Finance leadership for AI-era operations

20+ Years of Corporate Finance. Powered by AI.

Enterprise financial leadership (ACCA, Warwick Business School Alumnus) meets production-ready AI. I architect secure multi-agent systems to automate complex financial operations and compliance.

20+
years in finance leadership
ACCA
international qualification
WBS
Warwick Business School alumnus
Roman Balychevtsev
ACCA Qualified
WBS Alumnus

Twin pillars of expertise

Finance depth with automation discipline.

A practical bridge between board-level financial governance and secure intelligent systems that reduce manual work without compromising control.

Strategic Finance & Compliance

    AI Architecture & Operational Automation

      Solutions

      Focused systems for financial teams under pressure.

      Each engagement starts with operational diagnosis and ends with measurable time, control, and reporting improvements.

      Financial data extraction

      Secure capture of invoices, contracts, reconciliations, and reporting packs.

      Audit preparation automation

      Evidence packs, variance explanations, and control documentation workflows.

      Private AI agents

      Role-aware assistants for finance teams with protected context and approvals.

      Governance-ready deployment

      Architecture that respects confidentiality, audit trails, and executive oversight.

      ROI Calculator

      Estimate the monthly value of automation.

      Use conservative assumptions to see the potential impact of reducing manual reporting hours.

      Projected impact

      Hours Saved Monthly

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      Monthly Financial ROI

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      Annual Savings

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      Assumes 55% automation of manual reporting time and 160 working hours per month.

      Case Studies

      Transformation metrics that boards understand.

      Representative examples of the type of outcomes created by combining finance controls with automation architecture.

      Reporting transformation

      IFRS 17 Transition Automation

      Problem: fragmented source files and slow monthly reconciliation.

      Approach: knowledge-processing workflows, validation rules, and approval logs.

      Outcome: 42% faster closing cycle and fewer manual control breaks.

      Audit readiness

      Evidence Pack Automation

      Problem: finance teams losing weeks to request tracking and document matching.

      Approach: structured extraction, control mapping, and reviewer queues.

      Outcome: 120+ hours saved per audit cycle.

      Executive control

      Finance Agent Deployment

      Problem: leadership needed faster answers without exposing sensitive data.

      Approach: private language model access, role permissions, and traceable responses.

      Outcome: decision memos prepared in hours instead of days.

      Contact

      Discuss a high-impact automation brief.

      Share the challenge, operating context, and desired outcome. You will receive a focused response for the next step.