Platform
Most AI platforms watch. Ours enforces, then proves.
Every agent in the organization runs on the AI Control Plane: one governed runtime where every effectful action is checked before it runs and sealed after. That is what makes a team of agents deployable in a firm with real compliance, audit and risk exposure.
Where we are today
Not a roadmap. The platform the team runs on.
Everything on this site, from Helm’s plan to the signed Client Room, runs on the same Control Plane today.
The team
Thirteen agents, one control plane
Helm and the specialists run on it today. Every data call, every handoff, every document and every approval passes through the same Gateway and lands in the same sealed record.
Conductor
Engagements that stop for people
Conductor runs each client engagement and pauses for the advisor after the plan and after every wave. The pause is enforced by the platform, not requested in a prompt.
Client Room
Signed deliverables
Before a Client Room is built, every client-visible number is checked against a source. The approved bundle is signed, so the plan the client opens is the plan that was reviewed.
Where it runs
Inside the tools advisors use
Claude, ChatGPT, Copilot or your own build, plus chat, WhatsApp and SMS through Concierge. The controls sit underneath, so they are the same on every surface.
What makes ABC different
Observability tells you what happened. Provability shows it, and enforcement decides it.
Most AI platforms add monitoring: logs, traces and dashboards after the fact. That helps an engineer debug. It does not let a compliance officer approve, because nothing was stopped and nothing can be proven.
The question
Observability
Enforcement and proof · ABC
When it acts
ObservabilityAfter the fact. It records what already happened.
ABCBefore the action runs. The Gateway checks identity, scope and authority first.
What a blocked action leaves
ObservabilityUsually nothing is blocked. At best, an alert someone reads later.
ABCZero state change, and a sealed denial event that is evidence in its own right.
What the record is
ObservabilityLogs and traces: files that anyone with access can edit or lose.
ABCAn append-only, Merkle-sealed, causally ordered event stream.
Who can check it
ObservabilityWhoever trusts the vendor’s dashboard.
ABCAnyone holding the certificate, without trusting the system that produced it.
Answering an examiner
ObservabilityReconstruct the story from logs, screenshots and memory.
ABCReplay the execution deterministically from the event stream.
Proof at runtime instead of logs after the fact. Not a log. A proof.
Enforcement
One enforcement point, before anything runs.
One policy. One enforcement point. Zero ambiguity.
- Policy-as-code evaluated at the Gateway on every execution. Version-controlled, diffable and testable like any other code artifact.
- Authority separation. Callers act only within explicitly granted scope, with no ambient authority leaking across agents.
- Zero-effect denials. A denied execution produces no state change and a sealed denial event.
ASK is what makes the other two honest: the work stops and a person decides. It is how Conductor holds an engagement for the advisor.
Definition
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 inside its own context is not effectful. The moment it reaches outside that context, it is.
In practice: Beacon’s data pull, Draft’s client text, Manifest’s bundle and the advisor’s approval are all effectful, and all pass the Gateway.
Proof of Execution
Every execution produces a proof.
Not a log entry: a cryptographically sealed record binding who, under what policy, did what, with what effect, that you can replay deterministically from the event stream.
- The Determinism Envelope is the unit of proof, binding identity, scope, authority, decision, input, result and state delta into one structure.
- An Execution Attestation Certificate is issued when well-formedness and all five invariants hold, bound to the contract hash, trace root, replay-context hash and issuing key.
- Deterministic replay from the event stream alone, which turns audit from interpretation into repetition.
Why it matters
For your CCO
When a supervisor asks what happened on a client proposal, the answer is a document, not a reconstruction. That is usually the difference between a two-week inquiry and an afternoon.
For risk and audit
Audit turns from interpretation into repetition: replay the run and get the same result. Model risk reviews the decision path, not a sample of outputs.
For the advisor and client
The figures in the client’s plan trace to their sources, and the plan carries a signature. Trust in the answer stops depending on trust in the AI.
For your vendor review
The evidence does not depend on us. It is produced at runtime, inside your environment, in a form your own team can verify.
Proof of Execution supports your records program and supervisory review. It is not a designated third party, and it does not on its own satisfy SEC 17a-4 preservation requirements.
See the certificates from one real runThe builder
Everything you build is governed by construction.
Start with our team. Extend with yours. The Control Plane is not something a new agent opts into. It is the path every effectful action already takes.
Tune what ships
Point the existing agents at your models, your house view, your document templates and your policy set. The role stays. The methodology becomes yours.
Author new roles
Compose workflows, skills and MCP connectors on the same governed runtime. Days, not quarters.
Inherited, not bolted on
A new agent cannot execute an ungated effectful action, because the Gateway is the only path to one. Same invariants, same event stream, same attestation.
Policy stays central
Policy-as-code lives at the Gateway, version-controlled and testable. A team standing up an agent does not get to define its own authority limits.
No ambient authority
Callers act only within explicitly granted scope. Privilege does not leak between agents just because they run side by side.
Same evidence, everywhere
A custom agent produces the same sealed events and the same attestation the shipped ones do, so supervision needs no second review process for in-house work.
Bring the architecture questions.
The technical review tends to be the short conversation. It is the governance model that takes the time, and that is the part we like talking about.