A data‑backed breakdown of the costs of maintaining AI systems related to compliance built for CTOs, CISOs, Risk & Compliance leaders.
For technology, risk, and compliance leaders, AI governance isn’t a checkbox - it’s core to risk mitigation and long‑term financial planning.
In this session, we quantify what compliant AI really costs to run and show where to find savings without increasing risk.

Head of AI
Speednet
Former Intel AI leader (nexAI co-founder, EMEA AI Spokesperson, AI Strategy Lead, AI Solutions Architect). Tim now leads AI Auditor at Speednet - enabling safe, ethical, and auditable AI through continuous monitoring and governance automation. He also lectures in Kozminski University’s Business AI program.
Why now: What EU AI Act, DORA & NIS2 mean for P&L and planning.
The numbers: Findings from EU financial institutions (benchmarks, average vs. marginal costs, and top cost drivers).
From cost to control: The TCO calculator, governance-by‑design in MLOps, and quick‑win optimisations.
Executive Q&A: Live discussion on budgets, trade‑offs, and sequencing.
Technology leaders: CTO, CIO, CISO
Risk & Compliance: Heads of Risk, Compliance, Internal Audit
AI & Data leaders: Heads of AI/ML, Data Science, MLOps
Business owners: Decision‑makers planning or running mission‑critical AI
Secure your spot to transform compliance overhead into a clear, manageable operational strategy.
Hard numbers: A line‑item view of AI governance cost drivers (people, GRC tooling, external audits).
A TCO framework: A practical model for budgeting ongoing compliance and not just build costs.
Operational levers: Where to integrate governance into MLOps to cut friction and spend.
Risk clarity: How governance pillars (Explainability, Fairness, Robustness) map to resources and OPEX.
27th November 2025, 10:00 GMT / 11:00 CET
45 min + live Q&A
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