AI agent governance pilot

Govern AI agent access to your internal APIs and MCP tools.

Scalience adds policy, approvals, and auditability in front of AI-agent execution so your teams can experiment safely without losing control.

Book a pilot discussion See pilot scope

AI agents are moving faster than governance.

Teams are already connecting agents to internal tools, APIs, and MCP servers. The problem is not access alone — it is control.

  • Unclear permissions
  • Risky write actions
  • No approval step for sensitive operations
  • Weak auditability
  • Security anxiety that slows adoption

A control layer for agent execution.

The Scalience Agent Governance Gateway sits between AI agents and your executable systems.

  • Enforce policy before execution
  • Restrict risky actions by scope or environment
  • Add human approval where needed
  • Log decisions and outcomes for auditability
  • Govern both internal APIs and existing MCP servers

Start with a focused 2–4 week pilot.

Scope

1 environment, 1–3 APIs or 1 MCP server, 1 concrete use case.

Controls

Policy rules, scoped access, approval workflow for risky actions.

Outcome

Traceability, safer execution, and a clear path toward production rollout.

Built for serious B2B teams already experimenting with agents.

Fintech
Regulated SaaS
Industrial platform teams
Enterprise IT

Why teams talk to Scalience first

Governed by design

Policy, approvals, and auditability are part of the execution path — not an afterthought.

Works with your reality

Use it in front of internal APIs, existing MCP servers, and sensitive operational workflows.

Built for trust-sensitive environments

Designed for teams that cannot afford vague permissions, invisible actions, or weak traceability.

Not another agent demo. A governance layer.

If your teams already have APIs or MCP endpoints, the missing piece is often not exposure. It is control.

  • Policy enforcement
  • Approval workflows
  • Auditability
  • Enterprise-ready execution boundaries