ray-consult - Assess and design enterprise AI knowledge initiatives
Diagnoses enterprise readiness and risks for knowledge bases, RAG, AI assistants, and agents, then produces an actionable architecture, selection, roadmap, and operations blueprint.
Tags
Updated: 2026-10-01Capabilities
Typical Inputs
Typical Outputs
What this skill does
- Record stated business needs
- Score GROUND readiness dimensions
- Trace needs to root causes
- Match validated failure patterns
- Rate launch feasibility
- Define conditions for green
- Design four-layer reference architectures
- Compare implementation options
- Plan phased delivery roadmaps
- Define operating roles and mechanisms
- Structure budget and TCO estimates
- Produce diagnostic reports and blueprints
Inputs
- Enterprise context
- Stated business needs
- Due diligence materials
- Interview records
- Existing system inventory
- Evidence and test results
- Diagnostic conclusions
- Budget constraints
- Organizational capacity
- Data conditions
Outputs
- Diagnostic report
- GROUND dimension scores
- Maturity level
- Feasibility rating
- Cognitive gap list
- Root-problem statement
- Validated pattern list
- Conditions for green
- Architecture blueprint
- Knowledge-unit schema
- Option trade-off matrix
- Phased implementation roadmap
- Operating role model
- Budget and TCO structure
- Next-step decisions
Requirements
- Access to SKILL.md reference files
- Evidence-backed assessment inputs
- Enterprise-scale organizational context
- Required stakeholder and system access
- Compliance information for external AI use