Most teams ship workflows, agents, and knowledge bases without ever measuring quality. Then wonder why things break in production.
Alphient Prime solves this with deterministic Asset Quality Scoring across every AI asset in your portfolio.
Four Asset Segments, Scored Independently
Workflows & Agents:
- 10 metrics: Structural Integrity, Data Flow, SLA Coverage, Automation Maturity, Error Resilience, XAI Compliance, and more
- Per-agent breakdown: Config Completeness, Pattern Fit, Reliability, I/O Definition, System Integration, Observability
Skills & RAG:
- 10 metrics: Chunk Quality, Document Coverage, Vector Density, Embedding Freshness, Prompt Alignment, Index Health
- Stale index alerts when knowledge goes out of date
Ontologies:
- 5 metrics: Schema Balance, Connectivity, Domain Coverage, Relationship Density, Hierarchy Depth
- 20+ ontologies scored with downloadable reports
A-D Grading System
- A (90%+): Production-ready, well-architected
- B+ (80-89%): Good quality, minor gaps
- B (70-79%): Acceptable, notable gaps to address
- C/D (<70%): Needs significant improvement
Every score comes with a detailed rationale and actionable recommendations for improvement.
The question is not "did we build it?" The question is "is it good enough?"
Score. Grade. Improve.