Engagement 2 · Data & AI Readiness Assessment
Data & AI Readiness Assessment
For data, AI and business leaders whose funded analytics or AI project is stuck on data access, quality or ownership.
Standard scope: one use case and one data domain with up to four source systems. Larger scopes are quoted in writing.
The plan
Use case and data domain
Select one priority use case and the data it depends on; agree success measures.
Sources, ownership and quality
Trace sources, lineage and quality; identify owners and access constraints.
Governance and architecture readiness
Access model, controls and platform readiness for the use case.
Scorecard and roadmap
Readiness scorecard, prioritized gaps, target-state principles, 90-day plan.
- Readiness scorecard with evidence
- Prioritized data and governance gaps
- Target-state principles and use-case path
- 90-day implementation roadmap
- A named use case and accountable sponsor
- A data owner for the domain
- Metadata or sample access under agreed handling
- Current platform documentation
- Production pipelines or model development
- Enterprise-wide governance rollout
- Regulatory certification
- A data platform or lakehouse foundation
- A data quality and governance sprint
- AI Production Readiness for the use case
Got an AI use case waiting on data?
Send us the use case in a sentence or two and where the data lives today. We will tell you what we would check first. Scope and price are agreed in writing before any work starts.