AI Knowledge Bases and Evaluation
Build source-grounded answers and test the failure cases before a team depends on them.
Choose the deliverable your team needs. Each playbook includes a method, a worked scenario, a failure case, and a reusable prompt.
Build a Source Register for an AI Knowledge Base
A register of approved source documents.
Keep Knowledge Base Answers Within User Permissions
An access-aware retrieval test plan.
Test Whether an AI Answer Is Supported by Its Citations
A claim-to-evidence review sheet.
Build a Representative AI Workflow Evaluation Dataset
A versioned test set with acceptance criteria.
Run Regression Checks Before Changing an AI Model
A release comparison and rollback decision.
Teach an AI Assistant When to Say It Does Not Know
An abstention and escalation policy.
Get the implementation templates and estimate the economics before committing to a rollout.