Build an AI Assistant Knowledge Base From Trusted Sources
Inventory authoritative documents, identify owners and review dates, and resolve outdated or conflicting copies before adding material.
Practical guides to building, connecting and improving your AI assistants.
Inventory authoritative documents, identify owners and review dates, and resolve outdated or conflicting copies before adding material.
Trace inconsistent replies to source conflicts or vague instructions, change one cause, and rerun the same prompts to assess the fix.
Build a fixed test set for common, ambiguous, missing-source, and handoff requests, then agree on expected behavior before launch.
Define what the assistant may explain, which decisions require a person, and how to test refusals and handoffs against real policy.
Match customer languages with reviewed sources and staff capability, then prepare one natural test question and a fallback for each language.
Prepare accurate industry, service, location, and team context, then have the accountable business owner approve every customer-facing claim.
Review the editable creation draft, verify business details and role boundaries, test expected behavior, and distinguish creation from saving edits.
Replace a generic greeting with a concise expectation and a useful invitation that stays aligned with the assistant’s actual role.
Separate behavioral rules from company facts, define a practical response pattern and stop condition, then test ambiguity and escalation.
Choose a tone that fits the audience, test routine and apologetic replies, and keep factual standards and commitments unchanged.
Keep an assistant purpose focused on one customer outcome, align it with role controls, and test whether real questions fit the promise.
Specify the audience, permitted support tasks, exclusions, and stop conditions, then test both a valid request and a tempting out-of-scope one.