AI Knowledge Base
Give every team a sourced, approved answer.
Tribble answers every buyer question from what your experts already approved, with the source and owner attached.
Book a demoCalculate knowledge ROI →
Knowledge teams using Tribble include
Rated 4.7 out of 5 on G2
175 reviews, and Fall 2026 badges for ease of use, setup and admin. Source: G2.com, Inc.
What is an AI knowledge base?
An AI knowledge base answers questions from your own company sources instead of the open web. Tribble goes further: every answer shows its source and owner, respects who can see what, and goes to the right expert when nothing approved supports it.
How Tribble answers a question
Search finds pages. Tribble gives you the answer.
What each kind of tool gives you back when someone asks a buyer question.
| Tribble | Enterprise search and wikis | Enablement libraries | Response management | |
|---|---|---|---|---|
| What you get back | A governed answer | A list of pages | An asset or a play | A project and a library |
| Source attribution | On every answer | You open the document and judge | Whatever the asset says | A manual reference, if added |
| Permission aware | Checked before the answer is drafted | Whatever the index enforces | Library roles | Platform roles |
| Owner attached | Named, and routed to when uncertain | None | Asset owner | Reviewer queue |
| Available before the RFP arrives | It is the same layer either way | If somebody wrote the page | If somebody made the asset | The project starts when the RFP does |
| Learns from outcomes | Corrections, approvals and outcomes feed back | None | Usage analytics | Answer reuse |
What to look for in an AI knowledge base
Four questions separate a useful one from a search box.
Can every answer show where it came from?
Look for a source on every claim, and current evidence kept apart from stale or conflicting content.
Does it respect access and ownership?
It should only use sources the person can open, name the owner, and route anything uncertain to an expert.
Does it show up where your team works?
Slack, Teams, CRM, RFPs, DDQs and security questionnaires, with the source trail intact.
Does it learn from repeated questions?
Gaps, repeat questions and expert edits should become fixes, not the same scramble next quarter.
One answer, wherever the question shows up
Every team gets the approved answer.
A rep, SE or CSM asks in Slack or Teams and gets the answer, its source and its owner.
Everyone says the same thing.
The same approved wording in the follow-up, the RFP, the DDQ and the support escalation.
See what you cannot answer yet.
Repeat questions, stale claims and conflicts surface by team and product, routed to an owner before a buyer sees them.
The two questions this gets asked most
Security team verifying language“Is our HIPAA questionnaire language still current?”
Tribble shows the source version, the last reviewer and the approval date, with every change since. No digging through old threads.
Manager building competitive context“What have we said about Competitor X in the last 90 days?”
Positioning from recent proposals, call notes and the approved battlecard, in one cited view instead of four folders.
Built into RFPs, DDQs and security reviews
Security Questionnaires
Every answer with its policy, evidence and owner attached.
Every response carries its source, permissions, and audit trail
The same controls as the rest of Tribble.
Tuned to how each industry asks
Financial Services
Fund, risk, operating, and investor diligence knowledge. For DDQs, ODD, and investor questionnaires.
Healthcare
Clinical, privacy, security, and health system procurement knowledge. For teams answering health system and payer requests.
Enterprise Tech
Technical, security, architecture, and competitive knowledge. For sales engineers and security reviewers at scale.
See what answer hunting costs your team
Repeat questions, expert interruptions and slow ramp all cost time. See how much.
Practical guides for teams replacing response hunts
What is an AI knowledge base?
How a governed answer layer differs from a wiki, a search tool, and a content library.
Use one knowledge base across RFPs, DDQs, and security reviews.
How response teams work from a single approved layer instead of three.
Show the cost of repeat questions.
Model the hours your team loses to answer hunting, and what returns when it stops.
Questions before you roll it out
Is this replacing our RFP, DDQ, or security workflow?
No. Tribble gives your RFP, DDQ and security workflows the approved answers, sources and owners they need, and each team keeps working the way it does today.
Can teams use it inside Slack or Microsoft Teams?
Yes. People ask in Slack or Teams and Tribble answers there, and it routes anything it cannot support to the right expert in the same place.
How do we know an answer is current?
Every answer shows its source, version and owner. Sources re-sync on a schedule, and when one changes or two disagree, Tribble routes it to the owner to settle.
Where does a buyer start?
If a deadline is the problem, start with RFP, DDQ or security questionnaire automation. If scattered knowledge is the problem, start here.
How should teams evaluate AI knowledge base software?
Check that every answer shows its source, respects permissions, names an owner, routes what it cannot support, shows up in the tools your teams use, and turns repeat questions into fixes.
How is Tribble different from enterprise search?
Enterprise search finds documents and leaves you to judge them. Tribble gives you the answer, with its source, owner and permissions attached.
How does an AI knowledge base prevent risky answers?
Tribble only answers from approved sources the person can already open, shows its confidence, routes uncertain questions to an expert, keeps an audit trail, and holds stale or sensitive claims for review.
