Run your agent workforce.
With confidence.
Define specialist AI agents for real business roles. Connect their systems and supervise quality, capacity and value in production.
Define every agent role.
Give every agent a clear job, a named human owner and explicit limits for how it can work.
Capabilities
Define the skills and workflows the role is responsible for.
Owner and permissions
Assign a human owner and set access at role level.
Autonomy
Choose whether each capability suggests, drafts or completes work.
- Outcome
- Recover missed revenue
- Access
- Billing · CRM
Control agent access.
Connect agents to the tools they need while keeping access aligned with the responsibilities of the role.
Connected systems
Connect the tools and records the work already depends on.
Visible authentication
See how each connection is secured and whether it is active.
Bounded access
Limit every role to the actions and data it has been approved to use.
- S SalesforceCustomer records Read
- N NetSuiteBilling records Read
- J JiraCase hand-off Write
Keep people in control.
Let routine work move while people retain control over decisions that need judgement, approval or intervention.
Production runs
Follow work from its trigger through every step and final result.
Human review
Request reviews in the tools your team already uses, with the decision and its reason recorded.
Capability control
Reduce or pause autonomy for one capability without stopping the role.
The agent found a duplicate charge and prepared the correction.
- Source checked
- Policy matched
- Within limit
- Capability
- Draft adjustment
- Human approval
- Required
Trace every decision.
Open any run to understand what happened, who approved it and which controls were applied.
Activity
See every action taken by an agent in production.
Decisions
Record human approvals, sign-offs and returned work.
Audit trail
Track production events and governance changes in one history.
- Run completedAccount adjustment posted
- Approval recordedApproved by Maya Chen
- Policy check passedAdjustment policy v4
- Run triggeredDuplicate charge detected
Improve agents safely.
Use production corrections to improve the role without turning learning into an uncontrolled process.
Learning opportunities
Turn accepted human corrections into specific proposed improvements.
Controlled updates
Apply safe updates directly or require Aitonomy review, depending on the change.
Version history
Keep every applied change visible and reversible.
Suggested from six accepted human corrections with the same pattern.
- Current behaviour
- Stops when the account reference is incomplete.
- Proposed update
- Requests the missing reference before continuing.
Built for your stack
and boundaries.
Model choice
Use the approved model that best fits each role and capability, without locking the platform to one provider.
Tools and integrations
Connect agents to the systems, APIs and records your work already depends on.
Explicit data boundaries
Control what every role can access, retain and change across connected systems.
EU-sovereign operation
Keep deployment and data residency aligned with European requirements.
Prove quality and value.
Connect production activity to the agreed business case and keep measured results separate from derived estimates.
Quality
Track accepted work, exceptions, policy breaches, reversals and quality gates.
Capacity
Separate work completed independently from work completed with human approval.
Value
Compare measured work with the platform fee and agent fees over time.
See Aitonomy Control
on your work.
Bring one recurring workflow. We'll show how a specialist agent, human supervision and a measurable business case fit together.