AIRA — AI Readiness Audit
From AI Questions to an Actionable Plan
AI readiness is more than having the right technology. It requires the right combination of business opportunity, data, people, processes, governance and economics.
PCP-AI's Artificial Intelligence Readiness Audit (AIRA) is a structured four-week assessment designed to give leadership the evidence needed to make informed AI investment decisions.
AIRA answers three fundamental questions:
- 01
Where can AI create meaningful value?
- 02
Are we ready to capture that value?
- 03
What should we do next?
AIRA Process
From AI questions to an actionable plan in 4 weeks
- WEEK 1
Align
Frame the Business Decision
We establish what matters before evaluating technology.
- Define the business problems and opportunities
- Establish scope, objectives and success measures
- Identify decision-makers and accountable owners
- Inventory existing AI initiatives, tools and experimentation
- Align on the decisions AIRA needs to inform
DeliverableAIRA Assessment Charter - WEEK 2
Assess
Understand Your Current State
We examine how the business runs and what AI requires.
- Review priority workflows and processes
- Assess relevant data, systems and technology
- Evaluate existing AI tools, pilots and usage
- Identify organizational, data and capability gaps
- Develop an evidence-based map of potential AI opportunities
DeliverableReadiness & Opportunity Map - WEEK 3
Evaluate
Determine What Is Worth Pursuing
Initiatives are weighed on value, feasibility, readiness and risk.
- Run a bounded evidence test on the top candidate
- Evaluate expected economics and business impact
- Assess data and technical feasibility
- Identify implementation, governance and operational risks
- Classify each initiative:ProceedPrepareRepairStop
DeliverableAI Opportunity Portfolio - WEEK 4
Mobilize
Turn the Findings Into Action
We convert the assessment into a prioritized, executable plan.
- Finalize leadership recommendations
- Prioritize initiatives based on value, feasibility and readiness
- Define ownership, controls and success metrics
- Identify immediate capability and data requirements
- Establish near-, medium- and longer-term priorities
- Build a practical 30/60/90-day action plan
DeliverableExecutive AI Roadmap
The AIRA Hard Gate
Some Risks Should Outweigh the Score.
A high readiness score does not automatically mean an AI initiative should proceed.
A critical unresolved risk, no accountable business owner, no measurable path to value, or no viable data path can override the weighted assessment.
This prevents an attractive score from becoming a justification for an investment that the evidence does not support.
What You'll Know—and What You'll Do Next
At the conclusion of AIRA, your leadership team receives a clear, evidence-based view of:
- Your AI Readiness
- where your organization stands today
- Your Readiness Gaps
- what must be strengthened across data, technology, people, processes and governance
- Your Best AI Opportunities
- the use cases with the strongest potential to create business value
- Your Risk Exposure
- the operational, data, technology and governance issues that could undermine success
- Your Priorities
- what to pursue now, what requires preparation and what should not move forward
- Your Investment Sequence
- near-, medium- and longer-term initiatives based on value and feasibility
- Your 30/60/90-Day Plan
- specific actions, owners and priorities for getting started
- Your AI Roadmap
- a practical path for moving from readiness to implementation and scale
The Outcome
AIRA doesn't simply tell you whether your business is ready for AI. It gives you the evidence to decide where to invest, what to fix first, what not to pursue—and a practical roadmap for turning the right AI opportunities into measurable business value.