Back to productsBack to productsCADi · Agent performance, governance and accountability
Success is what happens next.
Connect agent decisions with real outcomes, complaints and human corrections. Understand where performance is drifting, what needs to change and how much autonomy the evidence supports.
A closed ticket can hide an unresolved complaint. A successful tool call can leave a mistake for someone else to repair. A fast decision can create days of additional work.
If you run an agent programme, you need to connect what your agents did with what happened afterwards. Which decisions helped? Where did people have to intervene? Did the improvement last - and who benefited?
CADi Agent brings together agent activity, business records and outcome evidence to investigate the consequences of decisions across an agent network. It examines changes in behaviour, the authority agents operate under, and where a different approach may produce a better result.
That means looking beyond the agent's own account. Complaints, bug reports, reopened cases, human corrections, successful outcomes and general feedback all help build the picture. Where customer, operational and policy interests disagree, that disagreement stays visible.
CADi Agent's design extends from historical investigation to live observation and controlled intervention. It works alongside the agent network, with authority established for specific actions and circumstances.
Link the task, the actions taken and the available evidence of what followed - including delayed feedback and human intervention.
Find recurring errors, changing behaviour and signs that apparently successful decisions are creating problems elsewhere.
Assess changes to configuration and oversight, and establish where greater autonomy or tighter control is justified.
Preserve the evidence, reasoning and limits behind each assessment. Missing outcomes and unevaluated decisions remain explicit.
Product, engineering and operations leaders who need to understand whether automation is delivering useful results - and where it creates avoidable work or harm.
Risk, governance and customer-service teams who need to explain what happened, whose interests were affected and what should change.
Bring exported agent logs or transcripts, the relevant policies, and records of what happened afterwards. Include successful cases alongside complaints, bugs, corrections and unresolved work. We establish what can be linked, what the evidence supports and what is missing.
The next step is live shadow evaluation: CADi assesses new activity and records the interventions it would make, while customer actions continue unchanged. The progression to live intervention adds execution testing and explicit authorisation for each action class. Prevention, containment and recovery are assessed separately.
A positive rating does not prove a good outcome; silence does not prove success. Causal conclusions depend on the available evidence and the assumptions of the decision model.
Historical analysis, shadow results and observed live improvements are reported distinctly. Each deployment establishes which capabilities are enabled and what evidence supports them.
Bring us a problem, a suspected opportunity or a result that does not add up. We can explore how CADi Agent could help, starting with your question and the evidence available.
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