Your docs, conversations, and tickets become one verified source of truth, with a receipt on every line.
The things people normally interrupt a teammate to find out. Recon answers them from your company’s verified memory, with a receipt, and tells you what’s actually true when your sources disagree.
An example, Thursday 2:14 pm
You need to know what your team decided last cycle, and why. Here is the same 46 minutes, without Recon and with it.
Without Recon
You walk in unsure, and the answer leaves with whoever knew it.
With Recon
You, in Slack:
“What did we decide about the legacy exporter, and why?”
Recon answers, with receipts
Decision on record: ship Workflows v2 this cycle, keep the legacy exporter one more cycle for migration.
Cycle planning call · Apr 9, 18:52
“We keep it behind a flag for one cycle so the enterprise scripts do not break.”
Rationale captured: three enterprise accounts still script against the old export.
#cs-accounts thread · Mar 28
“Three enterprise accounts still run nightly jobs against the old export.”
One open dispute touches this: the release notes already say it is gone.
Verdict
A shipped feature flag and live onboarding docs outweigh one release note. The legacy exporter still ships. Fix the release notes, not the workflow.
See this on your own docs, calls, and tickets.
A model only knows what your company knows. Recon is the verified record underneath, the part that makes every AI tool actually useful.
Read the thesis: the hard part of a company brain is truth, not captureOne engine for everything your company knows: features, people, decisions, promises. Verified means checkable, a receipt on every belief and a verdict on every conflict.
01
Docs, transcripts, Slack, tickets, and help desk threads from the tools you already run.
02
Usage-based pricing was approved
#pricing decision / 4 receipts
Claims become versioned beliefs, each linked to the exact line it came from.
03
When sources conflict, a deterministic layer weighs them. It never splits the difference.
04
Claude and ChatGPT over MCP. Slack and the web app read the same record.
Recon turns the noise into a verified record, learns how your team works, and acts on what changes.
01 / Sources
Your knowledge lives in docs, calls, tickets, and threads. Scattered across tools, overlapping, and often disagreeing with itself.
02 / Memory
It resolves the noise into one belief graph. Every claim links to the receipt it came from, and every contradiction is surfaced, not averaged away.
03 / Skills
Patterns in how your team repeatedly works become skills on top of the record, written down so anyone, and any agent, can follow them.
04 / Agents
When the record changes, agents move on it and recommend the next step, routed through an approval queue so nothing happens without a yes.
Connect over MCP and ask about any account mid-conversation. Reads are free on every plan.
Ask in a thread before the call. The whole team sees the same answer and its receipts.
Browse accounts, beliefs, and open disputes. Expand any receipt to its source line.
Recon reads sensitive systems so your team and AI tools can work from real company context. Reads are scoped. Writes need approval. Everything is logged.
Read the full security overviewConnection credentials use AES-256-GCM and decrypt only inside isolated runtime paths.
Every query, tool call, artifact, and MCP token stays scoped to one workspace.
Integrations start read-only. Write actions require explicit per-action approval.
Queries, tool calls, approvals, and action payloads are logged for review.
Your data is never used to train or fine-tune any model.
Sign up free, no card required. Before the next renewal, you’ll know what’s actually true, and you’ll have the receipt.