The problems that show up after the chatbot ships.
Most teams do not fail at retrieval. They fail when a public bot invents a refund, mixes internal notes into a customer answer, or contradicts the help center. These pages walk through the live product, not a roadmap.
Solutions for chatbot hallucinations and AI source of truth
Problem pages for chatbot hallucinations, invented refund answers, and building an AI source of truth from verified, permissioned knowledge.
Stop the chatbot from making things up.
Wiki cannot guarantee no hallucinations. It requires source-backed answers, refuses when nothing is approved, and keeps unverified or internal content out of public bots.
Do not let the chatbot invent a refund.
Import the refund policy URL, verify it, keep it public-safe, attach an AI Application policy, test the question, then return a cited answer or a refusal through Wiki Connect.
Retrieval is not an AI source of truth.
Wiki Management for AI Applications decides which sources are reviewed, which collections each application may use, and when an answer must refuse.
Use cases that share the same verified source.
A support chatbot should only say what you approved.
Keep support chatbot knowledge scoped to verified public-safe collections. Refuse when there is no source, and cite answers through Wiki Connect or the Answer Playground.
Employee copilots should not see everything.
Scope employee copilots to internal collections with permission-aware retrieval. Keep public-safe knowledge and internal notes in separate collections.
One verified source for the help center and the chatbot.
Publish public docs from the same verified sources your support chatbot may use. One review workflow, two surfaces, no invented help-center answers.
Your AI is already talking.
Make sure it knows what it is talking about.