A structured knowledge base your AI assistant can use
Give your AI assistant a knowledge base it can trust
Store procedures, answers, policies and product facts as structured, owned and linked records, then connect AI agents that read them through MCP or the REST API.
Built for: Support teams, operations leads, agencies and AI enthusiasts who want assistants that answer from approved company knowledge.
Sound familiar?
- Knowledge is scattered across documents, chats and people's heads.
- AI assistants confidently answer from outdated or unofficial text.
- Nobody owns an article, so wrong answers stay wrong.
- You cannot tell which answers are approved and which are drafts.
- Customer-facing and internal knowledge are mixed together.
- There is no feedback loop showing which questions the knowledge base fails to answer.
How Integram handles it
Articles as structured records
Each entry has a title, body, category, tags, owner, status and review date, rather than being an unstructured page.
Approval workflow
Draft, review and published statuses, so agents only use content marked as approved.
Audience separation with access rights
Keep internal-only and public articles in the same system but expose each to the right roles.
Links to products, customers and processes
Relate articles to the records they concern, giving agents context rather than isolated text.
A questions log
Record questions that agents or staff could not answer and turn them into new articles.
Set it up
- 1List your most-asked questions and import existing documents or FAQs.
- 2Create an Articles table with status, owner, audience and review date.
- 3Define the review workflow and who may publish.
- 4Connect an AI client to the MCP server with a role that can read only published articles.
- 5Add a questions log and review it weekly.
With an AI agent
This is the use case where the AI angle is the point. An assistant connected to the Integram MCP server or REST API can search articles, filter by audience and status, and cite the record it used. A separate drafting agent, with write access only to the drafts table, can propose new articles from the unanswered-questions log for an owner to approve. Keeping read and write roles separate keeps unreviewed text out of customer answers.
Connect an agent via MCPFrequently asked questions
Is this a vector database?
It is a structured relational database. Agents can query it through MCP or the API by category, tag, status and text. Check the documentation for the search features available in your plan.
How do I stop the assistant using draft content?
Give the agent a role that can read only records with published status, and the platform enforces it.
Can I keep the knowledge on my own infrastructure?
Yes, Integram can be self-hosted, which is useful if the content is sensitive.
Which AI clients can connect?
Any client that supports MCP, or any tool that can call a REST API.
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Your spreadsheet, working as an app, today
Start free with your own file. No credit card, no sales call. If you would rather have us build it, book a demo.