🔍AI Strategy

AI Readiness Audit — The One‑Week Blueprint to Prioritize High‑ROI AI Use Cases

Learn a one‑week AI Readiness Audit framework to score use cases, evaluate data/infrastructure, and produce a 90‑day pilot roadmap with measurable KPIs.

ShipAI Team
January 15, 2025
8 min read

What is an AI Readiness Audit?

An AI readiness audit is a structured one‑week assessment that prioritizes 3–5 high‑ROI use cases by evaluating business impact, data readiness, architecture, compliance, and change capability. The goal is a decision‑ready roadmap that de‑risks pilots and accelerates time‑to‑value with measurable KPIs and clear success criteria.

Why It Matters Now

Organizations need maturity models to align investment with capability, making an audit a natural pillar for AI adoption strategy. This approach supports both human decision-makers and AI-driven processes by clarifying context and relationships between different AI opportunities.

A structured audit framework boosts organizational readiness around "AI adoption" and "AI pilot" initiatives, providing the foundation for successful AI transformation.

5 Assessment Dimensions

Business Impact & Value Hypothesis

Tied to concrete KPIs and constraints

Data Quality & Integration

Availability, lineage, and feasibility across systems

Technical Baseline

Platforms, orchestration, observability, and CI/CD patterns

Compliance & Governance

Privacy, policy alignment, and auditability requirements

Talent & Change Readiness

Adoption risks and change management for durable outcomes

One‑Week Agenda

1
Days 1–2

Foundation & Discovery

  • Stakeholder interviews
  • System and data inventory
  • KPI alignment
  • Constraint mapping
2
Days 3–4

Analysis & Planning

  • Feasibility scoring
  • Risk analysis
  • Architecture options
  • Data uplift pathways
3
Day 5

Delivery & Roadmap

  • Executive readout
  • 90-day pilot plan
  • Success metrics
  • Budget envelope

Deliverables

  • Prioritized use-case portfolio with ROI, complexity, and time-to-value scoring
  • Data readiness report plus governance and security considerations for each use case
  • Architecture recommendations including retrieval, model options, monitoring, and release pathways
  • Pilot plan with scope, KPIs, evaluation approach, and step-by-step rollout plan

Frequently Asked Questions

How long does an AI readiness audit take?

A comprehensive AI readiness audit takes one week, with deliverables including a prioritized roadmap and 90-day pilot plan.

What if data isn't clean?

We start with documents and existing systems, document gaps, and plan data uplift as part of the roadmap.

What are typical outcomes?

A prioritized use-case list, readiness scoring, and a 90-day pilot plan with KPIs and architecture options.

How is pricing decided for an audit?

Pricing is tailored to scope and complexity after a brief discovery to align effort with expected ROI.

Ready for Your AI Readiness Audit?

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