Govern Agents and Models

Build every agent on one governed platform

Models, MCP servers, agents, and user permissions managed from one central control plane, so you can be confident in every AI deployment.

Trusted by global teams connecting data and AI at scale
GSK
Palantir
Anthropic
Office Depot
Google
Current State

Every new agent, model, and tool is another thing to govern

Teams adopt AI faster than anyone can wire it together. Every model provider, MCP server, and agent brings its own keys, permissions, and audit trail, and the sprawl compounds.

Without a Platform

Every agent wired to everything

Native MCP diagram
  • Separate keys, config, and auth per connection
  • Policy drifts tool to tool; no shared audit trail
  • Cost compounds unmetered; every change means re-plumbing
With One Governed Platform

Everything through one control plane

One governed layer MCP diagram
  • One identity model, one place to set permissions
  • One policy engine and one audit trail across all of it
  • Register once; swap a model or add a system with no re-plumbing

One control plane. Register once, govern consistently.

Models, tools, and systems register on the same platform, under one identity model and one policy engine, so every team builds on the same surface.

Register every model once.

Register providers with the Model Gateway and route each request with failover and token budgets. Add or swap a model once, and every team's agents can use it, with no re-plumbing when a cheaper model arrives.

routing rules
failover
token budgets
Model providers · registered 6 providers
PROVIDER ROUTING ON
Anthropic · Claude default
OpenAI · GPT fallback
Google · Gemini low-cost
Mistral standby
failover: on token budgets: set

Govern hundreds of systems and tools with confidence

One policy engine, one shared context layer, with identity and access enforced for every user and agent.

01 One control plane

Manage every policy in one place.

Identity, access, cost caps, guardrails, and audit policies all live in one central console and apply to every interaction. A new agent inherits the org’s rules the moment it points at the platform.

02 Shared context

One context engine, every agent.

The Context Engine and Semantic Context Graph give every agent the same governed definitions and company knowledge, and the self-learning loop improves them as teams build.

03 One audit log

Every action, one trail.

Every model call, tool invocation, and data access is logged to one audit trail, so who did what, through which agent, against which system is always answerable.

What standardizing on one platform gets you

Govern once, ship without rebuilds, and get the same behavior across every system.

One policy, inherited by every agent
Org policy · inherited 3 agents
AGENT INHERITS ON
Support agent identity · cost · audit
Finance agent identity · cost · audit
Sales agent identity · cost · audit
policy set once applied everywhere

Central policy through the shared gateway controls, identity, cost, guardrails, and audit.

One layer, exploration to production
EXPLORE question answered
ask join answer
PRODUCTION same layer, scoped tool
tool validate run
Promoting a question is a tool definition, not an integration project.

One platform served both modes in the benchmark, over the same live connections.

Accuracy across systems, one platform vs point tools
CData, every system
98.5%
MCP gateway, CRM
95%
MCP gateway, proj mgmt
50%
iPaaS, ERP
40%

CData internal benchmark, 378 queries across CRM, project management, warehouse, and ERP.

A two-person team, shipped in under a week

TCW Global built a production AI agent on Claude, through Connect AI's MCP server, across multiple core systems, with a two-person team, in under a week once the data layer was in place. The platform carried the connectivity, context, and governance the team would otherwise have assembled.

“People are really excited. I was looking at the questions being asked yesterday and I was blown away by the range of things people wanted to know—and the agent was answering them.”
Halle Davis
Director of Apollo, TCW Global
Read the TCW Global case study

Under a week to build

Once the data layer was in place, on one managed platform.


Two-person team

No platform team required to stand up the stack.

FAQ

Questions teams ask about standardizing.

Standardize your org on one governed platform.

One control plane across models, MCP servers, agents, and the systems underneath, govern once, ship fast, swap freely.