Work, described plainly
What the client needed, what we changed, and what it did. Clients are anonymised until we have written permission to name them — the details are otherwise as they happened.
- 3–4%
- Sales increase, pharmaceutical field team
- Top 500
- Global financial institution, multiple markets
Customer support answered by an agent, not a queue
Detailed product questions answered from their own documentation, on private models — because the tickets contain their customers' customer data.
Lab images turned into structured data
Results arrived as images and were retyped by hand. Now they are read, validated and traceable to the source image for accreditation.
A field sales process rebuilt, and sales up 3–4%
Reps were losing selling time to paperwork. We moved capture into the field — and most of the gain came before any AI was involved.
Market intelligence across multiple markets
Coverage was assembled by different teams and hard to compare. One governed method across every market in scope.
Own catalogue and competitors' prices in one view
Pricing decisions were made from a spreadsheet that was out of date on arrival. Now the commercial team acts on data instead of assembling it.
A voice agent that interviews candidates
We needed to screen at volume without losing signal, so we built it. Running in production on our own hiring — and the reason we can talk about voice from experience.
If one of these looks like your problem, we can be more specific in person.
A discovery session is a working conversation, not a demo. We can talk through any of these engagements in more detail, within what our clients allow us to say.