Source-linked answer assistant and admin console

Reduce manual search time while keeping every answer traceable to its source. For support and operations teams answering questions from connected company documents and communication tools, convert connected documents, chat history and website content into source-linked answers with named-owner review. The benefit is a testable hypothesis, measured through answer acceptance rate per support hour and corrections after publication; do not assume that AI output alone produces business value.

Confirm the buyer's problem and scope, collect connected documents, chat history and website content, then follow this sequence: 1. Connect Google Drive, Slack, Notion and website sources. 2. Sync connected data on a schedule. 3. Extract, chunk and index PDFs, slides and pages. 4. Answer questions with semantic, keyword and hybrid retrieval. 5. Show source citations and links beside each answer. Resolve uncertain cases with qualified reviewers, approve source-linked answers with named-owner review, and measure answer acceptance rate per support hour and corrections after publication against a documented baseline.

How the AI works

Use AI to interpret permitted inputs, suggest structured mappings and generate candidate answers for the stated task modules. Use deterministic code for arithmetic, schema validation, permission checks and reproducible tests. Review source-linked explanations and uncertainty before accepting results. One approved source set and permission model; final policy and customer-facing answers remain human-reviewed. A model suggestion is never a verified fact, professional decision or authorization to act.

Safeguards

Preserve source attribution, quotation accuracy and usage permissions. Named owners approve substantive answers and publication scope. One approved source set and permission model; final policy and customer-facing answers remain human-reviewed. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.

What to build first

Pilot scope: One approved source set and permission model; final policy and customer-facing answers remain human-reviewed. Implement one approved input format, a bounded representative question set and the first two task modules: connect Google Drive, Slack, Notion and website sources; sync connected data on a schedule. Support the third module with operator review: extract, chunk and index PDFs, slides and pages. Include source citations, corrections, basic organization access, approval states, export and value measurement. Use managed operator assistance for unresolved exceptions. The cost estimate covers this narrow prototype, not unrestricted multi-tenant scale, complex production integrations, specialist certification or physical operations.

What it can connect to

Google Drive, Slack, Notion, website crawlers and permitted internal sources. Cloud storage, chat platforms and publishing destinations. Start with file exchange and validate destination specifications before promising direct publishing. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.

The screens in detail

Primary screens: Connected sources and permissions, Answer workspace, Admin console and logs. Use a source list with sync status, a central question-and-answer canvas with inline citations, and a right-hand panel for review state, confidence and comments. Let users compare draft and approved answers side by side. Display draft, changes requested and approved states. Provide a client-facing embed preview with comments anchored to the relevant answer. Make the task-specific outcome source-linked answers with named-owner review visible beside its evidence, review state and value baseline.