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REGENTIC.AI FOR GOVERNANCE

Platform forAI governance

Govern all your agentic AI. On any framework and model

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Many agents. Nowhere to govern them

  • Fragmentation

    Agents from different providers, each in its own system, with no common point.

  • Opacity

    What an agent does ends up in logs that only a specialist can read.

  • Regulatory risk

    Without traces or evidence, demonstrating AI Act compliance is not feasible.

  • Opaque cost

    Model consumption grows with no control by agent or by use case.

Team reviewing the organisation's inventory of AI agents

INVENTORY

You know what AI you have and what it does

  • Living inventory of agents
  • Knowledge bases and integrations
  • Per-agent keys, anti-impersonation
Nothing is left off the map
Professionals defining control rules for the agents

CONTROL

Rules that enforce themselves

  • Deterministic engine, no LLM at run time
  • Thresholds for cost, latency and sensitive data
  • First warn, then block
Cost and risk, contained
Manager reviewing the compliance evidence

EVIDENCE

Compliance backed by proof, not paperwork

  • AI Act evidence from real data
  • Reports sealed with SHA-256
  • Explained in natural language
You can prove it

Connect. Observe.Govern

A single control plane for all your agentic AI

How it works

Your agents, on any framework and model

It integrates through each agent's own channel, without touching it. Open standards: no vendor or protocol lock-in

Frameworks

  • LangGraph
  • CrewAI
  • LlamaIndex
  • MS Agent Framework
  • OpenAI SDK
  • Google ADK
  • Claude SDK

Cloud

  • Bedrock AgentCore
  • Vertex AI
  • Azure AI Foundry

Low-code

  • n8n
  • Copilot Studio
  • Dify
  • Make
  • Zapier

SaaS suites

  • Agentforce
  • ServiceNow AI Agents
  • SAP Joule

Models

  • GPT
  • Gemini
  • Llama
  • Mistral
  • + your own agents

Connects through

  • OpenTelemetry
  • MCP
  • REST API
  • Python
  • A2A
The service: we implement it with you