AI Agents That Turn Tettra Into a Real Q&A Engine
AI agents that answer team questions from your Tettra wiki, surface stale pages, draft new docs from recurring questions, and turn tribal knowledge into searchable knowledge.
80% of repeat questions answered from Tettra instead of Slack DMs
Teams running an AgentTeams agent on Tettra stop being walking encyclopedias.
Tettra has the answers. Slack still gets the questions.
Knowledge bases only work when people use them. Most don't, they DM the senior person instead.
Of repeat questions go to Slack
Even with a wiki, people ask in chat because asking is faster than searching. Senior teammates become the knowledge base.
Of pages are stale
Old runbooks, outdated policies, half-written docs that nobody flagged or removed. Search returns them, trust drops, fewer people search.
Per senior teammate per week
Lost to repeat questions in DMs. Senior people become the bottleneck for knowledge that's already written down.
How it works with Tettra
Three steps to an AI team member that works alongside you in Tettra.
Connect Tettra
Connect your Tettra workspace via OAuth. The agent appears as a member with whatever permissions you grant.
Wire it into Slack
Most teams pair Tettra with Slack. The agent answers in Slack threads with quotes, summaries, and links straight from your Tettra wiki.
Let it work
Q&A and stale-page detection run from day one. Put page drafting behind an approval gate while you build trust; loosen it as the quality holds up.
Everything you need for Tettra that gets used
From Q&A to page maintenance to drafting, your AI agent makes the wiki useful again.
Q&A from your wiki
Answers team questions in Slack or chat with the right Tettra page quoted, summarized, and linked. Senior teammates stop being the search engine.
Page reading and summarization
Pulls a page, summarizes it, extracts the relevant section. Onboarding docs become a two-minute briefing instead of a 30-minute read.
Stale-page detection
Surfaces pages not touched in months, owners who left the company, or sections contradicted by newer docs, so the wiki stays trustworthy.
Page drafting from recurring questions
Spots questions that get asked repeatedly with no good Tettra answer. Drafts the page, suggests an owner, opens it for review, turning a question pattern into a doc.
Category and link maintenance
Keeps categories tidy, suggests labels, and surfaces pages that should link to each other but don't. Less manual wiki gardening.
Permission-aware
Respects Tettra's existing page and category permissions. The agent only sees what its account is allowed to see, same as a human teammate.
What teams use it for
Concrete examples of Tettra agents in production today.
Slack questions answered from Tettra
An engineer asks 'What's our on-call escalation flow?' in #engineering. The agent finds the Tettra page, summarizes the relevant steps, and links the source. No more 'Has anyone got this written down?', it just answers, in seconds.
Onboarding without DMs
New hires ask the agent setup questions for their first week. It walks them through the docs, points to the right runbooks, and answers grounded in what your team has already written. Senior teammates stop being interrupted twenty times a day.
Spotting documentation gaps
The agent watches what gets asked in Slack vs what's in Tettra. When a question recurs without a good wiki answer, it drafts a new page from the conversation, suggests an owner, and surfaces it for review, turning gaps into docs.
Frequently asked questions
Things people commonly ask before deploying an AgentTeams agent in Tettra.
How does the agent connect to Tettra?
Through Tettra's OAuth flow. The agent gets its own member account with permissions you scope per category. Every action is attributed to its name in the activity log.
Does it overlap with Tettra's existing AI features?
They layer well. Tettra's built-in AI is great for in-Tettra search and summarization. AgentTeams brings the same intelligence into Slack, Help Scout, and your other tools, so the wiki gets used wherever your team actually works, not just inside Tettra.
Can it write to Tettra or only read?
Both. The agent can draft and update pages, manage categories, and post page comments. You decide which actions need approval and which it can do autonomously.
What plan does Tettra need?
Any paid plan. The agent uses Tettra's standard API, available on all paid tiers. The free plan works for evaluation but has lower API limits.
How does it handle conflicting or out-of-date pages?
It uses recency, last-edited date, and verified-by-owner status to weight current docs over stale ones. You can also tag pages explicitly, and the agent will prefer the current set when answering questions.
Ready for an AI teammate in Tettra?
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