Retrieval breaks
The answer exists, but AI may not find the right part. Structure, wording, and missing context can all degrade AI systems downstream.
CI for an AI-first support world
Stop shipping support content that drive AI mistakes and customer frustration
SourceSignal is CI for AI support knowledge. It helps technical writers and support teams catch support-content issues before content reaches AI support systems like Intercom Fin, Zendesk, Salesforce, Decagon, Sierra, and other support agent systems in your AI support stack.
Pre-publish QA, exact fix suggestions, and support-question testing for AI agents.
Where SourceSignal fits
A source-layer QA step before docs and support content flow into your AI support stack.
Knowledge sources
- Product docs
- API references
- Internal runbooks
- Release notes
SourceSignal
- AI-readiness checks
- Fix suggestions
- Pre-publish tests
Downstream AI systems
- Intercom Fin
- Zendesk
- Salesforce
Catch issues upstream, before bad content reaches Intercom Fin, Zendesk, Salesforce, Decagon, Sierra, and other support agent systems in your AI support stack.
Why AI support still fails in production
Source conflicts
When multiple sources say slightly different things, support AI systems surface ambiguity that customers experience as inconsistency.
Coverage gaps
Important edge cases are missing until users hit them. It usually appears later as a failed answer path, a confused assistant, or an avoidable ticket.
Too late to fix
Most tools catch problems only after content is already live or in their system. That is too late for source-layer quality control.
How SourceSignal works
01
Connect your knowledge sources
Product docs, API references, internal runbooks, and release notes.
02
Detect AI-risk issues before publish
Find contradictions, missing branches, buried prerequisites, and retrieval-hostile structure.
03
Review exact suggested fixes
See concrete recommendations for what to rewrite, split, merge, or clarify.
04
Test before it ships
Run support-question test cases and catch regressions before content reaches your AI support stack.
Built for support teams working in the AI-first world
For the people who write, review, and gate the support content that powers AI-assisted support.
Technical writers
Review and fix draft support docs before publish.
Support engineers
Surface recurring ticket failures and missing troubleshooting paths.
Docs and support leads
Set quality gates before support content reaches AI systems.
Early access
Make support content AI-ready before it ships
SourceSignal helps teams catch issues early, review exact fixes, and test support knowledge before it reaches customer-facing AI systems.