AI Product Assessment and Advisory

AI projects are not just about technology — they’re about feasibility, maturity, and business value. Even a strong team may overlook architectural limitations, scaling risks, or the absence of product-market fit. It’s critical to assess a solution before scaling, launching a pilot, or attracting investment.

I join as an independent expert to evaluate the viability and relevance of AI projects: identifying weak points, assessing alignment with business goals, and recommending what to improve, rebuild, or validate further.

This service is especially relevant for:

  • Early-stage startups (MVP validation, business model discovery, pre-/post-acceleration readiness)
  • Corporate innovation programs and accelerators (startup selection, solution validation);
  • Internal AI project evaluations in large companies (prior to launch or funding decisions).

What’s included:

  • Analysis of business context and target objectives;
  • Review of system architecture, model maturity, implementation logic and technical stack;
  • Diagnosis of weaknesses: risks, dependencies, scalability limitations;
  • Validation of alignment with business goals and end-user value;
  • Recommendations for improvements, alternative approaches, or hypothesis validation;
  • (If needed) Collaboration with the project team, vendors, or investors;
  • (Optional) Preparation of an expert summary for accelerators, corporate programs, or venture funds.

What the client gets:

  • Independent expert evaluation of the AI solution;
  • Clear understanding of risks and weak points;
  • Actionable, grounded recommendations for improvements and next steps;
  • Time and cost savings through early rejection of ineffective approaches;
  • A summary report with findings, comments, and strategic guidance.

Engagement formats:

  • One-time expert review — evaluation of a specific AI project, MVP, or prototype;
  • Portfolio or batch audit — review of multiple applications for programs, accelerators, or funds;
  • Ongoing project tracking — hands-on support for teams across the lifecycle: from hypothesis to launch.

Example cases:

Internal accelerator at a leading tech institute
Served as a project tracker for teams at various stages of maturity. Supported them in refining hypotheses, shaping product logic, setting development priorities, and preparing for project defense.

Corporate accelerator of a major ecosystem company
Conducted independent expert reviews of AI project applications for participation in an accelerator and industry event. Evaluated product maturity, solution architecture, market potential, and scalability risks. Projects ranged from early-stage startups to Series A and B.

Individual mentoring for AI startups
Over the past year, provided expert support to 10+ AI startups through private consulting. Engagements ranged from helping define early-stage concepts to supporting mature teams preparing to scale, raise funding, or strengthen their core product proposition.


Why clients choose to work with me

I combine strategic thinking, hands-on startup experience, and deep expertise in generative AI. I speak the language of founders and product teams, while fully understanding what happens “under the hood” of models and AI tools.

I work fast, get straight to the point, and avoid fluff. I don’t just “help implement AI” — I help you find the exact spot where it creates business value: reducing costs, accelerating workflows, or improving decision quality.

Each project benefits from a unique combination of:
– 12+ years in IT and product leadership,
– 3 years of hands-on experience with LLMs and AI-driven automation,
– dozens of consulting engagements and real-world implementations across industries.

My approach is grounded in clear diagnostics, pragmatic advice, and realistic plans — always aligned with your business goals, constraints, and capabilities.