How an agentic company actually runs — Cognis Digital's operating model, org chart, agent registry, and governance.
License: COCL 1.0 Agentic Suite
#agentic-ai #operating-model #ai-native #org-design #governance
A real, opinionated blueprint for running a company where small human teams supervise factories of AI agents. This is how Cognis Digital operates — and a template you can fork.
- 🧠
OPERATING-MODEL.md— the 4-layer agentic operating model - 🗺️
ORG.md— the new org chart (humans + agent factories + AI-native roles) - 🤖
AGENTS.md— the agent registry (roles, scopes, owners) - 🛡️
GOVERNANCE.md— human-in-the-loop, guardrails, audit & accountability - 📚
SOURCES.md— McKinsey, Berkeley CMR, MIT Tech Review, Okta, NIST
Sample result format (illustrative values — run on your own data for real findings):
{
"id": "123456",
"name": "John Doe",
"start_date": "2022-01-01T00:00:00Z",
"end_date": "2022-12-31T23:59:59Z",
"status": "IN_PROGRESS",
"priority": "HIGH",
"tags": ["tag1", "tag2"],
"created_at": "2022-01-15T14:30:00Z",
"updated_at": "2022-02-10T12:45:00Z"
}
This repo is a documentation blueprint (no CLI) — an operating model you fork and adapt.
- Get the repo:
git clone https://github.com/cognis-digital/cognis-operations && cd cognis-operations
- Start with the operating model — read
OPERATING-MODEL.mdfor the 4-layer agentic model (Governance -> Control -> Coordination -> Cognitive). - Map it to your org — adapt
ORG.md(humans + agent factories + AI-native roles) and register your agents inAGENTS.mdwith roles, scopes, and owners. - Put guardrails in place — apply
GOVERNANCE.mdfor human-in-the-loop approvals, audit, and accountability before letting agent factories run. - Keep it living in CI — commit your forked
AGENTS.md/GOVERNANCE.mdto your own repo and review them in PRs, so the agent registry and guardrails stay version-controlled as your fleet grows. Sources behind the model are inSOURCES.md.
flowchart TB
G[Governance Layer<br/>policy · risk · accountability] --> C[Control Layer<br/>guardrails · approvals · audit]
C --> O[Coordination Layer<br/>orchestration · routing · memory]
O --> K[Cognitive Layer<br/>models · tools · skills]
subgraph Humans
CEO[Founder / Chief of Agents] --- POD[Outcome pods<br/>2-5 humans]
end
POD -->|supervise| O
K --> FLEET[(uncensored-fleet + 195 tools)]
cognis-operations composes with the 300+ tool Cognis suite — JSON in/out and a shared
OpenAI-compatible /v1 backbone. See INTEROP.md for the
suite map, composition patterns, and reference stacks.
Forward cognis-operations's findings to STIX/MISP/Sigma/Splunk/Elastic/Slack/webhooks via
cognis-connect. See INTEGRATIONS.md .
COCL v1.0 — see LICENSE.