AI Adoption Gap Assessment

This assessment is designed to help identify where your organization may already be learning to use AI effectively, where valuable learning may be getting lost, and where opportunities may exist to improve the way work is done.

There are no “right” answers. Please answer based on how work actually happens in your organization today—not how it is supposed to happen.

Your responses will be reviewed by Excelsior AI Consulting. You'll receive a personalized AI Opportunity Brief identifying up to three practical opportunities supported by the information you provide.

Most people can complete the assessment in about 15–20 minutes. Thoughtful, detailed responses may take longer.

Email address where results should be sent

Approximate Number of Employees

About Your Organization

How does your organization currently know where and how employees are using AI in their work?

Select all that apply.

Managers regularly discuss AI-assisted work with their teams

We have identified specific AI-assisted workflows

Employees share successful methods or use cases

We use surveys, interviews, or another structured process

We primarily rely on software usage or license data

We hear about examples informally

We don't currently have a reliable way to know

Think of one recurring piece of important work in your organization where AI is already being used. What is the work, how is AI being used, and what has improved—or failed to improve—as a result?

A specific example from actual work is more useful than a general description.

When someone in your organization discovers a better way to do work with AI, what most often happens next?

The improved method is documented and shared so others can use it

The employee shares it informally with coworkers

The employee's manager may learn about it, but it usually stays within the team

The employee continues using it individually

It depends heavily on the manager or department

We don't have a consistent process for what happens next

When employees find an AI-assisted way of working that appears useful, how consistently is that method evaluated before other people are encouraged to use it?

We have a defined process for evaluating it

It is usually evaluated, but the process varies

Evaluation depends on the manager or department

People generally decide for themselves whether it works

Useful methods tend to spread informally without much evaluation

We rarely evaluate AI-assisted methods systematically

How consistently are successful AI-assisted ways of working turned into a repeatable method that other employees can follow?

Consistently—we document the method and make it available to the appropriate employees

Often, but not systematically across the organization

Sometimes, depending on the team or manager

Rarely—most successful methods remain with the individuals who developed them

We don't currently have a process for doing this

Where is AI causing the most frustration, inconsistency, wasted effort, or uncertainty in your organization today?

Please describe one or two specific examples if possible.

How confident are you that managers across your organization know how to evaluate whether an employee's use of AI is actually improving the work?

Very confident—managers generally know what good AI-assisted work looks like and how to evaluate it

Fairly confident, although capability varies among managers

Some managers can do this well, but many cannot

Managers generally rely on employees to determine whether their own AI use is effective

We have not yet developed this management capability

When AI helps an employee complete work faster, what most often happens to the time that is saved?

The employee uses the time for higher-value work

The employee is able to complete more of the same work

The time is redirected based on team or management priorities

It varies widely and is not intentionally managed

We generally don't know what happens to the time saved

We have not seen meaningful time savings from AI

How does your organization currently determine whether AI is creating measurable business value?

We measure specific business outcomes tied to AI-assisted work

Some teams measure results, but there is no consistent organization-wide approach

We mainly rely on productivity or time-saving estimates

We primarily track AI usage or adoption

We rely mostly on anecdotal examples or employee feedback

We don't currently measure the business value created by AI

Thinking about AI-assisted work in your organization, what evidence have you seen that it is producing meaningful improvement?

Select all that apply.

Measurable time savings

Increased output or capacity

Improved quality or accuracy

Faster response or cycle times

Better customer outcomes

Better employee experience or reduced repetitive work

Improvements have been observed, but not formally measured

We have not yet seen clear evidence of meaningful improvement

Please describe one example where AI has produced a meaningful improvement in your organization. What changed, and what evidence tells you the improvement was real?

If possible, include what the work looked like before, what changed, and any measurable difference in time, cost, quality, capacity, customer outcomes, or employee experience. If you have not yet seen a clear improvement, please say so.

How does your organization currently decide where to pursue new AI-assisted ways of working?

We have a defined process for identifying and prioritizing opportunities

Leadership or management identifies specific opportunities to pursue

Individual departments or teams identify opportunities independently

Employees generally experiment on their own and useful ideas may emerge

Opportunities are usually driven by available AI tools or vendor offerings

We pursue opportunities as they arise, without a consistent prioritization process

We are not currently identifying new AI opportunities systematically

If we were having this conversation six months from now, what would need to be different for you to say your organization had made meaningful progress with AI?

Think about the work itself—not simply how many people are using AI. What would be faster, better, easier, more consistent, more valuable, or newly possible?