Public institutions face a unique trilemma: deliver AI-driven services, stay compliant with the EU AI Act, and keep data under European sovereignty — all while navigating procurement rules designed for a pre-AI era. I've advised government agencies on AI strategy and built compliance frameworks aligned with EU regulations. I know the difference between AI that looks good in a press release and AI that survives a public-sector audit.
Engagement-based advisory and implementation for ministries, agencies, municipalities, and public institutions. No per-seat SaaS pricing — scoped programs tied to your mandate, budget cycle, and regulatory calendar.
Two weeks. A written readiness report ranked by severity — covering OT/IT boundary, sensor-data pipelines, edge-inference readiness, and safety-regime maturity — plus a 90-day roadmap you can defend to your board
Four weeks to a strategy document, a business case, an ROI model, and a 12-month execution plan — scoped for industrial operators where OEE, safety-regime timelines, and physical-system procurement cycles are the real constraints, not just board optics
Eight weeks. A fine-tuned open-weight model — Mistral, Llama 3, or Qwen — trained on your proprietary industrial data (maintenance manuals, MES/PLC logs, technical documentation) and running on infrastructure you control, not a frontier API you rent
Sixteen weeks to AI running on the edge — inside a robotics cell, an AGV/AMR fleet, an ADAS or AD stack, a UAS/drone autonomy system, or a substation — with the safety evidence, the SRE handoff, and the integration your operations team will accept
Twelve to twenty-four weeks to risk-classify your AI systems, complete the conformity assessment, produce the Annex IV technical documentation, and stand up post-market monitoring — with special depth on Annex III high-risk categories for autonomous, industrial, and robotics deployments
Part-time executive AI leadership — six to twelve months, two days a week — owning the AI P&L, governing physical-AI risk, chairing the AI-safety board, aligning OT/IT AI policy with standards, and building the regulator-facing narrative for industrial, automotive, and energy organisations
Functional-safety evidence for AI in safety-critical machines — HARA, ASIL/DAL/SIL decomposition, and assurance cases mapped to ISO 26262, DO-178C, and IEC 61508. A notified body certifies; I engineer the evidence they assess.