Follow the action.
Trace agent activity, tool calls, and errors. Build an audit trail that turns autonomous actions into evidence your team can review.
Observability + audit evidence
AI agent governance + FinOps
Know what your AI agents do, what they can access, and what they cost. Agent Loom brings your AI workforce into one independent control layer.
Built for small and mid-sized teams adopting AI agents.
Our founding principles
Independent of agent builders
Humans keep the final say
Costs belong beside outcomes
02 / The control layer
From model providers and internal agents to MCP tools and business apps: bring activity, permissions, and spend into the same conversation.
An agent inventory connects the dots between owners, tools, access, and activity. Start with the question every team should be able to answer: who is doing what?
The questions that matter
Trace agent activity, tool calls, and errors. Build an audit trail that turns autonomous actions into evidence your team can review.
Observability + audit evidence
Make permissions visible, surface risky behavior, and define where human approval belongs before an agent takes a consequential action.
Governance + human oversight
Bring agent costs and business outcomes together. Understand where spend goes and which workflows deserve more investment.
FinOps + business impact
A baseline, not a badge
The Agent Readiness Score is designed to turn gaps in visibility, permissions, and cost tracking into a practical improvement plan. Share progress—not unsupported claims of safety.
03 / Choose your scope
Compare the available plans and choose the right fit for your team’s agent footprint.
For individuals getting started
$0/month
Your next move
You don’t need another place to build agents. You need a clearer picture of the ones already working for you.
Visibility. Boundaries. Better decisions.