Retrieval quality
Evaluate recall, reranking, citation consistency, and failure modes on task-specific material.
EVALUATION
Assess AI against the work people actually need to do.
Define the task, then assess accuracy, handling time, exceptions and operating cost using representative work and information.
Agent reliability
Measure tool selection, argument accuracy, permission use, recovery, and outcome verification.
Workflow evaluation
Test normal, missing-data, exception, review, and failure states across the full task.
Model routing
Choose models by capability, latency, cost, privacy, and fallback behaviour.
Operational observability
Connect logs, traces, business state, and product feedback for diagnosis.
Product learning
Use real usage and review feedback to improve the workflow, not only the prompt.
START A CONVERSATION
Start with the work that most needs to improve.
Tell us how the work happens today, where time is lost, which systems you use and what needs to improve. We can then discuss scope, implementation and collaboration.
Discuss your business needs ↗