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Agentic Control Plane
Setup in 5 minutes

Your teams are adopting agents.
ACP gives every one identity, governance, and audit.

Agents are showing up everywhere — in your SaaS tools, your custom apps, your team's side projects. Agentic Control Plane (ACP) gives every agent identity from day one, governs what they can access, and produces audit trails for every action — no matter which framework, model, or client they use.

The 5 stages of agentic AI adoption

Most companies are at stage 1 or 2. ACP gets you to stage 5 — safely.

1
Explorer
Connect public data
No auth needed. Search docs smarter instead of scrolling.
2
Builder
One tool, governed
Query your CRM with natural language. Identity and audit from day one.
3
Orchestrator
Multiple tools, one agent
CRM + compliance + PM. Complex tasks across systems.
4
Delegator
Agents call agents
Agent-to-agent delegation with trust boundaries and full chain audit.
5
Autonomous
End-to-end workflows
"Onboard this hire" — agent creates accounts, assigns training, notifies the team.

ACP provides the identity and 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 agents have a governance gap

Whether it's a human using an AI client, an agent calling your backend, or an agent delegating to another agent — most AI stacks have no way to verify who is acting, what they're allowed to do, or to produce an audit trail. The classic example is the Three-Party Problem: 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.

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
ACP solves this by providing identity and governance for every agent action — whether it's a user-to-LLM call, an agent-to-tool call, or an agent-to-agent delegation. One governance layer for your entire AI stack. How agent identity works →

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.

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.

Built for regulated industries

Healthcare
Without
Shared API keys. No way to verify which clinician accessed patient data.
With ACP
Per-physician identity binding, PII redaction, HIPAA-ready audit trails.
Fintech
Without
SSNs in prompts. No per-officer spend limits. No regulatory audit trail.
With ACP
Identity-scoped access, PII masking, per-user budgets, compliance logs.
Legal
Without
Junior associates access partner-level cases. Privilege blind spots.
With ACP
Matter-scoped access, privilege flagging, attorney-level audit trails.
SaaS & Operations
Without
Shared service accounts. No way to attribute AI actions to individuals.
With ACP
Per-user identity, usage guardrails, multi-tenant workspaces, full audit trail.

Give your agents identity and governance from day one

Identity, permissions, and audit trails — for every agent, every framework, every model. Start safe. Scale fast.