Andrés Lage Freire · Madrid · Working remotely across EMEA
Executable governance for AI systems that can access, decide and act.
AI Governance Engineering
I design technical controls, runtime boundaries and verifiable evidence for RAG systems,
copilots, agents and high-consequence workflows.
Mitigating AI runtime risk through runtime AI governance and independent access,
authority and evidence controls.
For CISOs, CTOs, risk leaders and teams moving AI from pilot to production.
Your system can be governed on paper and still be vulnerable at runtime.
- Access: What the system can read or retrieve (RAG, permissions, prompt injection).
- Authority: What the system can trigger or change (tool allowlists, HITL gates, fail-safe).
- Evidence: What you can reconstruct and prove afterwards (decision traces, SHA-256 logs).
What brings you here? [Check my system's risk] · [I want to train my engineering team] · [I am looking for a technical partner] · [I want to explore co-delivery]
HR Copilot — Technical Governance Implementation (TGI v1)
Same model. Same requests. Two risk postures: Act I (without governance) vs Act II (8 deterministic runtime controls). The demonstration produced no sensitive findings across the test suite used.
Service Hierarchy & Indicative Pricing
- AI Runtime Risk Check — Free · 90 seconds
- AI Governance Snapshot — From €2,495 · 1-week bounded technical review
- In-Company Workshop / Hackathon ("From Legal PDF to Code") — €1,200–€3,000
- AI Governance Blueprint — From €6,500 · Control architecture
- Runtime Assurance / Fractional Architect — Scoped sprint implementation
- Partner / Co-delivery / White-label — Technical delivery for law firms, Big 4 and consultancies
Repsol Foundation Entrepreneurship Award, 2018
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Case study: BBVA platform and AI strategy
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Framework: Responsible AI for resume–job matching
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Whitepaper (PDF)
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Dédalo™ Executive Brief (PDF)
Contact:
andreslage@tshapedconsultant.com