A chat, an inbox, and an analytics surface — wired to your real knowledge.
Three surfaces, one pipeline. Every answer the messenger gives, every row your team sees in the inbox, every chart on the dashboard — grounded in the same retrieval and audit trail.
A messenger, not a bubble.
Opens to a Home space — recent replies, popular articles, a new-conversation card. Every answer ships with citations, a confidence badge, and an optional thumbs-up/down to close the loop on tone.
- Home → Conversation architecture, not a cold thread
- Phased thinking → retrieving → writing states
- Clarifying questions when the match is ambiguous
- Visible handoff to a named human with reply ETA
- Quick replies with proper focus states and WCAG AA contrast
Every claim linked. Every source visible.
Retrieval-first, not generation-first. When Chatified can't find a confident match, it says so and offers a human — instead of inventing a plausible-sounding answer.
The inbox your team already knows — with the receipts your last one didn't show.
Inbox, analytics, playground, connections. Every conversation has a trace — the sources it retrieved, the tools it called, the confidence it reported — visible to your team, filterable, exportable.
Inbox
Grouped by state (Needs a human / In progress / Resolved). SLA countdown and topic tag on every row.
Analytics
Volume, grounded rate, time-to-answer. Gap detection surfaces missing docs ranked by volume.
Playground
Test prompts against production sources safely. See retrieval, trace, and webhook delivery side by side.
Tools, not just docs.
Let the messenger read customer orders from Stripe, open tickets in Linear, or call any internal API — over Model Context Protocol. Every call is audited, rate-limited, and scoped per-integration.
See the gaps. Close them.
Every unanswered question is a missing doc. Chatified ranks them by volume so your content work has a clear queue.
SOC 2, GDPR, and regional residency — on by default, not behind an upsell.
Ready to ship it?
Install a script tag, point it at your docs. You'll have grounded answers before your coffee goes cold.