Governance Frameworks
- Enterprise AI governance policy design
- Model risk management and audit trails
- Board-level AI oversight structures
AI Governance & Enterprise AI Strategy
Advisory by Alexey Zolotarev — C-Suite Technology Executive & Board Advisor
Moving beyond the hype to implement AI frameworks that deliver measurable ROI and mitigate board-level risk.
Enterprise AI Governance Advisory
Boards and C-suite executives face mounting pressure to govern AI responsibly — meeting regulatory requirements, managing model risk, and demonstrating that AI investments translate into measurable business outcomes. Alexey Zolotarev brings 20+ years of enterprise software leadership, 15 years in high-risk FinTech, and hands-on certifications in AI Security & Governance and DSPM Fundamentals. He has built AI-core platforms from zero to Product-Market Fit and defined enterprise AI strategy with board-level ROI accountability at Pepperstone, one of the world's top-10 FX brokers.
AI Strategy & ROI
- AI roadmap with measurable ROI targets
- Alignment with P&L and EBITDA goals
- Build vs. buy vs. partner decisions
Security & Compliance
- AI security posture assessment (DSPM)
- Regulatory compliance for AI in FinTech
- Data lineage and privacy controls
What AI Governance Advisory Covers
AI governance is not a compliance checkbox — it is a competitive advantage when implemented correctly. The following areas represent where boards and executives most commonly need an independent technical partner with real implementation experience.
Enterprise AI Governance Frameworks
Designing the policies, processes, and accountability structures that govern how AI is built, deployed, monitored, and audited in an organization. This includes model risk management, explainability requirements, human-in-the-loop controls, and incident response for AI failures.
- AI policy design aligned to EU AI Act, ISO/IEC 42001, and sector-specific regulatory frameworks
- Model lifecycle governance: training data governance, validation gates, production monitoring
- Board reporting structures: KPIs, risk dashboards, and escalation protocols for AI incidents
Relevant credential: Certified AI Security & Governance; DSPM Fundamentals
Board-Level AI Oversight
Helping boards ask the right questions about AI investments, understand the risk profile of AI systems in use, and fulfil fiduciary duties in an era of algorithmic decision-making. This is distinct from implementation — it is governance from the top down.
- Board education sessions: what AI risk means for your specific business model
- AI investment evaluation: assessing vendor claims, model performance, and TCO
- Fractional NED or board observer role focused on technology and AI risk
AI-Core Platform Design
For organizations building AI into their product or operations, architecture decisions made early have decade-long consequences. Having designed an AI-core platform at a FinTech startup from zero to Product-Market Fit and Seed to Round A, Alexey brings direct execution experience to these advisory conversations.
- Personalization, risk modeling, and operational automation architectures
- Vendor selection: MLOps platforms, LLM providers, vector databases
- Data infrastructure requirements for reliable AI systems at scale
Key result: Built AI-driven platform from zero to Product-Market Fit, Seed to Round A
AI Governance Track Record
Where This Expertise Was Applied
Current
Pepperstone
GM Software Engineering
- Defined enterprise AI strategy with measurable ROI targets for a Top-10 global FX broker
- Full technology P&L responsibility including AI investment governance
- AI strategy and engineering execution across two continents
iGaming Startup
CTO & Chief AI Officer
- Designed AI-core platform for personalization, risk modeling, and operational automation
- Built from zero to Product-Market Fit; led Seed to Round A fundraising
- Responsible for both technical governance and AI investment strategy
Related Advisory Services
M&A Due Diligence
Pre-acquisition technical evaluation and post-merger integration. 4 acquisitions, $800M in exits, zero business disruption.
Learn more →Hyper-Growth Scaling
Technology organization scaling for high-growth companies. 5.6x engineering org growth, $3.8T monthly trading volume.
Learn more →EBITDA Optimization
Infrastructure TCO reduction of 35–53%, P&L growth through technology efficiency and capital allocation.
Learn more →Frequently Asked Questions
What is Alexey Zolotarev's approach to AI governance?
Alexey moves beyond AI hype to implement enterprise frameworks that deliver measurable ROI while mitigating compliance and security risks. His approach aligns AI initiatives with governance, risk management, and board-level oversight requirements. He holds certifications in AI Security & Governance and DSPM Fundamentals, and has designed AI-core platforms for personalization, risk modeling, and operational automation.
What AI governance certifications does Alexey Zolotarev hold?
Alexey holds certifications in AI Security & Governance and DSPM (Data Security Posture Management) Fundamentals. He applies these frameworks to help boards and C-suite executives establish enterprise-grade AI oversight, covering model risk, data lineage, regulatory compliance, and security posture management for AI systems in regulated industries.
Let's Connect
Available for AI governance advisory, fractional board director, and strategic engagements.