The following engagement summaries illustrate the scope, approach, and outcomes of Aeon's work with regulated enterprises. All client details have been anonymized.
100+ AI initiatives governed across 12 business lines with a single, board-approved framework.
A Tier 1 global capital markets firm had accumulated over 100 AI initiatives across trading, risk, compliance, and client services — with no centralized governance, no AI inventory, and no consistent risk classification methodology. The firm faced an upcoming regulatory examination and had no defensible answer to the question: "What AI are you using, and how are you governing it?"
5,000+ employee-built AI agents brought under governance without disrupting operational productivity.
A regional financial institution had deployed an internal AI agent platform, enabling employees to build and deploy their own AI agents for operational tasks. Within 18 months, over 5,000 agents had been created — with no systematic governance, no observability infrastructure, and no controls to prevent agents from taking unauthorized actions or accessing sensitive data. A near-miss incident involving an agent accessing restricted customer data triggered an urgent governance review.
ISO 42001 certification achieved in 8 months while simultaneously meeting EU AI Act high-risk system requirements.
A multinational insurance group with operations across North America and Europe needed to prepare for EU AI Act compliance obligations while simultaneously pursuing ISO 42001 certification as a signal of AI governance maturity to regulators and institutional clients. The organization had no AI inventory, no formal AI governance policy, and AI risk management was fragmented across technology, legal, and compliance functions with no clear ownership.
Every engagement begins with a structured discovery conversation. We'll assess your current AI landscape, identify your most pressing governance gaps, and outline a practical path forward.
Discuss Your AI Governance Priorities