AI Readiness Assessment

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Quick Overview

The 5 Pillars of AI Readiness

Here's what we'll be assessing and why it matters

1️⃣ Your AI Plan

Do you know where and how AI will help your business? Without a clear plan, AI efforts stay scattered and expensive. We'll check if you have goals for AI and if you're measuring whether it's actually working.

2️⃣ Your Data & Tools

AI needs good data and the right tools to work. If your data is scattered or your teams are using different AI tools, you'll struggle. We'll assess whether you have organized data and standard AI tools everyone can use.

3️⃣ Your Team & Skills

Your people are your biggest asset. Do they understand AI? Are they trained to use it? We'll check if your team has the skills and confidence to work with AI, and whether you're changing jobs and workflows to take advantage of it.

4️⃣ Executing AI Projects

It's one thing to test AI, it's another to actually run it in your business. Can you move from small experiments to real projects that work for everyone? We'll see how many projects you're actually using and how well you manage them.

5️⃣ Safety & Rules for AI

AI can create risks—data leaks, bad decisions, security problems. Do you have policies about how AI is used? We'll check if you have safeguards to protect your company while you use AI.

💡 Why These 5 Pillars?

Organizations that succeed with AI have all 5 areas working together. You need a plan, good data, skilled people, working projects, and safeguards. We'll show you which areas are strong and which need attention.

Pillar 1 of 5

Your AI Plan

Do you have goals for how AI will help your business?

Q1. Does your company have a plan for using AI?

Think about whether there's a clear strategy for where and how AI fits into your business.

A. No, we're just experimenting with AI tools randomly as they come up. B. We're trying AI in a few areas, but without a formal plan. C. Yes, we have a documented plan for where we want to use AI. D. We have clear priorities for AI projects tied to business goals. E. AI is central to our strategy and we manage it like any major investment.

Q2. Are you tracking whether AI is actually helping?

Do you measure if AI is saving time, money, or improving quality?

A. We don't really track the results of our AI efforts. B. We hear success stories from teams, but don't have formal metrics. C. We measure results for some of our AI projects. D. We consistently measure and track AI results across projects. E. AI results are tracked in dashboards and connected to our business goals.

Pillar 2 of 5

Your Data & Tools

Do you have the right tools and clean data for AI?

Q3. How organized is your company's data?

Can your teams easily access the data they need, or is it scattered and messy?

A. Our data is all over the place and hard to find or use. B. Some data is available, but it's not always accurate or consistent. C. Our key business data is organized and clean enough to use. D. Our data is well-organized, trustworthy, and easy to access. E. Our data is highly organized, real-time, and built specifically for AI.

Q4. What AI tools does your company use?

Think about ChatGPT, AI assistants, or other software your teams use for AI tasks.

A. People just use whatever AI tools they find online on their own. B. We have one or two approved AI tools our teams can use. C. We have a standard AI platform everyone uses with basic security. D. We have AI tools built into our main business systems. E. AI is seamlessly built into everything we do across the company.

Pillar 3 of 5

Your Team & Skills

Do your employees know how to use AI, and are jobs changing?

Q5. How comfortable is your team with AI?

Do your employees understand and use AI tools like ChatGPT?

A. Most employees don't know much about AI or aren't interested in using it. B. A few tech-savvy people are experimenting with AI on their own. C. We're training key teams and growing AI skills in the company. D. Most employees have AI training and use it in their daily work. E. Our team is AI-fluent and constantly finding new ways to use it.

Q6. Are you changing how work gets done with AI?

Are you updating job roles and workflows to take advantage of AI?

A. No, we're not really changing how people work; it's up to them. B. We talk about AI, but jobs and processes are basically the same. C. Some teams are redesigning their work to use AI better. D. We have a plan to reshape jobs and processes around AI. E. We regularly redesign how work gets done to leverage AI better.

Pillar 4 of 5

Executing AI Projects

Can you move AI from tests to actual use across your company?

Q7. How many AI projects are you actually using?

Think about AI projects that are live and being used, not just experiments.

A. We're still mostly planning; we haven't launched real AI projects yet. B. We have a few test projects running, but nothing at full scale. C. We have a few AI projects running in real use in different departments. D. We have multiple AI projects running across different departments. E. AI is embedded throughout our operations; we manage many AI projects routinely.

Q8. How well do you manage your AI projects once they're live?

Do you monitor performance and fix problems, or just hope for the best?

A. We don't have formal processes; we just do our best to keep things running. B. We manually check on things and fix problems when they happen. C. We monitor our main AI projects and manage basic issues. D. We have formal processes to monitor, maintain, and improve our AI projects. E. We have automated monitoring and continuous improvement of all AI systems.

Pillar 5 of 5

Safety & Rules for AI

Do you have safeguards and policies for how AI is used?

Q9. Do you have rules for using AI safely?

Are there clear policies and oversight for how AI is used in your company?

A. No formal rules; we handle risks as they come up. B. We talk about AI risks, but they're not part of our main risk management. C. We have written AI policies and review major AI projects. D. AI governance is built into our risk and compliance processes. E. AI governance is a priority with automated controls and monitoring.

Q10. How do you protect data and security with AI?

Do you have safeguards to prevent sensitive company data from being exposed?

A. No clear rules; employees use AI tools however they want. B. We have some basic guidelines, but they're not strongly enforced. C. We have clear policies and training about AI use and data protection. D. We have built-in security controls in our AI tools to prevent data leaks. E. We monitor all AI use and have strong protections across all tools.

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The 5 Pillars of AI Readiness

Your AI Plan

Your Data & Tools

Your Team & Skills

Executing AI Projects

Safety & Rules for AI

Company Name

Your AI Readiness Results

Your Pillar Scores

Your Top 2 Focus Areas

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