Govern every agent. Keep every runtime.
One policy, gateway and audit plane across Copilot, Claude, Gemini and custom agents, without forcing orchestration into a single vendor stack.
View the Control Plane
See what your existing agents
cost. Control what they spend.
Track token consumption, model usage and agent activity across the AI you already run, then apply centralized usage limits and governance policies. Ekyam helps reduce unnecessary LLM processing; this page shows how to measure and control it.
Observe usage
Track model and agent activity, token consumption and cost.
Set limits
Apply token monitoring, spending caps and governance policies.
Reduce waste
Identify unnecessary calls and inefficient execution patterns.
One governance framework
for the AI you already own.
Bring first-party and third-party tools, agents and enterprise MCP servers under common policies, while preserving existing model and orchestration choices.
Multiple authentication layers
Support different authentication mechanisms across connected applications, tools and agents.
Granular permissions
Apply role, entity, environment and tool-level access controls.
Approvals and auditability
Review sensitive actions and trace answers and actions to source and policy.
Control every runtime
from one open plane.
The governance model stays consistent even when the connection and orchestration pattern changes.
Govern the definitions, not just the agents.
Own, version and approve every ontology definition before agents use it.
Owned definitions. Assign a business and governance owner to every term.
Impact before approval. See every affected tool, agent, dashboard and workflow before approval.
Versioned propagation & rollback. Propagate approved versions across runtimes with traceable rollback.
