WHY HERDING CATS
AI agents are gaining access to enterprise data, tools and business systems. As they move from generating answers to taking actions, organisations need a way to control what those agents are allowed to do — before consequential actions happen.
THE CONTROL GAP
Too much happens after the fact
Monitoring can tell you what an agent did. In high-risk environments, organisations also need to control whether the action should happen at all.
Fragmented controls
Identity, permissions, policies and approvals are often spread across different models, frameworks and enterprise systems.
More autonomy
Agents are moving from assistants to actors that can change data, trigger workflows and interact with customers.
OUR APPROACH
Herding Cats is designed to sit in the agent execution path, evaluating consequential actions before they reach enterprise systems — allowing, blocking, escalating or routing them for approval.
HUMANS WHERE THEY MATTER
Regulated organisations need human oversight without turning every agent action into a manual review. Herding Cats uses policy, context and risk to focus human attention where judgment actually matters.
WHY WE’RE DIFFERENT
Runtime governance
Control actions before execution.
Risk-based oversight
Escalate decisions that need judgment.
Vendor-neutral
Govern across models, frameworks and systems.
Compliance-aware
Capture ownership, decisions and evidence.
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