Case studies

What right-sizing actually saves.

Real agent stacks, routed onto the models and reasoning effort each workload actually needs. The savings are modeled honestly, and the quality bars are measured, not assumed.

70.8% lower inference cost. Quality held at a measured 100%.

AI Assist's 11 AI layers moved from all Terra · xhigh to a per-workload routing policy: 53.3% faster, 114.3% more throughput, zero points of quality lost.

financial intelligence · 11 workloads

56-57% lower cost per request. The hardest work got a better model.

The AI coach now routes every job to the right level of intelligence: Sol for complex coaching, Terra for moderate analysis, small validated models for routine work.

fitness + wellness · ai coach