AI Maturity Assessment

Question 1 of 7

Strategy & Executive Ownership

How clearly is AI connected to your company's business strategy?

AWe do not have a formal AI strategy.

BWe are interested in AI, but we do not have clear ownership, funding, or priorities.

CWe have identified AI priorities, but execution is inconsistent across teams.

DWe have executive ownership, prioritized use cases, funding, and a defined roadmap.

EAI is fully aligned with business strategy, investment priorities, governance, and measurable outcomes.

Question 2 of 7

Use-Case Portfolio & Prioritization

How well does your company identify and prioritize AI use cases?

AWe are still exploring where AI might help.

BWe have ideas or pilots, but they are not clearly prioritized.

CWe prioritize some AI use cases, but business value, feasibility, and ownership are not always clear.

DWe prioritize AI use cases based on business value, feasibility, risk, funding, and executive sponsorship.

EWe manage AI as a portfolio, continuously prioritizing, funding, scaling, or stopping initiatives based on measurable value.

Question 3 of 7

Data Readiness

How ready is your company's data for AI?

AOur data is scattered, inconsistent, or difficult to access.

BWe have useful data, but quality, ownership, access, and governance are unclear.

CWe have reliable data for selected use cases, but gaps remain.

DOur data is governed, accessible, secure, and connected across key systems.

EOur data foundation is trusted, secure, well-governed, integrated, and ready to support AI at scale.

Question 4 of 7

Technology & Production Readiness

How ready is your technology environment to support AI in production?

AWe do not have the technology foundation needed to support AI solutions.

BWe have basic tools, but limited integration, security, monitoring, or production support.

CWe can support selected AI use cases, but our technology environment is not yet scalable or consistent.

DWe have platforms, integrations, security, monitoring, and support practices for production AI initiatives.

EOur technology environment is secure, scalable, monitored, integrated, and designed to support AI across the business.

Question 5 of 7

Workflow & Operating Model Integration

How well is AI integrated into how work actually gets done?

AAI is not connected to our core business processes.

BAI is being tested in isolated areas.

CSome AI tools support specific teams or workflows.

DAI is embedded into important processes, systems, decisions, and handoffs.

EAI is integrated across workflows, operating metrics, decision processes, ownership models, and performance management.

Question 6 of 7

People, Skills & Adoption

How prepared is your workforce to use AI effectively and responsibly?

AMost employees are not using AI in a structured way.

BSome employees use AI informally, but without clear guidance or approved tools.

CTeams are beginning to receive training, approved tools, and usage guidance.

DAI adoption is supported by leadership, role-specific training, policies, change management, and accountability.

EAI is part of daily work, with strong adoption, responsible use, role-specific skills, governance, and continuous learning.

Question 7 of 7

Governance, Risk & Value Measurement

How well does your company govern AI and measure its business value?

AWe do not have AI-specific governance or value measurement.

BWe have basic security or data rules, but limited AI oversight or business outcome tracking.

CWe are developing policies for privacy, security, responsible use, and selected value measures.

DWe have defined AI governance, risk controls, ownership, ROI tracking, adoption metrics, and operational measures.

EAI governance and value measurement are embedded into design, deployment, monitoring, reporting, and continuous improvement.

AI Readiness Assessment

Your Details