AI Agent Monitoring & Optimisation.
Check quality and authorisations in your agent runs. Use the outcomes to improve reliability, cost and latency.
Evaluate your agent runsThe starting
information.
- Agent instructions and permissions
- Conversations and tool calls
- Task outcomes, feedback, costs and timings
Authorised sources, connected to your operating instructions.
Quality report and intervention priorities
- Runs to investigate and their priority
- Recurring errors and quality criteria
- Optimisation opportunities to test
Prepared according to your rules and review process.
The work today
As an agent handles more tasks, reading every conversation becomes difficult. A convincing reply does not prove the task succeeded. Systematic review of runs helps identify where to intervene and which improvements are worthwhile.
What we automate
Start by monitoring completed runs: check actions against permissions and distinguish task outcome from user feedback. The workflow flags cases for review. A later phase can also analyse agent microdecisions, such as tool selection and retries, and test more efficient paths. Monitoring and optimisation have separate metrics and acceptance criteria.
The agent writes “appointment updated”, but the scheduling system returned an error. The customer says thanks. The review compares the message with the tool outcome and flags the incomplete task despite positive feedback.
Explore the structured workflowWhat you gain
A prioritised review queue, a view of errors and a reproducible baseline. For any optimisation phase, compare quality, calls, cost and latency on the same task set. Benefits must emerge from testing.
What we measure
- Detected errors and violations
- False alarms and required reviews
- Task success, run cost and latency
Your control
Review after a run cannot prevent an action already taken. Permissions, tool validation and approvals stay active during execution. Changes to the agent are tested and approved before introduction.
Where it makes a difference
IT and AI teams with existing agents that want to evaluate efficiency using traces and measurable outcomes.
Bring this workflow
into your business.
We define the sources, expected result and boundaries of a first pilot together.