Document Discovery
From scattered docs to structured processes
Most operational knowledge already exists, buried in Confluence, Notion, and Google Docs. Capture closes the gap between existing knowledge and usable process context.
The missing piece
Your AI is already using your documentation. We show you why that's dangerous.
Organizations have the knowledge. It's just stuck in the wrong shape: inconsistent, duplicated, invisible to AI. Capture eliminates the blank-page problem at onboarding.
Buried in tools
Confluence, Notion, Google Docs, internal wikis. All holding valuable context your AI can't properly use.
Inconsistent quality
Duplicated across teams, inconsistent in structure, invisible to AI systems, or poorly utilized when consumed.
Weeks to onboard
Teams must rewrite documentation before they see value. The blank-page problem kills adoption at day one.
How it works
Connect Confluence, see 40 process candidates in minutes
01
Connect your sources
Authorize read-only access to Confluence, Notion, or Google Drive. No migration, no changes to existing tools.
02
AI scans your documents
Within minutes, AI agents analyze your documentation to find workflows, policies, and repeated patterns.
03
Review process candidates
A review UI shows suggested processes, pre-filled and linked to source docs. Approve, edit, or reject each one.
04
Publish to the platform
Approved processes become versioned, owned, MCP-delivered entities, instantly accessible to AI agents.
Capabilities
Augmentation, not replacement
Capture works alongside existing documentation, not instead of it. Your Confluence stays, your Notion stays. Capture just makes them useful to your AI agents.
Connect to existing sources
Secure, read-only integrations with Confluence, Notion, and Google Drive. No migration required, nothing moves.
AI-powered analysis
AI agents scan documents to identify step-by-step workflows, repeated operational patterns, decision logic, and frequently referenced procedures.
Process candidate surfacing
"This looks like a deploy process." "These 3 docs describe the same workflow." AI highlights high-signal documents and suggests structure.
Human-in-the-loop validation
Nothing is auto-published. Teams review, edit, and approve before a process enters the system. Humans remain the source of truth.
Source document traceability
Every approved process links back to its original source documents, and every usage event links back to the source for deeper coverage insights.
Duplicate detection
Detect overlapping or conflicting documentation across teams before it causes AI agents to give contradictory guidance.
Extended value
Without Capture, Koinoflow answers: "What processes do we have?"
With Capture, it also answers:
- "What processes are we missing?"
- "What knowledge are our AI agents ignoring?"
- "Where is our operational knowledge inconsistent or risky?"
- "Which high-traffic documents have no structured process?"
Instant insight moment
Connect Confluence. See 40 process candidates in minutes.
Same-day win
A CTO can show their team results on day one. No weeks-long rollout.
Incremental adoption
Teams onboard one process at a time. No big-bang migration required.
Be first in line when Capture launches
Request early access and we'll set up a private preview for your team.