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FreeAI Maturity Index

See where AI is working,
and what to fix first.

One short survey for your whole team shows where AI is paying off, where it is stuck, and which teams need help first.

10 minutes per person. Department by department.

The questions leaders keep asking

Your report answers each one with your own numbers, team by team.

How mature are we overall?

72

/100

Level 4 · Operationalizing

Why we start every engagement here

Send one link and hear from everyone

Each person takes about ten minutes, and your score builds as the answers come in.

Share one link

Everyone answers

72

One score for your organization

Every company is somewhere on this climb

1Unaware
2Exploring
3Experimenting
4OperationalizingAI is built into some workflows and producing measurable results.
5Scaling

The report your leadership team gets

One score for the whole company
Your overall score, the stage it puts you in, and how each area adds to it.
72/100
Level 4 · Operationalizing
- AI adoption & utilization80
- AI vision & business alignment85
- Data & technology readiness73
- Technology & infrastructure70
- AI skills & readiness66
- Operational readiness58
Where each team stands
Every department scored on every area, so you can see who's ready to lead and who could use more support.
Department Adoption Vision Data Tech Skills Ops Avg
Operations
88
86
80
76
74
66
78
Sales
86
92
70
72
78
60
76
Finance
80
88
88
78
64
70
78
Customer Service
76
82
66
64
58
50
66
Warehouse & Logistics
70
77
61
60
56
44
61
Department Adoption Ops Avg
Operations
88
66
78
Sales
86
60
76
Finance
80
70
78
Customer Service
76
50
66
Warehouse & Logistics
70
44
61
Where confidence and urgency don't match
Teams that feel least confident about AI often sit closest to the work where it matters most.
Confidence with AI →
Monitor
Scale
Low priority
Urgent intervention
SalesFinanceOpsCSW&L
How critical AI is to the team's work →
What your team is asking for
The use cases people asked for most, ranked and tagged by the departments that want them.
1. 01
  Automated order exception triage
  Flag and route delayed or mismatched orders before customers notice.
  - Operations
  - Customer Service
2. 02
  Carrier rate comparison
  Pull quotes from every carrier into one view and recommend the best option.
  - Logistics
3. 03
  Month-end reconciliation assistant
  Match invoices to receipts and surface only the exceptions for review.
  - Finance
What people are worried about
Concerns raised in the survey, so change management starts from what people actually feel.
- 41%aren't sure which AI tools they're allowed to use with company data.
- 33%worry AI output will need so much checking that it won't save time.
- 26%say they learned AI on their own, with no training from the company.

What your team’s answers reveal

Is AI actually part of daily work, or just talked about?
How often people use AI80Strength
- Daily38%
- A few times a week31%
- A few times a month17%
- Rarely10%
- Never4%
Most people use AI weekly or more, and 38% use it every day.
Does leadership agree on where AI should take the business?
How clearly leadership has set the direction for AI85Strength
1%
1%
2%
3%
5%
8%
14%
24%
26%
16%
12345678910
Not at all clearCompletely clear
Two in three rate leadership’s direction on AI 8 out of 10 or higher.
Can your people find and trust the data AI depends on?
Finding and trusting the data73Developing
- 64%can find the data they need
- 57%trust it enough to act on it
- 1 in 3wait on another team for access
Data is the sticking point: a third of people wait on another team to get it.
Is the tech stack ready to support AI at scale?
The AI tools people use today70Developing
1. ChatGPT112 mentions
2. Microsoft Copilot86 mentions
3. Claude41 mentions
4. Gemini27 mentions
5. Zapier18 mentions
ChatGPT and Copilot lead, with a long tail of tools picked up team by team.
Can the team use AI well, not just access it?
How people learned AI66Developing
52%Taught themselves
Company training21%
From a colleague18%
Not yet9%
More than half taught themselves, so skills vary widely from team to team.
Are processes documented well enough for AI to help?
Where work gets stuck58Focus area
1. 1Re-keying orders between systemsOperationsWarehouse & Logistics
2. 2Chasing approvals by emailFinance
3. 3Finding the latest pricingSalesCustomer Service
4. 4Correcting pick lists by handWarehouse & Logistics
The biggest drag is manual hand-offs between systems and people.

Now see the one with your name on it

Set it up in a couple of minutes and send the survey today.

Before you start

Is it really free?

Yes. The survey, your portal and your results cost nothing, and there's no obligation to work with us afterwards.

Who should take it?

Everyone in the company. The more people who respond, the more accurate your organization's score becomes and the clearer the picture of each department.

How long does it take?

About ten minutes per person. The survey stays open for two weeks so everyone has time to respond.

What happens after we get our results?

You can use them on your own, or talk with our team about turning them into a prioritized 90-day plan.

What comes after your score

The index shows where you stand. Our strategy and leadership work turns it into a plan and a team trained to carry it out.

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