Nervora
A reference architecture and internal research build.
Operating infrastructure
Nervora
A reference architecture for a secure gateway between AI agents and enterprise systems, with identity, permissions, approvals and an audit trail.
We designed a governed execution layer between AI agents and enterprise systems. Agents never call backend systems directly; every tool call passes through a policy-aware gateway.
- Status
- Reference architecture
- Sector
- Enterprise AI
- Market
- Enterprise integration teams
What is in place today
A reference architecture and internal research build.
- A mock-first gateway reference build for enterprise agent integrations.
- Identity checks, tool permissions and approval gates are part of the reference design.
- Audit records and traces make execution decisions inspectable.
Results so far
A reference architecture we use to design agent integrations for real systems. It is built mock-first, with connectors prepared for enterprise platforms, and does not claim a production deployment.
What comes next
Discuss a concrete integration, its access requirements and the validation needed before a pilot.
The opportunity
Most enterprise AI pilots stall when they move from chat to real systems. The hard part is not generating text. It is giving agents access to tools and data in a way that a security team, an auditor and an operations manager can all accept.
The business
Reusable architecture for designing governed agent integrations. Commercial deployment and licensing are not established in the current build.
How it operates
- 01Agent requests a tool
- 02Identity checked
- 03Role permission checked
- 04Personal data redacted
- 05Approval gate for write actions
- 06Asynchronous execution
- 07Audit record and trace
Where technology works
The gateway checks identity (OIDC, prepared for Azure Entra ID), applies tool-level role permissions, redacts personal data, sends long-running jobs to an asynchronous worker, prevents duplicate execution and blocks destructive actions unless they are approved. Every decision is logged and traced.
Where people decide
People define access policies and approve destructive actions before execution.
Next steps
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