AI Readiness
Assess whether the data and platform foundations are ready for enterprise AI
SAB Consulting reviews the data, search, infrastructure, security, evaluation and operating foundations required to move an AI use case from experimentation to production.
What we assess
- Business use case and decision criteria
- Source-data quality and access
- Search and retrieval requirements
- Model and hosting options
- Infrastructure capacity
- Security and permissions
- Evaluation framework
- Observability and cost control
- Integration dependencies
- Operational ownership
- Deployment and change process
- Production-risk controls
What you receive
- Readiness scorecard
- Dependency and risk map
- Architecture options
- Data and platform gaps
- Prioritized roadmap
- Recommendation on whether to proceed, redesign or delay
Frequently asked questions
Does this assessment select a model vendor?+
It can compare model and hosting options, but the main objective is to determine whether the surrounding production system is ready.
Is this suitable for an early idea?+
Yes, when the organization needs to decide whether the use case is viable before committing to a larger build.
Related services
Start with a focused assessment
Share the platform, cost or reliability problem you are trying to solve. SAB Consulting will help define the right assessment, the evidence required and the practical next step.