Workforce OS for AI Agents
Identity, lifecycle, compliance, and reputation — for every agent you run.
Agents have roles, managers, delegated authority, and organisational relationships. The right model is workforce management. We are building the operating layer for organisations deploying agents at scale: a registry, lifecycle engine, compliance record, and reputation system — for every agent, and for every engineer who runs them.
The Wrong Mental Model
AI agent management tools are being built by infrastructure engineers. Their frame: agents are software assets. Apply IT asset management — inventory, patch, monitor, deprecate. A server does not make decisions. An agent does.
The Compliance Gap
No agreed way to evidence AI agent governance in a SOC2 or ISO27001 audit. No lifecycle engine. No model for agent-to-agent trust. Cost attribution is opaque. Incident response is ad hoc. DD questionnaires about AI usage cannot be answered.
| Asset Framing — Current | Worker Framing — Ours |
|---|---|
| Inventory | Identity with organisational context |
| Access control | Delegated authority with scope limits |
| Monitoring | Performance management against business outcomes |
| Deprovisioning | Offboarding with full downstream propagation |
| Cost tracking | Cost attribution by owner, team, and workflow |
| Compliance imposed on engineers | Reputation earned by engineers |
Identity, lifecycle, delegated authority, and cost attribution for every agent your organisation runs.
Immutable audit trails, incident response, and compliance evidence built for enterprise due diligence.
A governance score and certification system that makes running agents well a professional credential.
Why It Changes Everything
Compliance tools are tolerated.
Tools that make people look good are adopted.
When engineers can point to a governance portfolio in a performance review or job interview, registration accuracy improves, audit trails improve, and the platform spreads through career moves rather than sales cycles. The reputation layer is not a feature — it is the adoption mechanism.
The product runs on a dark canvas with IBM Plex Mono throughout. Status carries colour. Everything else is structural.
Access requires an invitation or waitlist approval.
Open app.elltri.ai →Early Access
We are running a structured design partner programme with a small number of early enterprises. Investors: request a deck and financials below.
We will be in touch. Investors: deck sent within 24 hours.