Aeon AI Risk Management helps regulated enterprises build AI governance frameworks that satisfy regulators, protect the business, and enable responsible innovation.
See everything your AI agents do. Optimize performance. Manage risk. Prove compliance. 100% agent observability for teams running 5 to 500+ AI agents.
Platform Capabilities
Aeon RiskGuard by Aeon AI Risks Management. Built for regulated enterprises operating AI agents at scale.
We work with organizations where AI governance is not optional — where regulators, boards, and risk committees require defensible, documented, and auditable frameworks.
Tier 1 and regional banks navigating OSFI, FFIEC, and SR 11-7 expectations for model and AI risk.
Life, P&C, and reinsurance firms building AI governance aligned to FSRA and international solvency frameworks.
Growth-stage and scale-up fintechs embedding governance before regulatory scrutiny arrives.
Trading, asset management, and brokerage firms governing algorithmic models and AI-driven decisioning.
Healthcare, energy, and public sector organizations subject to sector-specific AI obligations.
Firms operating across North America, Europe, and Asia managing overlapping regulatory regimes.
Every engagement produces tangible artifacts — governance documents, frameworks, tools, and processes your teams can operate and your regulators can audit.
End-to-end governance architecture: AI inventory systems, policy hierarchies, committee structures, and Three Lines of Defense integration.
Example Deliverables
Risk identification, classification, and KRI development for AI and ML models — aligned to NIST AI RMF, ISO 42001, and enterprise risk appetite.
Example Deliverables
Practical, regulator-ready AI policies, standards, and procedures that teams will actually follow — not shelf documents.
Example Deliverables
Gap assessments and compliance roadmaps against EU AI Act, NIST, ISO 42001, AIDA, OSFI, and sector-specific obligations.
Example Deliverables
Governance workflows embedded into existing risk, legal, and technology processes — including agentic AI and LLM-specific controls.
Example Deliverables
Governance education, board-level AI risk reporting, and executive fluency programs that translate technical risk into business language.
Example Deliverables
Aeon's credibility comes from having governed real AI portfolios inside major global financial institutions — not from advising on it from a distance.
Enterprise portfolio governance at a major global capital markets firm.
Governance infrastructure for employee-built agents inside a regulated enterprise.
Leading risk and governance functions across global financial institutions.
EU AI Act, NIST AI RMF, ISO 42001, AIDA, OSFI, and sector-specific obligations.
Practitioner-built — every framework designed and operated at enterprise scale
Financial sector depth — 20+ years in the most scrutinized industry for AI governance
Regulatory fluency — direct experience with AI policy across multiple jurisdictions
IAPP AIGP Certified · AI & Algorithm Auditor · CISA · CRISC · FRM
IAPP AIGP Exam Question Writer · CSA AI Controls Matrix Contributor · AI 2030 Board Advisor
"Aeon's framework gave us the structure to govern AI at scale — turning a complex compliance challenge into a repeatable, auditable process. The practical depth made all the difference."
A structured, four-phase engagement model that takes you from baseline assessment to an operational governance program — with tangible deliverables at every stage.
We begin with a structured assessment of your current AI landscape — inventory, risk exposure, regulatory obligations, and governance maturity. This produces a clear baseline and a prioritized gap analysis.
AI maturity assessment · Gap analysis report · Regulatory applicability map
We design the governance architecture tailored to your organization: policy hierarchy, committee structures, risk classification, and workflow integration. Every component is built to operate, not just to document.
Governance operating model · Policy suite · Risk taxonomy · Workflow designs
We work alongside your teams to implement the framework — training staff, configuring tools, running governance committee sessions, and embedding controls into existing processes.
Deployed workflows · Trained teams · Governance committee launch · KRI dashboards
AI governance is not a one-time project. We offer retained advisory engagements to monitor regulatory changes, update policies, support audits, and evolve your program as your AI portfolio grows.
Monthly advisory · Regulatory monitoring · Audit support · Program evolution
ISO/IEC 42001:2023 is the first certifiable AI management system standard. For regulated enterprises in Canada, its alignment with OSFI B-10, B-13, and E-23 means implementing it addresses a significant portion of your OSFI AI governance obligations.
OSFI Guideline E-23 takes effect May 1, 2027. Twelve months is enough time to build a compliant AI model risk program from a reasonable starting point — but not enough time to build one from scratch. Here is the phase-by-phase checklist.
OSFI Guideline B-10 has been in force since May 2024. It applies to every AI vendor relationship your institution has — cloud AI platforms, foundation model APIs, managed AI services. Here is what it requires and where most programs fall short.
98% of organizations have employees using unsanctioned AI tools. In regulated industries, shadow AI isn't just a security problem — it's a governance and regulatory exposure that most institutions haven't yet addressed.
Practical insights on AI governance frameworks, regulatory developments, and risk management — written for practitioners in regulated enterprises.
No spam. Unsubscribe at any time.
Whether you are beginning your governance journey or need to strengthen an existing program, Aeon AI Risk Management can help you move with confidence and clarity.