Risk.
An algorithm suspends a courier’s account or cuts a driver’s pay, and nobody with the authority to change the outcome looked at it first.
// Use Cases
Put AI to work where accountability matters.
Blocking AI isn't governance. Start with a task your team wants to hand to AI or to an algorithm, and the limits it needs. These examples show how Athena's controls apply.
// Use case
Human-reviewed decisions about workers.
Athena.
Hold the decision for a named person who has the information the system used and the authority to change it, before it takes effect. Record the reasons given to the worker.
Evidence.
Who decided, when, on what information and what was sent to the worker.
Typical workflows: Account suspension, deactivation, pay adjustments and dispatch restrictions.
// Use case
Prevent sensitive-data leakage.
Risk.
A useful contract review sends confidential terms to an unapproved model. A support reply exposes a customer record. The work is routine; the information is not yours to share freely.
Athena.
Check data routed through the connected boundary before it leaves. Apply your rules for content, model and destination, then allow, redact or block the request.
Evidence.
What the boundary observed, what it removed, the configured destination and the rule it applied. This does not establish downstream handling.
Typical workflows: Contract review, data-room analysis, customer-support assistance, research, coding assistance and document summarisation.
// Use case
Control copilot and agent actions.
Risk.
An assistant has permission to prepare a refund, but submits it instead. Or it repeats a tool call that should run only once.
Athena.
Check the submitted call against its permissions and required approvals at the connected gate. Block it when a required check fails and record the reported outcome.
Evidence.
What was proposed, whose authority applied, what was approved, what was allowed or refused and what was observed at execution.
Typical workflows: Tool-using assistants, autonomous task execution, procurement, record updates, email delivery and API-driven operations.
// Use case
Govern payments, claims and refunds.
Risk.
Your team approves a payment, but cannot show whether the submitted amount and recipient matched that approval.
Athena.
Limit the data sent to the model and the actions it can request. Where policy requires approval, hold the connected payment step for a named person and record the check.
Evidence.
Source-data decision, authority, approval, amount, recipient, policy result and observed outcome.
Typical workflows: Insurance claims, supplier payments, refunds, account adjustments and exception handling.
// Use case
Control code and production changes.
Risk.
A coding assistant meant to prepare a change runs a command against production. Your team needs a boundary between suggesting the change and releasing it.
Athena.
Set permitted tools and targets at the connected action point. Require approval for designated changes and record the submitted command, reported result and any observed recovery.
Evidence.
Systems touched, credentials mediated, command or API call, approving authority, control result, observed change and recovery action.
Typical workflows: Code generation, pull requests, infrastructure changes, CI/CD actions, configuration changes and production support.
// Use case
Govern customer communications and regulated decisions.
Risk.
An assistant sends a customer a draft that nobody approved, or includes confidential information in its response.
Athena.
Check routed source material and outgoing content. Where policy requires it, hold the connected release for a named approver and record what the receiving system reports.
Evidence.
Data used, service involved, responsible person, content approved, action taken and resulting record.
Typical workflows: Customer replies, claims correspondence and regulated notices.
// Use case
Produce audit and regulatory evidence.
Risk.
An auditor asks what happened in one workflow. Your team has to piece together the answer from logs, screenshots and people's recollections.
Athena.
Collect records at the connected control points and export them for independent review. Show which checks they support and where evidence is missing.
Evidence.
A reviewable chain from policy and authority to event, control decision, observed outcome, integrity check and coverage statement.
Typical workflows: Internal audit, regulatory reporting, customer assurance, incident investigation, insurance review and board reporting.
// Use cases
Buyer pathways.
Business leadership: Which useful task is waiting for clearer permissions or accountability? Start there. For algorithmic decisions about workers, such as suspension, pay or dispatch, start with Algo Assurance.
CISO and risk: Which data or tool boundary needs a control? Start with one path you can connect and test, then identify what remains outside it.
CIO and CTO: What must be true before this workflow reaches production? Agree the integration, permissions and acceptance tests with the teams who own them.
Compliance and audit: Could you answer a reviewer's question about one decision today? Identify the required records, who will check them and what they cannot prove.
// Use cases
Best-fit environments.
Athena is best suited to financial services, insurance, government, critical infrastructure, healthcare, professional services, technology, digital labour platforms and other regulated or trust-sensitive organisations.
A strong first deployment has one commercially useful workflow, one named business owner, one technical boundary, one material risk and measurable acceptance criteria.
// Use cases
Choosing the first workflow.
Bring a real workflow and the question you need answered. We will agree the modules, integration, acceptance tests, timetable and price in writing.
The workflow should have a clear value, a defined failure consequence, a known data or action boundary and an outcome that business, security and compliance teams can inspect together.
Start with one real workflow.
Choose a valuable workflow that needs stronger control or a provable human decision. We will agree the relevant Athena modules, integration boundary, evidence limits, acceptance tests, timetable and commercial scope in writing.