Governed AI for Asset Management
How a $200B+ asset management firm deployed M365 Copilot, Copilot Studio agents, and custom Azure AI — with full SEC/OCC compliance enforced at runtime, from Day 1.
The Challenge
Financial institutions are deploying autonomous AI agents that execute transactions, access sensitive data, and interact with clients. Legacy security was built for APIs and humans — not for non-deterministic AI logic making real-time business decisions.
Legal Liability Established
Courts ruled Air Canada legally liable for its AI chatbot hallucinating a refund policy. Precedent is set: the company owns every AI decision.
SEC AI Enforcement Active
The SEC is fining investment firms for "AI washing" — misrepresenting capabilities or lacking documented oversight of AI agent decisions.
OCC Demands Runtime Oversight
Model Risk Management (SR 11-7) requires continuous monitoring of autonomous systems. Static validation is no longer sufficient.
Two Enforcement Layers
Prufer protects employee AI usage and autonomous agent actions through two independent enforcement points.
Your Microsoft Stack → Prufer Governance
Every AI surface in the Microsoft ecosystem gets its own enforcement point — no rip-and-replace required.
Blocks PII, IBAN/SWIFT, portfolio data, and credentials before reaching Copilot's LLM
Intune PushGovernance gate on every agent action — refunds, data access, client comms. Drag-and-drop, no code.
Custom ConnectorRuntime hooks for pro-code agents — governing multi-step agentic reasoning chains
SDK InstallFinancial Compliance, Pre-Built
CTR Cash Thresholds (31 CFR §1010.311)
Automatic enforcement on transactions ≥ $10K. Built-in regulatory citation for examiner review.
Structuring Detection (31 USC §5324)
Pattern-based identification of deposits designed to evade reporting thresholds.
FATF Geographic Risk (Recommendation 19)
Automatic ESCALATE decisions for transactions involving high-risk jurisdictions.
Large Wire EDD (>$50K International)
Enhanced Due Diligence triggers with human-in-the-loop approval workflows.
What Changes
Security Becomes a Guardrail, Not a Gate
Risk defines the boundaries once. Engineering builds freely inside them. No more manual compliance reviews blocking deployment.
SEC/OCC Examination Readiness
100% of AI agent decisions are logged with immutable, timestamped audit trails. Examiner-ready evidence on demand.
AI Usage Intelligence
Track how employees use Copilot across departments. Surface risky prompt patterns, measure adoption, and identify training gaps — by Azure AD identity.
Zero Vendor Friction
Azure Marketplace procurement roadmap. Pay via existing MACC commitment — single Microsoft invoice, no new vendor onboarding.
90-Day Deployment Roadmap
Deploy browser extension via Intune. AI usage visibility on Day 1.
Configure AML/BSA, data residency, and SOX rules with compliance team.
Power Automate connector + SDK integration for Copilot Studio agents.
Complete fleet governance, audit reporting, and examiner-ready evidence.
* Phases can run in parallel — Prompt Guard deployment and Policy Studio configuration typically start simultaneously, and Agent Connector integration can begin as soon as initial policies are drafted.