Our AI work is not delivering
We have run pilots. None of them reached production, and nobody can say what they returned.
What is actually going on
Pilots stall for three reasons, usually together: no business case at real volume, no security answer, and no named owner for after launch. Underneath that, the blocker is almost always the data rather than the model. Fixing the entity resolution, the definitions, or the pipeline is what unblocks the pilot.
Who usually owns this
CIO, COO, Transformation leader
How people describe it
- "is our company ready to use AI"
- "AI pilot not moving to production"
- "measure ROI from AI projects"
What resolves it
- AI Readiness Assessment & Consulting. AI readiness assessment scoring data quality, metric consistency, governance, pipeline reliability, and AI-ready architecture. The score and the fix, in 30 days.
- Generative AI Consulting. Generative AI consultants who pick the use cases that survive production, ground outputs in your own content, and show the real cost per use before you commit.
- Managed Data Readiness Services. Managed data readiness and analytics-as-a-service: continuous metric certification, managed observability, governance operations, and AI-readiness upkeep as a monthly retainer.
- Microsoft 365 Copilot Consulting. Microsoft 365 Copilot deployment consulting: oversharing remediation, Purview sensitivity labels, governance, and adoption. Roll out Copilot safely, not just quickly.
- Data Team Enablement. Data team structure redesign, Tableau and Power BI training, and data literacy programs. Build an analytics team that operates independently.
Proof
Getting it approved
Other problems
What is actually going on
Who usually owns this
How people describe it
What resolves it
Getting it approved
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