Solutions
Two products. One platform.
The core Koinoflow platform manages, scopes, and delivers your skills and processes to people and AI agents. Capture discovers them from your existing documentation. Together they cover the full lifecycle.
Core Platform
Koinoflow
Version, own, and deliver skills and processes
The foundation: a platform where every skill is governed as an operational process with a human-readable form, a named owner, full version history, and MCP delivery scoped to people and AI agents.
- Versioned skills and processes: every save creates a new immutable snapshot
- MCP delivery: Claude, Cursor, GPT, and approved agents consume the skills they can access
- Agent skill deployments: distribute a skill to all agents or selected agents
- Ownership model: every department, skill, and process has a named accountable owner
- Usage analytics: who called what, when, which version, which client, which agent
- Staleness alerts: owners are notified before skills and processes go stale
Document Discovery
Koinoflow Capture
From scattered docs to structured skills and processes
The missing piece: start with Confluence and expand into additional document sources over time. AI surfaces skill and process candidates from your existing documentation so you don't start from scratch.
- Confluence connector work in the repo today, with additional sources staged as roadmap/private preview
- AI-powered skill and process candidate extraction from existing documents
- Duplicate and overlap detection across teams
- Human-in-the-loop validation: nothing auto-published
- Full source document traceability on approved skills and processes
How they fit together
Capture feeds skills and processes into the core platform. The core platform distributes them to people and the agents that should have access. Usage events flow back into Capture for deeper coverage insights.
Existing docs (Confluence first · more sources over time)
└── Capture connector (read-only)
└── AI analysis → skill and process candidates
└── Human review + approval
└── Skill/process entity
│ ├── versioned
│ ├── owned
│ └── MCP-delivered to people + scoped AI agents
└── Usage events
└── Combined with source data
→ Coverage insights & health scoresReady to give your AI agents governed skills and processes?
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