GenAI Knowledge Graph Fundamentals
Governance must protect the enterprise while enabling adoption—otherwise scale never happens. This workshop designs a practical governance operating model with repeatable decisions, clear ownership, and standards teams can apply consistently.
Leave with a governance model that makes GenAI evaluations repeatable, defensible, and scalable—so adoption can accelerate responsibly.
Organizations often have governance intent—but lack the repeatable mechanisms to evaluate GenAI systems consistently across teams and use cases.
- Governance is inconsistent across initiatives: Different teams apply different standards, creating uneven risk, slow approvals, and unclear accountability.
- Evaluation is ad hoc and hard to repeat: Without a standard evaluation lifecycle, results aren’t comparable and decisions become subjective.
- Scaling multiplies cost and complexity: As GenAI expands, manual reviews and one-off processes become bottlenecks that slow delivery and increase exposure.
If evaluation and governance don’t scale, GenAI either slows to a crawl—or scales in ways the enterprise can’t defend.
We help teams operationalize governance through Evaluation-as-a-Service (EaaS)—a repeatable evaluation capability that enables fast, consistent decision-making.
- Define EaaS objectives and organizational benefits: Clarify what EaaS enables (consistency, speed, comparability, defensibility) and how it supports responsible GenAI scale.
- Establish a standard model evaluation lifecycle: Create a repeatable evaluation flow that teams can apply across use cases—from setup to review to decision.
- Define roles, tooling, and success metrics: Specify who owns what, what tools are required, and what “good” looks like so governance is actionable and measurable.
- Run pilot projects to validate EaaS readiness: Test the approach in real initiatives to refine the lifecycle, measures, and handoffs before scaling.
- Operationalize and scale EaaS across the enterprise: Build the operating model, intake, and governance rhythm that make evaluation consistent as adoption grows.
- Evaluation-as-a-Service (EaaS) objectives and organizational benefits
- Standard model evaluation lifecycle design
- Defining roles, tooling, and success metrics
- Implementing pilot projects to validate EaaS readiness
- Operationalizing EaaS across the enterprise
- Scaling EaaS across the enterprise
- Clarify the governance outcomes required to enable responsible GenAI adoption at scale
- Define the objectives and scope for an Evaluation-as-a-Service (EaaS) capability
- Establish a standard evaluation lifecycle that produces comparable, defensible decisions
- Identify the roles, tooling, and success metrics needed to operationalize governance
- Leave with a pilot plan and a path to scale EaaS across teams and domains
Who Should Attend:
Solution Essentials
Facilitated workshop (interactive discussion + working session)
4 hours
Intermediate to Advanced
Virtual whiteboard and shared document workspace