Discover how ready your business is to harness Artificial Intelligence.

Take our quick 5-10 minute questionnaire to see where your organization stands, from Foundational to Transformational.

Get your personalized AI Readiness Score, our AI Readiness Checklist, and our AI Roadmap.

This assessment helps you evaluate your organization’s preparedness for Artificial Intelligence (AI). It provides a clear snapshot of your current readiness level and highlights the areas that need focus as you plan or expand your AI initiatives.

If you’ve already begun implementing AI, this assessment will help identify potential gaps, strengthen existing strategies, and ensure future projects are built on a solid foundation.

🧠 Section 1: Understanding AI & Its Impact

How would you describe your organization's understanding of AI? *

Little to no understanding

Some awareness but no formal learning

Solid grasp of basic concepts

Strong, well-informed understanding

🧠 Section 1: Understanding AI & Its Impact

How familiar are you with AI's impact on your industry?

Not at all

Limited awareness

Moderate understanding

Highly informed and tracking trends

🧠 Section 1: Understanding AI & Its Impact

How well do you understand the benefits and limitations of AI technologies? *

Not well

Somewhat

Fairly well

Extremely well

🎯 Section 2: Strategic Vision & Objectives

How clear is your AI strategy today? *

No strategy exists

Early discussions

Defined and documented

Integrated into the business roadmap

🎯 Section 2: Strategic Vision & Objectives

How aligned are your AI goals with overall business objectives? *

Not aligned

Somewhat aligned

Mostly aligned

Fully aligned

🎯 Section 2: Strategic Vision & Objectives

How effectively have you identified AI use cases? *

None identified

A few exploratory ideas

Several active concepts

Clear, prioritized roadmap

💾 Section 3: Data Readiness & Management

How would you rate the quality and consistency of your organization's data? *

Unreliable or inconsistent

Somewhat accurate

Generally reliable

High-quality and well-governed

💾 Section 3: Data Readiness & Management

How well do you manage and integrate structured and unstructured data (e.g., spreadsheets, CRM data, documents, emails, call recordings)? *

We don't distinguish between structured and unstructured data

We collect both types, but management is inconsistent

We manage both types with some integration between systems

We have unified data management and indexing across structured and unstructured data

💾 Section 3: Data Readiness & Management

How secure and compliant is your data management? *

Weak controls, no compliance

Basic security

Strong safeguards

Fully compliant and audited

💾 Section 3: Data Readiness & Management

How effectively does your organization manage and govern data across systems and teams? *

No centralized management or policy

Informal data practices, little oversight

Defined governance with some enforcement

Robust governance framework with clear ownership and accountability

💾 Section 3: Data Readiness & Management

How do you identify and mitigate potential sources of bias in your data? *

Not currently addressed

Aware of bias, but no active process to mitigate

Periodically reviewed for bias

Continuously monitored and corrected using a formal process

⚙️ Section 4: Technical Infrastructure

How capable is your current IT infrastructure for supporting AI workloads? *

Outdated, not capable

Limited capacity

Capable of pilot projects

Fully AI-ready and scalable

⚙️ Section 4: Technical Infrastructure

Have you identified any hardware or software upgrades required to support AI adoption? *

No, we haven't assessed our current environment

We've started identifying potential upgrades

We've identified specific upgrade needs

We have an upgrade roadmap with budgets and timelines

⚙️ Section 4: Technical Infrastructure

What best describes your system scalability for AI initiatives? *

Not scalable

Moderately scalable

Easily scalable

Fully elastic and cloud-optimized

👥 Section 5: Talent & Organizational Alignment

What's your team's current AI skill level? *

None

Basic awareness

Intermediate

Expert, specialized roles

👥 Section 5: Talent & Organizational Alignment

Do you have a plan to close AI skill gaps through training or hiring? *

No plan

Discussing training or hiring needs

Training or recruitment in progress

Structured, ongoing development program

👥 Section 5: Talent & Organizational Alignment

What is your organization's strategy for sourcing external AI expertise or consulting? *

No strategy, we rely solely on internal teams

We occasionally engage outside consultants on an ad-hoc basis

We maintain relationships with AI service providers for specific initiatives

We have a defined partnership strategy with trusted AI advisors or consulting firms

👥 Section 5: Talent & Organizational Alignment

How would you describe your company's culture toward innovation and new technologies? *

Resistant to change

Neutral or inconsistent

Supportive of innovation

Actively encourages experimentation and learning

⚖️ Section 6: Legal, Ethical & Compliance

How aware is your organization of AI-related regulations and standards? *

Not aware

Some awareness

Aware and tracking updates

Fully informed and compliant

⚖️ Section 6: Legal, Ethical & Compliance

Do you have defined polices or guidelines for responsible and ethical AI use? *

None yet

Informal discussion has started

We've documented some guidelines

We've implemented clear ethical AI policies across the organization

⚖️ Section 6: Legal, Ethical & Compliance

How confident are you that your organization meets all relevant privacy and data-security regulations? *

We're unsure of our compliance level

We comply with the basics, but haven't reviewed recently

We maintain good compliance practices

We're fully compliant and conduct regular audits

⚖️ Section 6: Legal, Ethical & Compliance

Have you started planning how your organization will review AI systems for fairness, bias, and accountability? *

No plans yet

Initial discussions are underway

We're developing a review framework

We have a formal review process with regular audits

🏛️ Section 7: AI Governance

Do you have a formal governance framework for managing AI initiatives? *

Not yet

We have informal guidelines

We've defined governance principles

We've implemented a complete governance framework

🏛️ Section 7: AI Governance

Have you clearly defined who is responsible for AI oversight and decision-making? *

No roles defined

Some responsibilities are loosely assigned

Roles are defined for major initiatives

Oversight roles are clearly defined and enforced

🏛️ Section 7: AI Governance

How do you monitor AI systems for ethical performance and operational reliability? *

We don't currently monitor AI systems

Monitoring happens informally or as needed

We have regular reviews or dashboards

We continuously monitor and report on performance

🏛️ Section 7: AI Governance

Are governance metrics like fairness and transparency tied to accountability for teams or leaders? *

Not yet

Occasionally considered

Regularly reported but not enforced

Fully integrated in KPIs and evaluations

🚀 Section 8: Implementation & Change Management

Do you have a documented roadmap for implementing AI initiatives? *

None yet

We're drafting one

We have a defined roadmap for select projects

We maintain a living roadmap for all AI initiatives

🚀 Section 8: Implementation & Change Management

How prepared is your organization for the operational and workforce changes AI may bring? *

Not prepared

Some preparation is underway

Generally prepared with basic processes

Fully prepared with formal change management plans

🚀 Section 8: Implementation & Change Management

What plan does your organization have for integrating AI with existing systems and business processes? *

No plan yet for integration

Initial ideas are being explored

Integration is planned for key systems

A comprehensive integration plan covering systems and workflows is in place

🚀 Section 8: Implementation & Change Management

How effectively do you manage employee adoption and training for new tools? *

We don't currently provide training

Training is ad-hoc or optional

We offer training for major initiatives

We provide structured, ongoing training and support

🤝 Section 9: Vendor Evaluation & Partnerships

Do you have clear criteria for evaluating and selecting AI or technology vendors? *

No criteria defined

Some informal guidelines

We have defined criteria for most projects

We implement detailed evaluation frameworks with scoring and review processes

🤝 Section 9: Vendor Evaluation & Partnerships

Does your organization currently leverage external partners or consultants for technology initiatives? *

No, we handle everything internally

Occasionally, for specific projects

Frequently, for larger or complex initiatives

Yes, we have trusted advisors or consultants we engage regularly

🤝 Section 9: Vendor Evaluation & Partnerships

How well do your current vendor solutions align with your AI strategy and long-term goals? *

They are not aligned with our AI goals

Some vendors partially support our strategy

Most vendor solutions align with our AI direction

All key vendors are fully aligned and integrated with our AI roadmap

🤝 Section 9: Vendor Evaluation & Partnerships

How consistently do you evaluate vendor performance after implementation? *

We rarely review vendor performance

We review occasionally or when issues arise

We conduct regular evaluations

We continuously monitor and measure vendor performance

📊 Section 10: Measuring Success & ROI

Have you defined clear success metrics and KPIs for your AI projects? *

No, we haven't identified any specific success metrics

We've discussed possible metrics, but haven't formalized them

We've defined basic KPIs for most AI initiatives

We've established detailed KPIs clearly tied to business outcomes

📊 Section 10: Measuring Success & ROI

Have you established methods for calculating and projecting return on investment (ROI)? *

We don't currently calculate or project ROI

We estimate ROI informally on select projects

We use consistent methods to calculate ROI for most initiatives

We have standardized ROI models that guide investment decisions

📊 Section 10: Measuring Success & ROI

Have you established a plan for continuous monitoring and improvement? *

We have no monitoring plan for AI performance

We review progress occasionally

We conduct regular performance reviews and updates

We continuously monitor outcomes and refine models or processes

📊 Section 10: Measuring Success & ROI

Have you established a system for regular reporting on AI performance? *

No formal reporting process exists

Reporting happens manually or irregularly

Reports are generated regularly for leadership and stakeholders

Automated dashboards or scheduled reports provide real-time insights