Building control around data

Designing business control indicators, developing internal audit analytics, and training teams.

Areas of work
01

business control for owners and executives

02

internal audit function development

03

corporate team training

Business control

Business under control without your constant presence

You do not need to review every transaction or monitor operations around the clock. Grow your businesses, make strategic decisions, and spend time with your family: independent control lets you focus only on material exceptions.

Clear focus

A concise brief instead of a stream of reports: only the events that matter.

Early warning

An exception becomes visible before it can repeat and grow into a problem.

Reviewed context

Instead of an unreviewed exception signal, you receive a verified result with the cause and scale of the risk.

Clear action

Each message explains whether your intervention is needed and what decision can be made.

You are promptly informed about exceptions that may affect cash, assets, or business resilience, together with context and a possible response.

Audit development

Data-driven internal audit with minimal business disruption

I assess a function’s digital maturity, shape a development programme, and help implement the changes when needed.

The company gains an internal audit function that focuses on what matters, works faster, and relies less on manual information collection.

Faster reviews

Repeatable operations are handled by analytical routines, leaving auditors more time for analysis and judgement.

Stronger conclusions

Analysis covers more transactions and preserves a clear link from data to conclusion.

Less disruption

Repeatable data access reduces manual requests and duplicate information gathering from management.

01

Digital maturity assessment

A structured review of data access, analytics, workflow, reproducibility, skills, and AI governance.

  • current and target maturity profile
  • priorities and an improvement roadmap
  • an option to implement the proposed changes

Outcome: a development plan based on the team, systems, and available data.

02

Change implementation

Practical delivery of the agreed roadmap together with internal audit and the relevant corporate functions.

  • data access and repeatable extraction processes
  • analytical scenarios and reproducible workflows
  • methodology, tools, and transfer of practice to the team

Outcome: faster reviews, more precise conclusions, and less management time spent providing data.

AuditFlow. An open framework for structured and reproducible internal audit work. Its principles are reproducible data analysis, documentation of reasoning, automation of mechanical work, and help from AI.

Training

Practical programmes for auditors, analysts, and leaders

Programmes and working sessions built around the company’s needs.

Working with data

Data preparation, analytical scenarios, reproducibility, and clear communication of results.

Internal audit

Professional judgement, quality of evidence, and the practical use of analytics in audit work.

Critical thinking

Testing hypotheses, working with uncertainty, and avoiding premature conclusions.

Organisations and communication

Human behaviour at work, difficult conversations, and influence without formal authority.

About

I combine audit judgement with data analysis and software development, which allows me to work with a client all the way from the initial question to an operating control system.

CIACAPRussian Ministry of Finance auditor certificateMS in Data Science · University of Texas at Austin20 years in practiceIndependent development

I have worked in external and internal audit for 20 years: from process analysis and investigations to building and leading internal audit functions.

Professional judgement

Audit and investigation practice helps separate material risk from background noise.

Methodological foundation

CIA, CAP, and the Russian Ministry of Finance auditor certificate: credentials supporting well-grounded assessments and professional conclusions.

Technical delivery

An MS in Data Science and software development practice make it possible to move beyond recommendations to working scenarios.

Change experience

Building and leading audit functions brings a practical understanding of team, system, and process constraints.

Transparent practice

AuditFlow reflects my approach: decisions should be traceable, analysis reproducible, and mechanical work minimal.