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Evidence-required execution

AI can act. Verify it was allowed to.

GeoClear issues policy-bound Authorization and Denial records so critical systems can accept, hold, reject or escalate an AI action before it proceeds. Licensed to your enterprise and deployed inside your own cloud.

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Our mission is to let enterprises say yes to AI automation without saying yes to unchecked AI action.

Ninety seconds: why information systems and action systems need different evidence.

The challenge

Software used to produce information. Now it takes action.

For forty years the thing software handed a business was information, and a person decided what to do with it. That person was the control. They were accountable, they could be asked afterwards, and the whole apparatus of audit, compliance and insurance was built around them being there.

AI systems now approve, dispatch, transfer, provision and revoke. The person is no longer in the loop at the moment the action happens, and in most enterprises nothing took their place. The controls that exist were built for humans and for information, and they are being asked to cover machines and actions.

Nobody can answer afterwards

Which policy allowed it, on what evidence, under whose authority. Logs record that something happened, not that it was permitted.

The controls sit in the wrong place

Identity and access establish who may connect. They do not establish whether this specific action, right now, was allowed to proceed.

The question is coming

From auditors, regulators, insurers and customers. The honest answer today, in most organisations, is that there is no answer.

So adoption stalls. Not because the models are not good enough, but because nobody will sign off on letting them act.

How we solve it

Put a gate in front of the action, and make it leave evidence.

Before a consequential action proceeds, it has to present a record. GeoClear checks the policy, the authority and the required evidence, then issues an Authorization if it passes or a Denial if it does not. Your system reads the outcome and enforces it. GeoClear never touches the action itself.

Record-required execution gate A three-panel diagram: an autonomous agent action presents an operational evidence record to a verification gate, and the customer system then accepts, holds, or rejects the action. Agent action machine triggers REQUEST tool.execute presenting record Verification gate policy + evidence check RECORD REQUIRED Decision accept hold reject No valid record, no high-stakes execution.
The action presents a record, the gate checks it, your system acts on the outcome.

Six steps, from proposal to audit

verification layer flow Six-stage diagram: an actor proposes an action; the evidence path is checked against policy and approvals; an evidence packet is issued; the evidence travels with the action; the receiving system verifies before accepting; the customer retains the evidence for later audit and review. Action proposed an agent, human, workflow, tool, or system proposes an action 01 Evidence path checked policy, approval, and evidence requirements are evaluated 02 Evidence issued an operational evidence packet is issued 03 Evidence travels the record accompanies the action request 04 Receiving system verifies accepts, holds, rejects, or escalates 05 Customer keeps evidence retained for audit and later review 06
Propose, check, issue, enforce, retain, verify later.

You keep the enforcement

GeoClear issues the evidence. Your system decides to accept, hold, reject or escalate. We are not in the execution path.

Denials count too

A refusal is recorded with the same rigour as an approval. The times the system said no are usually the ones an auditor asks about.

You verify without us

Records and bundles can be checked offline, later, by someone who does not trust us and does not have to.

Where it runs

In your cloud, not ours.

GeoClear is licensed to your enterprise and deployed inside your own cloud account, on AWS, Google Cloud, Azure or OCI, in your region and under your tenancy. Your workflow, your evidence and your trust material stay inside that boundary. We are not in your audit path and we do not hold your data.

A deployment signs with its own key, held in your cloud, and issues records under its own identity. It is not our signature with your name on it, and we could not produce your evidence if we wanted to. That is what makes the record yours rather than a copy of ours.

Where GeoClear runs GeoClear is deployed inside the customer's own cloud account, alongside the customer's workflow and their retained evidence. GeoClear the company sits outside that boundary and supplies only licensed software and the material needed to verify records independently. YOUR CLOUD ACCOUNT AWS, Google Cloud, Azure or OCI. Your region, your tenancy. Your workflow the agent proposes an action GeoClear verifies and issues the record Your evidence retained and verifiable offline Your data does not leave this boundary. Verification never needs to call out of it. GEOCLEAR, THE COMPANY Licensed software Verification material Support and updates What we do not hold Your dataYour evidenceA place in your audit path Licensed to run where your workload already runs.
What sits inside your boundary, and what we supply from outside it.

Deployment happens with you as part of the engagement, not left as a download. How licensing works.

Use cases

Where an action has to be checked before it lands

The pattern is the same everywhere: something automated is about to do something consequential, and the organisation needs to know it was allowed. What changes is the workflow, and who has to answer for it.

Platform and AI teams

Agents that call tools

The problem. An agent chains tool calls faster than anyone can watch, and one of them moves money or changes state.

What changes. The action presents a record at the tool boundary. No valid record, no call.

DevSecOps

Unattended work in the pipeline

The problem. Autonomous workers merge, deploy and change infrastructure with no human in the loop at the moment it happens.

What changes. Each consequential step carries an authorization bound to the policy that allowed it.

Regulated operations

Decisions a regulator will ask about

The problem. An automated approval has to be explainable months later, to someone who was not there and does not trust your logs.

What changes. The evidence is customer-held and verifiable without calling us.

Operations and field systems

Actions in the physical world

The problem. Dispatch, routing and release decisions execute in environments that are intermittent, contested or offline.

What changes. Verification works offline, so the audit path does not depend on a network.

Connected systems

Machines acting on machine input

The problem. A system acts on a signal from another system, and the chain of authority is nobody you can name.

What changes. Authority and evidence are bound to the action, not assumed from the caller.

All use cases

Straight answers

What GeoClear does not do

Every vendor in this category will tell you what their product does. Here is the other half, because it is the half that determines whether an evaluation goes anywhere.

We do not establish that the action was right

We establish that it followed your policy and that the required evidence was present. Whether the policy is correct is yours.

We do not certify models

No claim about model correctness, safety or behaviour. The gate is around the action, not inside the model.

We do not replace your controls

Identity, access, policy engines and monitoring stay where they are. This sits at the execution boundary, after them.

We do not ask you to trust us

You hold the evidence and can verify it independently. If that were not true, the record would be worth nothing.

The maturity of each capability is stated plainly on evidence profiles, including the ones that are still direction rather than product.

Where to go next

I am evaluating this for my company

What it does, where it sits in your stack, and what it does not do.

I want to see how it works

The integration shape, the verification path, and how to check a record yourself.

I want the honest maturity

Eleven capability domains, each carrying the label it actually holds today.

I want to know who you are

Who builds this, why now, and what we are betting on.

Request an Evaluation What the evidence covers