Prime Diagnostics, Prime Build, Prime Retainer.

Phase 1 discovery. Before any AI connection is made, understand your database.

Typical outcomes:

• 400+ table database fully inventoried
• Hidden relationships identified and mapped
• Data dictionary created
• Business area classification (WIP, Yield, Equipment, etc.)
• Sensitive data identified and classified
• Top 20 important tables/views documented
• Governance foundation established

This phase answers: “What do we actually have? How does it work? Where should AI focus?”

Design, build, deploy, and validate the semantic layer and governed access framework.

Typical outcomes:

• 5–7 AI-approved semantic views in production
• Complete data dictionary with business definitions
• Governance policy (read-only access, query logging, audit trail)
• Access control rules and query audit framework
• Team training (4–6 hours)
• 30-day post-launch support

Timeline: typical 10-week engagement. Actual timeline depends on schema complexity, SME availability, and organizational readiness. Exact pricing discussed after Prime Diagnostics assessment.

Continuous optimization, new capabilities, and strategic guidance.

Typical outcomes:

• Quarterly business reviews
• 1–2 new semantic views per quarter
• Performance optimization
• Governance policy updates
• Team training on new capabilities
• Slack channel for quick questions
• Custom capability development