Agents without
governance
are a liability.
ACL is the control plane for production AI agents. Cryptographic identity, policy-gated execution, immutable audit — built on open standards, ready for HIPAA from day one. The kind of governance your auditor will actually trust.
What ACL is, in three sentences.
“We already have an
agent platform.”
Most “agent platforms” treat agents like API calls — static keys, no identity, no enforcement. That's not governance. Here's the difference.
Orchestrate any process with AI agents.
Multi-agent workflows with typed contracts between agents, human gates at every meaningful decision, and an immutable audit trail of every step.
A clean control surface for the people who run it.
No CLI. No learning curve. Operators get a single page with what they manage, how things are going, and what needs their attention — and the compliance number their auditor will ask about.
Tenant Dashboard
A six-agent sales pipeline,
running today with full audit.
Our flagship BDR workflow takes a campaign brief and produces personalized outbound, with human review at every meaningful decision. Every prospect scored, every email drafted, every approval granted — permanently recorded.
The five specs the industry needs. We wrote them.
Other platforms run on proprietary APIs. We publish the protocol so any platform can implement it — your agents are never locked in. Specs at github.com/acontrollayer/agent-control-specs.
Run ACL as your own product.
Custom domain, logo, and brand colors. Hierarchical tenants with full data isolation between clients. Per-client billing and break-glass support — every entry logged.
Hard limits.
Not suggestions.
Every workflow run can carry a cost ceiling. When the next tool call would exceed it, the agent stops — or escalates to a human for approval.
Agent budgets are enforced at the tool call level — before the tool executes. If the estimated cost of the next action would push the run over its ceiling, the tool doesn't run and the workflow halts.
Budgets can also be configured to pause and route to a human-in-the-loop gate rather than stopping cold — giving operators the choice between hard stops and supervised continuation.
70+ integrations. Every one governed.
Every integration is available to every agent as a type-safe tool call — governed by the same Gatekeeper, recorded in the same audit trail.
Frequently Asked Questions
An Agent Control Layer is infrastructure that provides governance, identity, and policy enforcement for AI agents in production. It operates as a control plane—owning configuration, permissions, and observability—while execution remains in your existing runtime like LangGraph, CrewAI, or custom code.
A runtime (like LangGraph or CrewAI) handles how agents execute—managing prompts, tool calls, and orchestration logic. A control plane manages what agents are allowed to do, which resources they can access, and how their behavior is audited. This separation mirrors how Kubernetes orchestrates containers without replacing Docker.
Traditional IAM systems handle users (humans) and services (deterministic code). Agents are a new principal type—they make autonomous decisions at machine speed with probabilistic behavior. They need cryptographic identity, granular permissions per agent, and complete audit trails of every action they take.
Human-in-the-Loop is an architectural pattern where agent workflows can pause execution to request human approval before taking sensitive actions. A proper HITL implementation includes approval queues, reviewer routing, state persistence during the pause, and timeout handling.
LangChain and CrewAI are agent frameworks—they help you build and run agents. AControlLayer is a control plane—it governs, secures, and observes agents built with any framework. You use both together: your framework for execution, ACL for enterprise-grade management.
Five layers between the internet and your data.
Defense in depth, the way it's actually supposed to work. No single failure gives up your tenant's data — multiple independent enforcement points have to break at the same time.
Four guards. Every agent. Every action.
These run on every workflow, cannot be disabled per-agent, and log every decision to the immutable audit trail.
Every decision made by The Gatekeeper, Sentry, Bouncer, and Medic is recorded in the immutable audit trail — including what was blocked, why, and which agent triggered it.
Watch the compliance check run.
Want the full technical picture — identity specs, the Five-Layer security model, compliance policies, and every integration?
Read the platform overview →Apply to the Design
Partner Program.
We're opening a small design partner program for our MVP. Founder-level support, half-off pricing for life, and direct roadmap influence. Limited to 5–10 companies.