Documents & revenue
Extraction, coding, drafting, claims, and correspondence. Low integration cost, immediate measurement, revenue that already exists but is not being captured.
The top ten AI use cases in each of fourteen industries — named, described in one line, and ready to scope. No research projects. Nothing here that is not already running somewhere in production.
Watch A hundred and forty use cases is not a plan — it is a menu. The work of sprint zero is cutting it to the two that pay back first in your organisation, and putting a number against each before anyone writes code.
Document and revenue work — extraction, coding, drafting, claims — usually delivers the most value for the least integration, so it opens the programme and funds what follows. Operations and access work comes next, once the data pipeline exists. Deep clinical and safety-critical models come last, and only with the governance already built.
Extraction, coding, drafting, claims, and correspondence. Low integration cost, immediate measurement, revenue that already exists but is not being captured.
Forecasting, scheduling, inventory, routing, tracking. Needs the operational data feed in place, and pays back in capacity you already own.
Early warning, risk scoring, safety, and deterioration models. Highest scrutiny, longest validation, and worth doing only on ground you have already proven.
A pilot on your data, against a KPI agreed before the first commit, replaces every benchmark on this page with your own numbers.