Featured project · Local/private MVP

AI Process Review

A structured first pass before the deeper process conversation

A standalone product in development for identifying recurring process-design issues, evidence gaps and questions that deserve experienced human review.

Process contextPattern reviewEvidence traceHuman judgment

The problem

Process diagnostics are difficult to make fast, consistent and evidence-linked

Transformation teams repeatedly encounter unclear ownership, duplicated controls, unmanaged exceptions, fragmented inputs and measures that miss the end-to-end outcome.

A first review can take substantial senior time, while conclusions are often hard to trace back to the source material. AI Process Review is designed to structure that first pass without pretending to replace practitioner judgment.

Who it is for

Teams accountable for how complex work actually runs

01

Process owners

Leaders who need a clearer view of handoffs, exceptions, controls and end-to-end outcomes.

02

Transformation teams

Practitioners prioritizing redesign, automation or AI opportunities across a portfolio of processes.

03

Product & operations executives

Decision-makers who need an evidence-linked starting point before committing people, technology or budget.

How the review works

Structure first, findings second, human judgment throughout

The review uses controlled diagnostic patterns and explicit evidence links. It surfaces questions and hypotheses; it does not make an operational decision on the user's behalf.

  1. 01

    Frame the process

    Clarify the intended outcome, actors, stages, decisions, handoffs, controls and known exceptions.

  2. 02

    Review recurring patterns

    Compare the material with a controlled library of process antipatterns and record the supporting evidence.

  3. 03

    Prepare a first-pass report

    Summarize findings, confidence, missing context, questions and redesign hypotheses for practitioner validation.

  4. 04

    Apply human review

    Validate context, challenge unsupported conclusions and decide what merits deeper analysis or action.

Current status

Local/private MVP. Separate product boundary

This page is a project overview on Dmitry's personal professional site, not the production host for AI Process Review.

  • Controlled private reviews only
  • No anonymous process upload
  • No public analysis form or report links
  • No accounts, pricing or payments on this site
  • No product analytics or private product data on this site
  • The application and its product infrastructure will live separately

Why this project

Built from experience with products, infrastructure and operating change

Dmitry's work has connected customer journeys, product ownership, national payment infrastructure, marketplace fintech, B2B transaction banking, risk, operations and adoption.

AI Process Review turns that practice into a more consistent diagnostic layer: one that keeps ownership, controls, evidence and measurable outcomes visible while using AI where it can accelerate structured analysis.

Important limitations

AI Process Review provides a structured first-pass diagnostic. It does not replace professional, legal, regulatory, compliance, security or operational review.

This personal site accepts no process description or file. Send only high-level context and do not include confidential information. The independent product does not yet have a public URL, so no external product link is shown.