Board-level AI strategy, enterprise unit economics, and governance frameworks delivered every Tuesday morning. Authored by Dr. Stylianos Kampakis, CStat (PhD UCL, Honorary Research Fellow at the UCL Centre for Blockchain Technologies).
No generic buzzwords or surface-level summaries. Just mathematical models, architecture blueprints, and boardroom decision frameworks.
Learn how to calculate real inference token drift, human-in-the-loop overhead, and 90-day P&L payback hurdles before approving consulting invoices.
Actionable compliance roadmaps for the EU AI Act, agentic authority controls, and deterministic state machine architectures for corporate risk teams.
Translating frontier research from UCL, Alan Turing Institute, and top-tier labs into production advantage for non-technical executives.
MIT NANDA (2025): 95% of custom GenAI pilots had no measurable P&L impact. McKinsey (2026): 81% of organisations experimenting with AI report no meaningful bottom-line gains.
When to deploy 8B and 14B parameter domain models over 70B+ frontier models to cut compute costs by 95% while maintaining enterprise precision.
How to architect continuous learning loops where autonomous workflows, human review, and persistent databases compound organisational advantage.