AI
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Put AI to work.
Make work
more human.
Aitonomy builds and runs a dependable agent workforce for your organisation. This gives your people more time for judgement, relationships and the work only people can do.
Where agents fit
Your team's week
is full of work
agents can take on.
From incoming requests to record checks and system updates, agents carry recurring work through to completion. That means more gets done without adding to your team's workload. Across finance, operations, compliance, support, HR and procurement, and in product and software development.
What Aitonomy brings
Run a dependable
agent workforce.
Aitonomy combines specialist agents, a hands-on operating team and Aitonomy Control. We train each agent for your work, supervise it in production and prove the business case.
01 · Define the role
Specialist agents
Trained for your work
Each role is built around your workflows, systems, standards and expected outcomes.
02 · Run in production
Operating team
Supervised in production
We handle exceptions and improve performance as each role earns trust.
03 · Prove the business case
Aitonomy Control
A business case you can prove
Shows quality, capacity and value, and the actions and decisions behind them.
Works with your systemsAny AI modelMicrosoft 365Google WorkspaceSlackJiraYour recordsin your environment
Aitonomy Control
A dependable
agent workforce
needs control.
Aitonomy Control brings your agent workforce into full view: what is running, where people need to act, and the evidence behind every action and decision.
01
Agent workforce overview
See each agent's role, owner, access, autonomy, status and quality.
02
Human review and approval
Review exceptions, approvals and decisions that need judgement.
03
Complete action history
See every action, approval and control applied.
Built by a team with 20 years delivering complex digital systems.
The proof
How we prove the
business case.
Every agent is measured on quality, capacity and value against the agreed baseline.
Quality
Accepted first time
Track what is accepted first time and where work still needs human review.
96 %
accepted first time
82% benchmark
Capacity
Time freed for the team
Track the hours agents free up for your team.
374 h
hours freed for the team
240h baseline
Value
Return on cost
Track whether each role creates more value than it costs.
7.5 ×
return on cost
1× break-even
How we work
Build your workforce.
Prove every role.
We identify the right roles, define the business case for each and run the agents in supervised production. Proven roles expand. New roles follow.
01
Scan
Weeks 0 to 2Identify and prioritise agent roles. Set the baseline and success criteria for each.
02
Onboard
Weeks 2 to 6Connect the systems and context each role needs. Configure the agents and controls.
03
Earn trust
Weeks 4 to 8Run in supervised production. Measure quality, capacity and value.
04
Grow
OngoingMonitor performance. Expand proven roles and add new ones.
Security and compliance
Approved access.
Accountable decisions.
Every agent works inside limits a person set, stops where a person has to decide, and writes down what it did as it happens.
EU providers, not only EU regions. Agents handle personal data under GDPR, and we track the EU AI Act as it phases in through 2026 and beyond.
Sovereignty
EU sovereign
European control, jurisdiction and accountability.
Data ownership
Your data remains yours
Agents access only what they need.
Human oversight
People stay in control
People review, intervene and remain accountable.
Traceability
Full audit trail
Every action and decision can be traced.
You might be wondering
A few things teams ask us.
See all questions →What work is suitable for an AI agent?+
Recurring work with a clear outcome, enough volume and repeatable steps is usually a good fit. This includes checks, case handling, record updates and coordination across systems. We first assess the workflow, its exceptions and the potential business case to decide whether an agent is appropriate.
How do people remain in control?+
People define each agent's role, approved access and level of autonomy. Agents pause for exceptions, approvals and decisions that need judgement, with the supporting evidence attached. Every action and approval is recorded so people can review, intervene and remain accountable.
How does Aitonomy work with our existing systems?+
Agents work across the systems, data and records your teams already use, so you do not need to replace your existing technology. We connect only the approved systems and actions each role needs, while Aitonomy Control keeps access, activity and outcomes visible.
How do we start and prove the business case?+
We start with a workflow scan to identify a suitable role, then agree the current baseline and success criteria. The agent is tested on past cases before moving into supervised production. Quality, capacity and value are measured against the agreed baseline so you can prove the business case before expanding the role.
Ready when you areGet started
Let agents
take on the work.
Bring us the work that slows your teams down.
We'll identify the right roles and build the business case.