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Private AI Readiness Assessment
Private AI Readiness Assessment
Typical deliverables include a deployment recommendation, architecture sketch, risk/cost analysis, and prioritized next steps.
2 - 3 weeks
Current-state assessment
Data sensitivity analysis
Candidate use cases
Local/cloud/hybrid recommendation
Executive summary
Best for organizations asking:
Where can AI provide value?
What risks should we avoid?
Which use cases are worth pursuing?
AI Infrastructure Strategy
AI Infrastructure Strategy
Helps leadership understand tradeoffs between cloud APIs, cloud GPU rental, hybrid deployment, and owned infrastructure.
2 - 4 weeks
Architecture options
Cost model
GPU sizing
Vendor evaluation
Deployment roadmap
Best for organizations asking:
Local, cloud, or hybrid?
Rent, lease, or buy?
What infrastructure do we actually need?
Private and Verifiable AI Pilot
Private and Verifiable AI Pilot
Designed to prove value with a constrained workflow before committing to larger infrastructure or implementation work.
4 - 8 weeks
Working prototype
Evaluation metrics
Validation workflow
Operational recommendations
Go/no-go decision package
Best for organizations asking:
Can this work with our data?
Can we trust the outputs?
Is this worth deploying?
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