Companies built systems to manage employees –identity, permissions, accountability, audit. Enterprises will require the same governance for AI agents.
WorkingAgents is the infrastructure that makes autonomous agents trustworthy enough to run real parts of a business.
What We Have Built
The governance and control layer between AI agents and the systems they interact with. Three gateways, one control plane:
- Unified LLM Routing –Control which models agents use and how they access them
- Agentic Workflow Control –Define, supervise, and enforce how agents take actions
- Enterprise MCP and A2A Tools Access –Connect agents to internal tools with least-privilege permissions
Users and agents need a natural language interface to internal and third-party systems –not more dashboards, not more APIs to learn. Agents inherit the user’s access control, so they can only see and do what the user is allowed to. No separate agent permissions to manage. One identity, one set of rules.
Every action has a paper trail. Every agent has defined permissions. Every decision is auditable. Compliance and speed are no longer in conflict.