About the Workshop

Security, risk, and compliance teams are moving fast to harness AI while trying to avoid data leakage, bias, and regulatory missteps. The challenge isn’t just choosing tools; it’s aligning policy, process, and controls so AI can be used safely and at scale across the business.

ANM’s AI Readiness & Governance Workshop gives IT and security leaders a fast, practical path to a defensible governance program, turning strategy into execution.

Agenda:

1. Strategy & Planning
   Establish scope, guiding objectives, and success metrics; align on initial ethical principles and risk appetite.

 

2. Structure & Design
   Define governance roles (executive oversight, review committees), decision rights, and the cross-functional operating model.

 

3. Discovery & Analysis
   Identify current and planned AI use cases; surface data flows, model dependencies, and risk areas (privacy, bias, transparency, accountability).

 

4. Operationalize & Automate
   Map intake assessment approval monitoring workflows; highlight opportunities for automation to reduce manual governance tasks.

 

5. Monitor & Sustain
   Define controls, metrics, and continuous improvement practices to keep governance current with evolving technology and regulation.

Throughout, we emphasize core governance pillars such as transparency, privacy, and training and awareness to drive adoption and compliance.