Your facts live in fifteen tools. Your truth should not.
Claims are authored in Jira, Confluence, GitHub, and Notion. Context lives in CRM and call recordings. Then employees ask Claude, ChatGPT, Copilot, and agents to speak for the company. Assay connects the chain: bring facts in, approve the truth, and let every downstream surface use the current answer.
Connect sources in. Bring approved truth out.
The integration story is not one giant pipe. It is a clean chain: read the systems where facts are created, approve the truth in the graph, then deliver current language to the tools and AI surfaces that speak for you.
Product work, security proof, customer signal, and revenue context enter as structured claims with source, timestamp, confidence, and owner.
Assay does the semantic work between systems: dedupe, source, score, scope, and route. The result is not a blob of synced data. It is a defensible claim that knows where it can be reused.
The deployment-footprint claim is current, sourced to the product system, and approved for website, proposals, RFP answers, and AI agent reads.
AI apps and agents read the live claim at answer time. Publishing tools, automation platforms, and enablement systems receive reviewed updates through the right connector or bridge.
Sources, AI context, and publishing are different jobs.
Assay keeps the jobs separate so the system stays understandable. Native connectors bring facts in, AI apps ask for governed context, and publishing integrations put approved truth where teams still work.
Native source connectors
Where claims are born. Assay reads tickets, docs, READMEs, release notes, CRM fields, and call intel, then extracts commercial claims into typed nodes with source, timestamp, and confidence.
AI app and agent layer
Where employees and agents get the approved answer. Claude, ChatGPT, Copilot, and agent workflows can read live GTM truth instead of guessing from stale memory.
Publishing and automation bridges
Where the truth has to land for teams. Assay pushes approved changes to websites, CRM, enablement libraries, support docs, and long-tail workflows through native writes or automation bridges.
A connector isn't a pipe. It's a chain of custody.
Most integrations move data and forget where it came from. Assay keeps the provenance attached the whole way through, so a claim is just as defensible on the buyer's screen as it was in the ticket that created it.
One canon, connected to the stack you already run.
Your truth is scattered across a dozen tools. Wire it into one canon.
The free audit reads your public surfaces first, shows the first review pass, then keeps enriching what connected sources would put under one roof.