You can’t launch AI support on knowledge you haven’t audited.

Hallucinations usually happen when the model can’t find a clear answer in the source material it retrieves from. Meihaku audits your support docs, tickets, macros, and notes for the gaps and conflicts that force the model to guess, then gates which intents your agent is cleared to answer. Many teams pair Meihaku as the pre-flight check with runtime tools like Cleanlab or Ada-style monitoring as the in-flight safety net.

Yes — and it’s the cleanest case to start with. Meihaku audits your support knowledge before you commit to a vendor. You’ll know in advance which intents are well-supported, which need source cleanup, and which can’t be answered safely by any agent. Most teams find the audit changes which agent they pick, because some handle gap-prone intents better than others.

Meihaku is the readiness layer that runs before and alongside AI support agents, not a replacement. Tools like Intercom Fin, Decagon, Sierra, and Maven generate answers at runtime. Meihaku audits whether your knowledge base actually supports those answers in the first place, surfacing conflicts, gaps, and ungrounded intents before they reach a customer. Most teams use Meihaku to pre-flight an AI agent rollout, then keep it running as a governance layer.

Google Drive folders containing your support policies, SOPs, macros, and FAQ docs, plus Zendesk source bundles. Intercom, Notion, Confluence, and broader helpdesk connectors are on the near-term roadmap. Meihaku connects read-only and never writes back to the source — what you see in the audit is exactly what your team approves.

No. Meihaku is complementary. Your AI agent (Fin, Decagon, Sierra, custom) still answers customers. Meihaku decides which intents are cleared for that agent to handle, with cited evidence, and exports the approved answer set. Unsupported or conflicting intents stay out of automation until your team has source evidence or a handoff path.

Yes — that’s the core workflow. Meihaku drafts cited answers from your sources, your team reviews each one with the source line attached, and only approved intents become the boundary your AI agent operates inside. Nothing reaches production until you greenlight it.

That’s the most common starting point — and exactly what Meihaku is designed for. You don’t need to rewrite anything before connecting. Meihaku reads what you have, drafts cited answers from the strongest evidence, flags gaps and conflicts, and lets your team triage them in priority order. The first audit usually surfaces the small set of intents blocking most of the customer-risk conversations.

No. Customer data is processed in your isolated workspace. We don’t train foundation models on your content, and we don’t share data across customers. Source content is processed transiently and not retained beyond what’s needed for citations.