GenAI Ops I&AM and Change Management Best Practices
As GenAI embeds into workflows, access and change controls become make-or-break. This workshop maps identity, permissions, audit evidence, and change approvals across system layers so scale doesn’t turn into unmanaged risk.
Leave with a practical operating approach that reduces access risk, improves auditability, and makes GenAI change safer to scale.
Many organizations apply traditional I&AM and change controls to GenAI—then discover new gaps created by dynamic data access, evolving models, and tool-driven actions.
- Roles and controls don’t map cleanly to GenAI workflows: Access boundaries across data, models, prompts, and tool actions are unclear, leading to over-permissioning or blocked productivity.
- Changes create downstream impact that’s hard to predict: Model updates, routing changes, and policy adjustments can shift behavior quickly, without consistent scenario planning and approvals.
- Audit evidence is incomplete or hard to use: Access and change logs exist, but aren’t structured to support compliance, investigations, and accountability at scale.
If I&AM and change management aren’t designed for GenAI, scale increases exposure—and slows adoption when scrutiny rises.
We help teams operationalize GenAI I&AM and change management as a layered control system—policy-based, auditable, and adaptable as use cases expand.
- Map identity and access management to GenAI use cases: Define what must be controlled in each use case—data access, model access, tool actions, and administrative operations.
- Implement policy-based controls and roles across AI layers: Establish roles, permissions, and policies that align to responsibilities across data, model, and orchestration layers.
- Manage change impacts through scenario planning: Define how changes are assessed and approved so downstream behavior shifts are anticipated and controlled.
- Audit access and change logs for compliance: Clarify what must be logged, how it’s reviewed, and how evidence is used to support compliance and investigations.
- Evolve I&AM using operational and business feedback: Build feedback loops that refine roles, policies, and processes based on real usage and incident learnings.
- Mapping I&AM requirements to GenAI use cases
- Policy-based controls and role definitions across AI layers
- Managing change impacts through scenario planning
- Auditing access logs for compliance
- Auditing change logs for compliance
- Evolving I&AM with operational and business feedback
- Identify the key identity and access control needs across priority GenAI use cases and system layers
- Define role- and policy-based controls that balance productivity with enterprise risk management
- Establish a change management approach that anticipates downstream impacts and reduces rollout risk
- Define audit expectations for access and change logs to support compliance and accountability
- Leave with an improvement plan to evolve I&AM and change controls using operational feedback
Who Should Attend:
Solution Essentials
Facilitated workshop (interactive discussion + working session)
8 hours
Advanced
Virtual whiteboard and shared document workspace