THE CONTROL PLANE FOR ENTERPRISE AI
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Watch the 40-Second Story
THE PROBLEM
Your AI agents are multiplying. Your controls are not.
Organisations cannot clearly see which agents exist, what data they access, which tools they can call, or the actions they are authorised to perform.
THE SOLUTION
Bring every agent into formation.
Herding Cats provides one independent governance layer across models, cloud providers, frameworks, MCP servers, and enterprise tools.
LIVE PRODUCT DEMO
Discover every agent, monitor policy enforcement and identify actions requiring human attention.
Illustrative environment · Acme Financial Group
“Observability tells you what happened.”
“Governance determines what was allowed to happen.”
GOVERNANCE GRAPH
Trace every relationship across models, data, tools, credentials, policies and enterprise systems—and understand the boundary applied to each connection.
“Policy determines when an agent must stop.”
“Human judgement determines what happens next.”
HUMAN APPROVAL
When policy requires human judgement, the action pauses and resumes only after an accountable decision.
“A decision is only accountable when it can be proven.”
“Every governed outcome becomes evidence.”
GOVERN ANYWHERE
MODELS & AI PLATFORMS
AWS Bedrock
Microsoft Azure AI
Google Vertex AI
AGENT FRAMEWORKS & PROTOCOLS
LangGraph
CrewAI
Semantic Kernel
OpenAI Agents SDK
Model Context Protocol
ENTERPRISE SYSTEMS
ServiceNow
SAP
Workday
CLOUD PLATFORMS
AWS
Microsoft Azure
TRY THE VERY SERIOUS GOVERNANCE SIMULATOR
Now scale that to hundreds of enterprise AI agents. That’s Herding Cats.
Autonomous does not mean uncontrolled.
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Herding Cats — The Control Plane for Enterprise AI Agents