Find out if your organization is ready for AI.

Technology

Healthcare

Finance

Retail

Manufacturing

1-250

251-500

501-1000

1001-5000

5001+

Less than $250M

$250M - $500M

$500M - $1B

Greater than $1B

Yes

No

Planning to implement

On-premises

Cloud-based

Hybrid

None

Yes

No

Not sure

Manually

Automated

Combination of both

1 (Poor)

2

3

4

5 (Excellent)

Daily

Weekly

Monthly

Rarely

Never

Fully centralized: Data is consistently managed and readily accessible organization-wide

Moderately centralized: Majority of data is in a unified location, but some silos remain

Partially fragmented: Some centralization, but many department-specific silos exist

Highly fragmented: Data is scattered across different silos

Consistently processed: our data strategy ensures data is always AI-ready

Mostly processed: most of our data is primed for AI use

Occasionally processed: some datasets are AI-ready, but many require additional work

Rarely processed: significant time is needed to clean and organize data for AI

Most of our data projects have detailed data lineage tracking incorporating end-to-end data traceability, ensuring complete transparency

We have a structured system for tracking data sources, but it's not integrated with all data projects

We have basic tracking but lack comprehensive lineage details

We do not actively track data sources and lineage

We have a continuous data accuracy validation system integrated with real-time corrections

We have dedicated teams that periodically verify data accuracy

We do occasional checks but lack a systematic verification process

We rely on external data providers without internal verification

Yes

No

In the process of hiring

Yes

No

Unsure

Very well resourced

Moderately well resourced

Moderately under resourced

Significantly under resourced

Unsure

1 (Poor)

2

3

4

5 (Excellent)

Yes

No

In progress

Yes - we have a well-defined AI strategy

No - we are currently in the process of developing an AI strategy

No - we have not yet started to develop an AI strategy

Unsure

There is clear leadership/ownership of our organization's AI strategy

More organic and decentralized

High urgency - the move to embrace AI is seen as highly important and urgent

Moderate urgency - embracing AI is seen as important but the organization is not acting with urgency

Limited urgency - embracing AI is seen as an inevitable driver of some change but not important or critical

No urgency - there is no discussion or momentum around embracing AI within the organization

Cost

Data privacy and security

Lack of expertise

Technological limitations

Other:

Fully prepared

Somewhat prepared

Not prepared

Yes

No

Somewhat

End-to-end encryption with regular checks and security audits, continuous monitoring and instant threat response

Advanced encryption measures in place, but may lack regular audits

Basic encryption measures in place

No specific encryption or protection measures

Yes

No

Planning stage

Internal budget

External funding

Partnerships

Not decided yet

AI deployment is the highest priority for budget allocation, and we have been given an additional budget for it

AI deployment is given equal priority alongside other technological initiatives. We have some additional funding available

AI deployment is important, but we will have to cut spending across other technical initiatives to fund it

AI deployment is important, but depends on other technical initiatives to be in place first

Unsure

Machine Learning

Natural Language Processing

Robotics

Computer Vision