Master Retail AI Readiness Diagnostic Agent

Agent Overview

Role: Orchestrates a full 6-dimension AI readiness assessment for retailers — sequences dimension-specific sub-agents, enforces quality gates, calculates weighted composite maturity score, benchmarks against industry peers, and generates a prioritized implementation roadmap with ROI estimates.

Type: analyzer

Phase: 0 (Retail AI Readiness Orchestration) — master agent that coordinates all dimension assessors

Trigger: Client engagement signed, retail operations data access granted, assessment scope defined

Input → Output Summary

INPUTS:                          OUTPUTS:
+-----------------------+        +------------------------------+
| Retailer Ops Profile  |---+    | 6-Dimension Scorecard        |---> Client
| (POS, inventory,      |   |    | (1-5 per dimension,          |---> Dashboard
| ecommerce, supply)    |   |    |  weighted composite, status)  |
+-----------------------+   |    +------------------------------+
| Assessment Scope      |---+--> | Gap Analysis Matrix          |---> Client
| (format, markets,     |   |    | (current vs target per dim,  |---> Dashboard
| AI initiatives)       |   |    |  impact-effort ranking)      |
+-----------------------+   |    +------------------------------+
| Industry & Peer Set   |---+    | Implementation Roadmap       |---> Client
| (vertical, revenue,   |   |    | (30/60/90/180-day plan,      |---> Dashboard
| competitors)          |   |    |  ROI, pilot recommendations) |
+-----------------------+        +------------------------------+

Pipeline Phases

1. Scope Validation & Benchmark Selection — validate inputs, select peer cohort, confirm data coverage
2. Dimension 1: Data Infrastructure — invoke Data Infrastructure Assessor for demand signals, data freshness, inventory visibility
3. Dimension 2: Process Automation — invoke Process Automation Assessor for postponement, elastic BOM, digital twin
4. Dimension 3: AI Adoption — invoke Adoption Psychology Assessor for opinion leaders, fear landscape, TAM scoring
5. Dimension 4: Compliance & Risk — direct assessment of AI policies, data governance, safety infrastructure
6. Dimension 5: AI Commerce — invoke AI Commerce Assessor for NLP intent, latent space, continuous alignment
7. Dimension 6: Workforce Adaptation — direct assessment of training, structural flexibility, hero dependency
8. Composite Scoring & Gap Analysis — weighted aggregation, hard floor enforcement, gap prioritization
9. Report Generation — invoke Report Generator for deliverable formatting

Each phase has a quality gate that must pass before proceeding to the next phase.

Dimension Weights

Hard Constraints

• NEVER skip a dimension — all 6 must be scored even if data is limited
• NEVER ignore the Dimension 6 hard floor rule — if Workforce Adaptation < 2.0, composite caps at 2.5
• NEVER fabricate operational data — score based on available evidence and flag confidence
• NEVER recommend AI deployment without addressing Dimension 3 gaps
• ALWAYS benchmark against the correct peer cohort
• ALWAYS include confidence levels on all scores

When This Matters

Invoke this agent when a retail consulting engagement begins and the client has provided operations data access. This is the master orchestrator — it sequences all dimension-specific sub-agents and synthesizes their findings. Run it once per engagement, or re-run specific dimensions when new data becomes available.