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Agentic Control Plane
Setup in 5 minutes

Your business apps are getting AI.
Agentic Control Plane makes them work together — securely.

Every app you use is adding its own AI assistant. Agentic Control Plane (ACP) connects them, governs what they can access, and coordinates across all of them — so your AI works as a system, not a collection of chatbots.

The 4 stages of agentic AI adoption

Most companies are at stage 1. ACP gets you to stage 4.

1
Explorer
Connect public data to your AI
No auth needed. Search wikis and docs smarter instead of scrolling pages.
2
Builder
Connect a single tool to AI
Query your CRM with natural language. One integration, real value.
3
Orchestrator
Connect multiple tools to AI
CRM + compliance + project management. Complex tasks across systems.
4
Autonomous
Agents run workflows end-to-end
"Onboard this new hire" — agent creates accounts, assigns training, notifies the team, and logs every action.

ACP provides the governance layer you need at every stage.

Start for free →

People are already using this

Real scenarios. Real roles. One AI assistant connected to the systems they already use.

Sales Leadership
Any critical incidents right now?

The AI pulls from the ops system and CRM. It flags a $340K account at risk and drafts an email to the technical account manager.

Sales Operations
Generate a response to this RFQ

The AI pulls certs from the compliance portal, references from the CRM, and capacity from the project system. RFQ responses drop from 11 days to 20 minutes.

Customer Support
When does this order arrive?

Stock availability, order status, account history — answered in seconds. And the system only shows data the person asking is authorized to see.

See what it's like to talk to your business data

Switch roles to see how identity, permissions, and governance shape every interaction — enforced server-side on every tool call.

Choose a role

Each role maps to real scopes and ABAC claims. The gateway enforces access — not the LLM.

Governance Events

Your AI has a blind spot

Today's AI stacks have a three-party problem: the user, the LLM, and your backend. The user authenticates with the LLM — but when the LLM calls your tools, it forwards a shared API key. Your backend has no idea who made the request. Identity is lost, and nobody can enforce policy, attribute cost, or audit who did what.

The User Has identity, roles, permissions JWT The LLM Knows the user Forwards with shared API key API key Your Backend Can't verify who called Can't filter, enforce, or audit Identity is lost between the LLM and your backend

How ACP solves this:

User Authenticated LLM Calls tools Bearer token Agentic Control Plane Identity & access control PII detection & redaction Policy & rate limits Full audit trail x-user-uid Backend Verified identity Every request is verified, scoped, and attributed to a real user
An Agentic Control Plane solves this by sitting between the LLM and your backend — verifying the user's identity, enforcing policies, and forwarding every request with verified user context. One governance layer for your entire AI stack.

Coordinate your CRM, ERP, and business data with AI

Connect your business systems to any AI model — with identity, permissions, and audit trails built in. Multi-model, open source, deployed in minutes.

OpenAI · Frontier Platform 2025
At a major manufacturer, agents reduced production optimization from six weeks to one day. A global investment company freed up 90% more time for salespeople to spend with customers.
OpenAI launched Frontier with explicit permissions, auditable actions, and governance built in
Microsoft · AI Governance Report 2025
80% of Fortune 500 companies are using active AI agents — most without governance.
Microsoft launched AI Foundry and Copilot Studio governance controls to address the gap
CSA + Google Cloud · State of AI Security & Governance 2025
"Governance maturity is the single strongest predictor of secure, scalable AI adoption."
Google urges a "full-stack, AI-driven approach to security"

What you get

Who accessed what, and when
Every AI tool call is tied to a real user. Enforce scopes, roles, and ABAC policies per tool.
Cost and usage guardrails
Set per-user rate limits, cost budgets, and agent guardrails. Prevent runaway usage before it starts.
PII protection, automatically
Detect and redact PII in inputs and outputs. Block requests that exceed risk thresholds.
Multi-tenant
Isolate teams into workspaces. Each tenant gets its own connectors, policies, users, and audit log.
Works with every AI client
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Built-in connectors. Custom APIs. One URL.

Start with pre-built connectors for popular services, or point ACP at any HTTP API and it becomes an MCP tool — with auth, validation, and audit built in.

GitHub
Repos, issues, PRs, code search
Salesforce
Records, queries, objects
Slack
Channels, messages, threads
Jira
Issues, projects, boards
Confluence
Pages, spaces, search
Linear
Issues, projects, teams
Notion
Pages, databases, blocks
HubSpot
Contacts, deals, companies
Google
Drive, Calendar, Gmail
Custom APIs
Any REST endpoint, your schema

Custom connectors are defined in the dashboard — point to any URL, define the input schema, and ACP handles authentication forwarding, SSRF protection, and request validation.

Set up in minutes, not months

1
Create a workspace
Sign in with email or Google and pick a slug for your team.
2
Connect your login system
Link Google, Okta, or any identity provider. ACP verifies your users automatically.
3
Enable connectors
Turn on GitHub, Salesforce, or add custom API endpoints from the dashboard.
4
Give AI the URL
Point any MCP client at your workspace URL. Identity, governance, and audit are handled.

Give your team AI — without the risk

Identity, permissions, and audit trails from day one. Start safe. Scale fast.