Case study · CDMO
A CDMO turned a $20,000 build into $264,000 a year
Quote requests were arriving faster than one scientist could answer them.
Every quote pulled the same scientist off the bench. The stoichiometry, the ChemDraw, the literature search, all of it landed on one person. Turnaround slipped, and a slow quote loses work in a market that runs on speed.
We put the quoting and the search behind it on an Agentic OS. The agent runs the math and the lookups, and the scientist reviews and signs. Quotes that used to take hours come back the same day.
The numbers, measured over the first year
- Faster quote turnaround: $90,000 recovered
- Scientist hours reclaimed: $150,000
- ChemDraw and literature tooling saved: $24,000
That is $264,000 in year one on a $20,000 build, and roughly $760,000 over three years. Because the agents kept context between quotes, the work got faster every week instead of starting cold each time.
CDMO. $264,000 first-year saving. $20,000 build. About $760,000 over three years.
Where this fits
This is the build behind our work with CDMOs. It started as a single quoting workflow and has room to grow into a full Unified Agentic AI System. An AI Audit is how we would find the same first workflow in your operation.
15 min. 5-day written diagnosis. No deck.