
The layer that authorizes, approves, and proves every critical action your AI agents take.
Know What Agents Can Do
Set clear boundaries for every agent across tools, workflows, and systems.
Stop Unsafe Actions
Require approval before high-risk actions turn into real-world changes.
Keep Proof Built In
Capture trusted evidence for every critical action your agents take.




Treat every AI agent like a real employee — a controlled identity, accountable for every action.
Who's It Acting For?
Every action ties to a real identity, so you always know who an agent works for.
What Can It Do?
Each agent acts only within the scope of permissions it was explicitly granted.
Does It Need Approval?
High-impact actions pause for human sign-off before they ever run.
Can We Prove It?
Look back at any action and verify what happened, why, and who approved it.
AI agents no longer just chat — they open tickets, ship code, call internal systems, and make payments. As banks, insurers, and enterprises hand them real authority to act, every operation now turns on one question: is this agent allowed to do this? That's exactly what we answer — defining what each agent can do, and enforcing it before it acts.
24/7
Agents act around the clock — across tools, systems, and transactions.
1
One question now gates every operation an agent runs.
0
Zero margin for an unauthorized action once agents can spend or ship.

55K
Authorized and proven — every single one.
Classic authorization only asks whether a user or service can reach a resource. We answer whether this agent — acting for a real person or system, right now — can use this tool within these limits, with approval when it matters, and proof afterward.
Identity
We don't just check a permission — we carry who the run acts for: org, human principal, agent and run id, kept intact across every layer the agent crosses.
Action
We govern the real action, not just API access — open a PR, file a Jira ticket, change an Okta policy — down to parameters, with allow, deny, or approval required for risky moves.
Proof
We leave signed, tamper-evident receipts of what was approved, ran and returned — the same control logic across OpenAI agents, LangChain, MCP servers, internal APIs and sandboxes.
Agent Health & Observability

Evaloha measures how your people and AI agents work together — who uses AI well, which agents run risky, where tokens get wasted, and which outputs carry security or compliance risk — all in one executive score.
Evaloha helps enterprises measure, govern, and optimize how humans and AI agents work together — across skill, cost, security, compliance, and output quality.
+40%
More teams using AI agents the right way.
+75%
Risky agent actions caught before they ship.
+100%
Token waste and weak output, surfaced everywhere.
Contact
Tell us about your agents — we'll show you how to keep every action safe, permissioned, and auditable.