Real problems. Real builds. Real numbers.

How to read these

Most agency case studies are written to make the agency look inevitable. These are written to be useful to someone deciding whether a similar build is worth funding, which means they include the parts that were harder than expected.

The challenge, before we touched it

What the workflow actually cost the business — in hours, in headcount, or in customers who left. If a case study opens with the technology rather than the problem, it's usually hiding the fact that nobody measured the before.

The approach, including what we ruled out

Which architecture we picked and why — single agent versus multi-agent, RAG versus fine-tuning, where a human stayed in the loop. The rejected options are often more instructive than the chosen one.

Results with baselines attached

A percentage with no starting number is a decoration. Where we report a change, the before and after are both there — 14.2 hours of unplanned downtime a week down to 9.8, not just “31% better.”

The stack, so you can price it yourself

Every build lists the models, orchestration, and infrastructure it runs on. If you want to estimate what the equivalent would cost you to run, the cost estimator takes it from there.

Want to know whether a build like one of these would work on your data? Book a 20-min scoping call →