Everyone has an AI pilot. Almost nobody has a second one.
From Forty Ideas to a Twelve-Month AI Sequence
“We are not short of AI ideas. We have a spreadsheet with forty of them. What we cannot do is say which three are worth building this year.”
Every organization we walk into has an AI backlog. A CIO recently pulled up a spreadsheet with forty use cases and asked the same question we hear every quarter: which three are worth building this year. The constraint is almost never model capability. It is sequencing, data access, and who signs off.
DATA4AI runs a seven-phase engagement: (1) ambition and constraints, (2) use case inventory, (3) value and feasibility, (4) data readiness, (5) governance and risk, (6) sequenced roadmap, (7) delivery plan. Use cases are scored on value, feasibility, data readiness, integration effort, and governance load. The output is a scored use case portfolio and a twelve-month sequence, with the first build scoped tightly enough that delivery starts the week the roadmap lands.
- 70%+ reduction in physician administrative effort
- $4M in identified savings across engagements
- 80+ hours per month redirected through automation
- First build ships within the quarter after the roadmap lands
Download the full case study
Detailed methodology, results, and implementation notes as a PDF.
Let’s talk about the second pilot.
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