AI GOVERNANCE

AI Governance for Regulated Wealth Management

CIRO, SEC, and FINRA are examining how your firm uses AI. Are you ready?

Supervisory AI
CIRO · SEC · FINRA
FSC + Agentforce
GenAI
In examination programs
4
Diagnostic dimensions
North America
Wealth & brokerage
Roadmap
After discovery
Shadow AI and weak metadata are becoming the next examination flashpoints for North American wealth firms.
THE PROBLEM

Four Gaps Examiners Are Already Looking For

Our team works with wealth management firms where AI adoption has outpaced governance. These are the patterns that create regulatory and supervisory risk across North America.

SHADOW AI

Shadow AI

Advisors using ChatGPT, Copilot, and Gemini with client data. No audit trail. No supervision. No answer when regulators ask.

Communications compliance
AGENTFORCE

Agentforce Without Governance

AI agents accessing sensitive FSC data without proper Field-Level Security or Data Classification controls.

FSC data models & metadata
POLICY VS REALITY

The Paper Program Gap

Firms have written AI policies but no technology actually enforcing them. Regulators audit the gap, not the policy.

ComplianceFlow on Salesforce
EXPOSURE

Headless 360 Exposure

MCP-accessible processes expose more FSC data than firms realize. Most have no inventory of what's now reachable.

Solutions for wealth management

Off-channel communications generated $3.5B+ in SEC fines since 2021. Shadow AI is following the same enforcement trajectory.

REGULATORY DRIVERS

Why AI Governance Is on the Examination Agenda

CIRO, SEC, and FINRA are moving in parallel with other North American regulators. The pattern is consistent: prove how you supervise AI, or show the gap.

FINRA 2026

Dedicated GenAI section in examination priorities. AI tool inventory is now a formal requirement.

CIRO 2026

AI operational controls included in financial and operations examinations.

Heppner Ruling (S.D.N.Y., Feb 2026)

AI-generated documents can lose privilege when attorneys cannot explain the AI's reasoning.

CSA Notice 11-348

Canadian securities regulators' guidance on AI use in capital markets.

This isn't future speculation. These are current examination requirements.

Deeper context: FSC resources & guides · 60-second solution finder

OUR DIAGNOSTIC

TTG's AI Risk & Readiness Diagnostic

Our diagnostic engagement evaluates your AI exposure across four dimensions and delivers a prioritized remediation roadmap. Investment is tailored to your scope. After discovery, our team provides a clear roadmap—without locking you into timelines or scope you haven't approved.

Our architects previously defined FSC requirements for more than 1,000 wealth professionals across three divisions at one of North America's largest financial institutions. The same discipline applies to your AI governance review.

PHASE 1

Technical Metadata Scan

Salesforce schema review, FLS coverage assessment, Data Dictionary completeness, Help Text population audit.

PHASE 2

Shadow AI Detection

Unauthorized AI tool usage assessment across the firm. Identify where client data is leaving approved channels.

PHASE 3

Paper Program Gap Analysis

Compare written AI policies against actual technical enforcement. Find the gaps regulators will find first.

PHASE 4

Headless 360 Exposure Assessment

Inventory which FSC processes are now MCP-accessible. Define the governance needed to control them.

Client retains all deliverables regardless of whether they proceed with implementation.

WHY METADATA MATTERS

If your Salesforce custom fields don't have populated Help Text and Data Classification labels, any AI tool — including Salesforce's own Agentforce — will hallucinate because it literally doesn't know which fields contain sensitive data. That's the first thing our team checks.

Get Ahead of the Examination

Schedule a no-obligation conversation to discuss your AI governance posture with our team.

Schedule AI Readiness Assessment

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