Organizational AI Readiness Survey

maxCount

mostPicked

countA

countB

countC

countD

countE

As a strategic priority tied to enterprise outcomes

As a tool for improving efficiency and reducing costs

As a support function to help managers and employees adapt

As an innovation experiment in selected areas

As something to observe, but not act on yet

Q1. How does leadership currently frame AI in learning?

Executive sponsors are driving enterprise-level AI strategy

Leadership supports efficiency projects, but not tied to big-picture goals

Leaders encourage pilots where employees need support

Some leaders are backing isolated pilots, but no unified approach

Leadership is cautious or skeptical; little visible support

Q2. How engaged are senior leaders in sponsoring AI-enabled initiatives?

Fully integrated across LMS/LXP, HR, and analytics platforms

Integrated for operational efficiency (chatbots, automation, content curation)

Selective tools used mainly by managers and teams

Piloting stand-alone AI tools in different departments

Q3. How integrated are AI-powered tools with your existing learning systems?

They are actively enabling and scaling adoption

They focus on maintaining efficiency and compliance

They enable specific team use cases but not enterprise scale

They allow pilots but prefer a “wait and see” approach

They are reluctant or resistant to AI adoption

Q4. How confident is your IT/security team in scaling AI solutions?

Using business-aligned KPIs like time to competency and revenue per learner

Tracking operational metrics like completions and cost savings

Using surveys, manager feedback, or anecdotal observations

Experimenting with new metrics in pockets of the business

Metrics are limited or not linked to AI adoption

Q5. How do you measure the impact of learning today?

Seamlessly integrated; executives see learning impact in real time

Data integration is focused on efficiency and cost metrics

Data exists but is fragmented across HR, L&D, and managers

Pilots generate useful data, but it’s siloed and inconsistent

Minimal to no integration; data is manual or missing

Q6. How does data flow between learning systems and business dashboards?

Seen as a natural part of work, tied to growth and outcomes

Accepted as a way to make processes easier or faster

Welcomed when supported by managers and tied to people’s needs

Mixed; enthusiasm in some groups, skepticism in others

Cautious or unaware of how AI could support them

Q7. How do employees perceive AI-enabled learning?

Managers integrate AI-driven insights into coaching and performance reviews

Managers encourage AI tools that save time and cut costs

Managers support team use but rely on guidance themselves

A few managers experiment; most are passive observers

Minimal manager involvement; reliance on HR/L&D alone