The AI Control Plane for regulated enterprises.
One governed runtime for models, agents, tools, skills, and workflows — built for firms with real compliance, audit, and risk exposure. This page explains what it is, how it fits, and what you get.
A full agent platform. Every upper layer swappable.
AlphaBitCore ships Planner, Orchestrator, Agent Runtime, and a Skills & Tool Registry. Use ours, bring your own LangGraph, Bedrock, Temporal, or MCP, or mix. The Gateway and Event Stream are the non-negotiable control plane every effectful action passes through.
Effectful action.
An AI action is effectful when it retrieves controlled data, calls a tool, invokes an enterprise system, generates a regulated communication, modifies a record, triggers a workflow, or produces output that requires review, approval, or auditability. Effectful actions are what the Gateway authorizes and the Event Stream seals. Reasoning the model does in its own context is not effectful; the moment it reaches outside that context, it is.
A control plane, not a wrapper.
AlphaBitCore sits between the AI your enterprise builds and the systems that AI actually touches. Every model call, every agent action, every tool invocation routes through one place — the Gateway — where identity, scope, authority, and intent are checked before anything runs.
What's different from a typical governance layer is what comes out the other side: not a log entry, but a Proof of Execution. A cryptographically sealed certificate that binds who, under what policy, did what, with what effect, and lets you replay the execution deterministically from its event stream.
That single property — proof at runtime instead of logs after the fact — is what changes how audit, regulation, and risk-review actually work.
Unify. Govern. Prove.
Three things the Control Plane does that no wrapper, observability tool, or policy dashboard can do on its own. Each has its own page.
Unify
One runtime. Every model, every agent, every tool.
- One invocation contract across models, agents, tools, and workflows.
- One identity plane — every call carries a verifiable caller identity.
- One event surface — everything the runtime does is observable in one place.
Govern
One policy. One enforcement point. Zero ambiguity.
- Policy-as-code evaluated at the Gateway on every execution.
- Authority separation: callers can only act within explicitly granted scope.
- Denied executions produce zero effect and a sealed denial event.
Prove
Every execution produces a cryptographic proof. Not a log. A proof.
- Determinism Envelope — the unit of proof.
- Append-only, Merkle-sealed event stream.
- Deterministic replay from the stream alone.
Where the Control Plane sits in your stack.
You don't replace your model vendor, your cloud, or your data platform. The Control Plane is the governed path between your AI callers and the systems your AI actually affects.
What the Control Plane isn't.
The Control Plane shares surface area with several adjacent categories. Here's how it differs — so buyers place it on the right shelf and stakeholders don't waste cycles on the wrong comparison.
- Not an agent framework.
- Agent frameworks help you build an agent. The Control Plane governs execution across every model, agent, tool, skill, and workflow in your firm — frameworks and home-grown orchestrators included.
- Not just an orchestration layer.
- Orchestration dispatches work. The Control Plane enforces and proves policy at runtime while it dispatches — so the dispatch itself becomes part of an auditable chain.
- Not observability.
- Observability describes what happened after the fact. The Control Plane governs what happens, refuses what shouldn't, and produces a cryptographic proof of what did.
- Not governance middleware.
- Policy isn't advisory here. A denied execution produces zero state change and a sealed denial event. The policy engine is the thing that refuses bad behavior, not a description of it.
- Not a compliance wrapper.
- Compliance is a buying wedge, not the entire product story. Enforcement, auditability, and proof are infrastructure for any serious enterprise use of AI — regulated or not.
See it against your stack.
A 30-minute walk-through mapped to your current model and tool inventory, policy surface, and audit pain.