Discover
Align on business priorities, map the data landscape, identify critical domains, systems, stakeholders and AI use cases.
THE AI DATA READINESS SPRINT
A focused assessment for the data foundations behind your AI ambition.
In 5–10 business days, move from uncertainty to a clear view of your current state, the gaps that matter, and what to do next.
Book a 30-Minute AssessmentPHASES
Structured enough for leadership. Practical enough for delivery teams.
Assess
Review data quality, governance, metadata, ownership, lineage, architecture and BI foundations against business needs.
Design
Translate findings into a target-state data and AI architecture with clear ownership and governance foundations.
Roadmap
Prioritise actions by business impact, effort and dependencies, then sequence a practical 90-day roadmap.
IN SCOPE
What you leave with.
Current-state data landscape and system map
Critical data domain assessment
Quality, governance and ownership gap analysis
Metadata, lineage and BI foundation review
Target-state architecture principles
AI readiness findings and risk view
Prioritised 90-day roadmap
OUT OF SCOPE
What this is not.
Building or retraining production AI models
Replacing your data platform during the sprint
Long-term managed services or staff augmentation
Generic strategy without access to stakeholders and evidence
NEXT STEP