Asset Quality

Asset Quality Scoring

Deterministic Quality Analysis Across All Assets

Every workflow, agent, skill, knowledge graph, and ontology is continuously scored across multiple quality dimensions. A-D grading with detailed rationale, improvement recommendations, and downloadable reports.

Health Dashboard

Asset Health at a Glance

Four asset segments scored independently — workflows & agents, skills & RAG, knowledge graphs, and ontologies.

Four Segments

Every Asset Type, Scored Independently

Workflows & Agents

10 workflow metrics: Structural Integrity, Data Flow, SLA Coverage, SLA Feasibility, Automation Maturity, Error Resilience, XAI Compliance, Capability Mapping, Metric Coverage, Gateway Completeness. Plus per-agent scores across 8 dimensions.

Skills & RAG

10 quality metrics: Chunk Quality, Document Coverage, Embedding Freshness, Index Health, Prompt Alignment, Query Coverage, Skill Completeness, Source Diversity, Usage Effectiveness, Vector Density. With stale index alerts.

Knowledge Graphs

Graph-specific quality dimensions covering entity coverage, relationship completeness, semantic consistency, and structural integrity across all knowledge graph assets.

Ontologies

5 ontology metrics: Schema Balance, Connectivity, Domain Coverage, Relationship Density, Hierarchy Depth. Per-ontology scoring with downloadable reports for 20+ ontologies.

Workflow Scoring

10-Metric Workflow Quality

Every workflow is scored deterministically across 10 dimensions. Each metric has a clear rationale and improvement recommendations. Per-agent scores break down quality at the individual agent level.

  • Structural Integrity & Data Flow

    Node connectivity, path completeness, I/O mapping, data dependency tracking, and type safety validation.

  • SLA Coverage & Feasibility

    SLA definition coverage, threshold configuration, feasibility assessment, and escalation path validation.

  • Automation & Error Resilience

    Agent coverage, pattern configuration, retry logic, fallback paths, error handling, and circuit breakers.

  • XAI Compliance & Mapping

    Explainability config, decision tracing, audit trails, business alignment, and architecture fit.

Grading

A-D Quality Grading System

Clear, actionable grades with improvement recommendations for every asset.

Grade A (90%+)
Production-ready Well-architected All metrics passing
Grade B+ (80-89%)
Good quality Minor gaps Quick fixes available
Grade B (70-79%)
Acceptable Notable gaps to address Review recommended
Grade C/D (<70%)
Needs improvement Significant gaps Not production-ready
Features

Quality Intelligence Features

Score Rationale

Every score comes with a detailed explanation of why and how to improve. Expand "Score Details" to see exactly what is driving each metric up or down.

Recommendations

Actionable improvement suggestions per workflow and per agent. Identify missing fallbacks, unresolved dependencies, and configuration gaps automatically.

Downloadable Reports

Download full quality reports per asset or across the entire portfolio. Export-ready for governance reviews, audit documentation, and stakeholder presentations.

Stale Index Alerts

Automatic alerts when skill RAG indices or knowledge graphs become stale. "Consider rebuilding" warnings ensure your agents always use fresh knowledge.

Refresh on Demand

Re-score any asset or the entire portfolio with one click. Deterministic scoring means consistent, repeatable results every time.

Portfolio Overview

See all four segments at a glance with colour-coded health bars. Identify the weakest assets instantly and prioritise improvement efforts.

Know the Quality of Every Asset

See how deterministic quality scoring ensures your AI assets are production-ready.

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