Cloud Infra, Data & AI Platform
AI Readiness Assessment
An assessment that turns scattered AI experiments into a plan for a governed production platform.
AI Readiness Assessment reviews the data, use cases, and technical foundation behind an organisation's AI ambitions, and identifies what is missing between a demonstrated pilot and a workflow that can run in production. The assessment covers data quality and access, the retrieval and grounding approach, and the governance and evaluation practice needed before Azure OpenAI Service and Azure AI Search are put in front of real users.
Work modules
- Data and use case reviewReview the data sources and candidate use cases, and identify where data quality or access would block a production deployment.
- Technical foundation assessmentAssess the retrieval, grounding, and evaluation approach needed to move a use case from demonstration to production on Azure OpenAI Service and Azure AI Search.
- Roadmap and recommendationSet out a prioritised path from the assessed use cases to a governed production platform.
What you receive
- A written assessment of data readiness and technical gaps against the intended use cases
- A prioritised roadmap for moving from pilot to production
What changes for the business
- A clear view of what stands between the current pilots and a production-ready platform
- A prioritised path the practice team can act on instead of a repeat of the same open-ended pilot
