AI agents
Test an assistant that works through a bounded task, with access limits and human escalation.
What we would test
Evaluate completion quality, tool access, cost per task and recovery from errors.
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Focused experiments in AI, predictive systems and connected technology. Built around a question worth answering.
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Our lab is a space for scoped proofs of concept. Each experiment needs a business question, representative data and a clear decision at the end.
Data Engineering + Power BI + Automation + AI
Test an assistant that works through a bounded task, with access limits and human escalation.
Evaluate completion quality, tool access, cost per task and recovery from errors.
Model an operational process before changing it in the real world.
Compare throughput, bottlenecks and resource assumptions against observed data.
Explore patterns in historical data to support forecasting and early alerts.
Evaluate against a baseline and show the uncertainty around each prediction.
Prototype a visual inspection or classification task with representative images.
Measure false positives, false negatives and performance on unfamiliar examples.
Explore business questions through a governed data model and source-led explanations.
Check calculation accuracy, permissions and traceability back to the source.
Connect operational signals to useful monitoring and alerting.
Validate sensor quality, latency, ownership and the action each alert should trigger.
Interactive value experiment
Explore capacity released by a potential automation. Change the assumptions to see the effect.
Hours/week × reduction × 48 working weeks. Illustrative capacity, not guaranteed savings; excludes implementation, review and maintenance time.
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