Assessment
Risks, data assessment, indicator list, and a launch plan.
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
An independent control layer above day-to-day management
Building control around data on operations, cash, inventory, customers, and access rights.
Implementation
Data extracts or connections, initial control scenarios, and reporting.
Ongoing review
Regular exception review, logic tuning, and timely response.
Audit development
Data-driven internal audit with minimal disruption to the business
I assess a function’s digital maturity, shape a development programme, and help implement the changes when needed.
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.
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 professional judgement remaining human. AI challenges reasoning rather than replacing the auditor.
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
Audit background with hands-on technical practice
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.
I combine audit judgement with data science and software development to make control reproducible, understandable, and useful.