Solutions
AI Automation
Automate the step that costs the most, and measure whether it worked.
We look for the expensive step — the one eating hours of skilled attention — and automate that. Everything is measured against a baseline taken before the agent existed, so the improvement is a number rather than a feeling.
Baseline first
Two weeks of instrumentation before any agent code, so improvement is provable.
Human in the loop
Agents draft and people approve until the approval rate is boringly high.
Cost control
Token spend, latency and failure rates monitored like any other production metric.