

Share the organisation, current constraint, decision timeline and stakeholders involved. Do not include confidential data in the first message.