Outcomes,not decks

The problem. A multi-clinic healthcare platform was losing patients halfway through a fourteen-screen intake full of duplicate questions and manual insurance checks.

What changed. After shadowing front-desk staff, we rebuilt the flow around the few questions that actually gate triage and moved insurance checks to a background job. It shipped clinic by clinic behind a feature flag.

The problem. A logistics firm's back office ran on tribal knowledge: forty steps and seventeen handoffs, held together by spreadsheets.

What changed. Seventy percent of approvals turned out to follow predictable rules, so they now route automatically with a human on the exceptions. The rebuild took eight weeks and has run without an error since launch.

The problem. A B2B analytics startup shipped fast but kept few of the customers it won. The roadmap had eighty items and no spine.

What changed. Usage data showed one workflow drove nearly every retained account. We cut the roadmap by sixty percent to serve it, and rebuilt onboarding so new users reach it in under five minutes.

The problem. Support volume was growing faster than the team could hire to meet it.

What changed. An LLM layer now reads each ticket and drafts a reply grounded in the help centre. Anything low-confidence goes to a person, and every correction feeds the eval set. Concept to production took six weeks.