AI READINESS DIAGNOSTIC

Strategy & Use Case Clarity

We have clearly defined the business problems AI should solve

We know which departments or workflows would benefit most from AI

We have prioritized AI use cases based on business impact, not hype

We understand what success would look like if AI worked well

We have identified what should NOT be automated or delegated to AI

Budget & Cost Awareness

We understand AI costs go beyond simple subscriptions

We have considered usage-based costs like tokens or API calls

We have budget allocated for training, implementation, and iteration

We understand how employee usage impacts AI cost

We have a plan to measure ROI before scaling AI

Employee Reality Check

We know where employees lose the most time daily

We have asked employees about repetitive or manual tasks

We understand where teams are creating workarounds

Employees feel comfortable sharing inefficiencies or frustrations

We know which roles would benefit from AI first

Leadership & Adoption Readiness

Leadership understands how AI will impact workflows

Leaders are aligned on how AI should be used

Managers are prepared to guide their teams through AI adoption

Leadership reinforces AI usage and adoption consistently

We have identified internal AI champions

C-Suite Alignment

Our executive team agrees on why AI matters to the business

We have defined AI priorities for the next 6–12 months

We understand the risks of scaling AI too quickly

We have discussed governance, risk, and accountability

AI decisions are made strategically, not reactively

Data Readiness

Our data is clean and accurate

Our data is accessible across systems

We have addressed duplicate or inconsistent data

We know where our most valuable data lives

We trust the data used for decision-making

Process Readiness

Our core workflows are documented

Processes are followed consistently across teams

We know which workflows need improvement before automation

We focus on solving root problems, not layering fixes

Our operations can scale without breaking

Security & Governance

We have clear guidelines for AI usage

We understand risks of using public AI tools

We have policies for sensitive or proprietary data

We know who approves AI tools and workflows

We monitor AI usage and compliance

Training & Upskilling

Employees receive role-specific AI training

Training is based on real workflows, not theory

Employees understand when to use AI vs. not

Teams share what is working and what is not

We are actively building AI confidence across the organization

Measurement & ROI

We have defined measurable outcomes for AI initiatives

We track time saved or efficiency gains

We track revenue or cost impact from AI

We regularly review AI performance

We can clearly connect AI usage to business results

Get Your AI Readiness Score

Enter your email to see your score and where your business may be most at risk.