Platform · Operate
Governed AI agents that act, not just advise.
A tiered fleet of agents watches your operation, finds root cause, proposes actions and, where they have earned it, executes them, always under governance.
What it is
Most AI platforms stop at advisory: they surface an insight and leave a human or an RPA bot to act. Digital workers close the loop. Sensing agents watch the streams, diagnostic agents add root cause and business impact, optimizers propose actions, the governed executor carries them out, and an orchestrator resolves trade-offs across the fleet. Autonomy is earned from a proven track record, never switched on by default.
Sound familiar?
The work nobody signed up for.
If you have said one of these this month, the rest of this page is for you.
Our pilot agent worked in the demo. Nobody would let it touch production.
If an agent makes a bad call at 2am, whose signature is on it?
We have twelve agent pilots and not one track record anybody can read.
The agent can suggest the work order. Someone still raises it by hand.
I want it to stop for me on the big decisions and leave me alone on the small ones.
Use cases
What you would use it for, first.
Each one starts from a problem you can name, and ends with something a person can see has changed. Live means it runs in the product today; pilot means we build it with you.
- 01
A signal becomes an action, tier by tier
Live todayTodayA single all-purpose agent tries to watch, diagnose and act at once, and nobody can say which part went wrong.
With the platformFive tiers hand work along: sensing agents watch the streams, diagnostic agents add root cause and impact, optimizers propose, the governed executor acts at each agent's earned level, and an orchestrator resolves trade-offs.
What changesEach step has its own owner and its own record, so a bad outcome can be traced to the tier that caused it.
- 02
Autonomy earned from a record
Live todayTodayAgents are either fully manual or fully trusted, decided once at launch.
With the platformAgents you build or connect start advisory. Confirmed findings and approved, effective actions raise the level; a falling record lowers it automatically.
What changesThe agent stops asking about small things it has proven, and keeps asking about the rest.
- 03
Approvals that arrive decision-ready
Live todayTodayAn approval request says 'agent wants to do X' and nothing else.
With the platformEach pending action arrives with the agent's track record, the risk and a recommendation, by email or webhook, and the decision needs a written reason.
What changesApprovers decide in a minute, and their decisions feed back into the agent's record.
- 04
Workers built for your processes
Built in a pilotTodayYour highest-value process is not one the built-in fleet covers.
With the platformIn a pilot we build the first governed workers for your stack with your team, on the same tiers, levels and approvals.
What changesYour first production worker, with a track record from day one.
Business value
Where the return comes from.
The levers, and the range other organizations have published for each. Ranges are typical of the category, not a promise and not our customers' results.
Agent projects at risk
over 40% cancelled by 2027Gartner's prediction, citing cost, unclear value and weak risk controls. Governed execution addresses the third.
Gartner (via Process Excellence Network), Gartner predicts over 40% of agentic AI projects will be canceled by end of 2027 (2025)Pilots that never scale
23% scalingMost organizations are experimenting with agents; few have scaled them. Self-reported survey.
McKinsey (via CX Today), The state of AI in 2025: Agents, innovation, and transformation (2025)Human-in-the-loop at the leaders
65% vs 23%AI high performers are far more likely to have defined human validation. A correlation, not proof of cause.
McKinsey (via CX Today), The state of AI in 2025: Agents, innovation, and transformation (2025)Hours handed to workers
Routine, proven actions run without a person; the rest arrive decision-ready. Run the estimate below.
Run your numbers
Hours your people spend moving work between systems.
Every input is yours to change, and the arithmetic is shown in full. Nothing is hidden in a multiplier.
12 × 6 × €55 × 40% × 46 working weeks = €72,864
An estimate on the numbers above, not a measurement and not a customer result. In an Operations X-Ray we replace the assumptions with figures measured on your own systems.
Before and after
The same week, run differently.
An agent pilot never reaches production.
An agent reaches production at advisory, and earns more.
Approval requests carry no context.
Approvals carry the record, the risk and a recommendation.
Nobody can say which agent went wrong.
Each tier has its own record.
The work order is raised by hand after the agent suggests it.
The executor raises it once a person approves.
Capabilities
What you get.
Sensing, diagnostic, optimizer, executor and orchestrator agents hand work across tiers, so a raw signal becomes a governed action.
Agents you build or connect start advisory and are promoted only by a measured track record, with the level applied by the executor.
Actions wait for a person when the agent is advisory or the risk is high. Nothing high-risk executes silently.
Every consequential action is written to the audit log with the actor, target, risk and reason, so you can answer who did what, when, and why.
How it works
Three moves.
Sensing agents post findings from the live streams to a shared blackboard.
Diagnostic agents correlate over the graph to add root cause and business impact.
Optimizers propose actions; the orchestrator dispatches them to the governed executor, which applies each agent's earned level.
Why ours is different
The part competitors leave out.
- Governed execution and earned autonomy run in one loop, not as separate tools.
- The loop spans OT and IT, so a machine finding can drive a governed business action.
- A hard safety boundary means the fleet cannot express an unsafe plant-floor action.
Questions
Frequently asked.
Agents you build or connect start advisory; they only propose. Autonomy is earned from a track record, and high-risk actions always wait for a person, whatever the agent's level.
Yes. Non-developers author agents from a no-code blueprint, and the platform also proposes and builds agents from what it discovers.
More platform capabilities
Operations X-Ray
Put your first worker into production.
We pick one governed worker with you, start it at advisory, and show you its record as it earns trust.