Technology
Data Foundations Sprint
Find out whether your data is ready for AI, and fix what isn't.
The problem
AI and automation projects stall or fail to pay back when the data, processes and ownership underneath are not ready.
How we approach it
We start with the data and the decision being improved, then sequence delivery so each stage can be checked before the next is funded.
What you receive
- 1
A scoped plan with stage gates
- 2
Working artefacts agreed at each stage
- 3
A handover your own team can operate
Frameworks
Our work on this initiative is structured by these frameworks.
Data Foundations for AI: data first, then AI at scaleRelated programs and research
No approved program or research is linked to this initiative yet.