AI & DATA READINESS

AI is only as ready as the data and systems underneath it.

Before you scale AI, do you know whether your organisation has the foundations to support it?

The DigX Executive AI & Data Readiness Check gives senior leaders a quick indication of where hidden weaknesses or unresolved dependencies may affect future AI adoption.

14 Questions

10 Minutes

Immediate Feedback

Start the Executive Check
Get the Detailed Checklist

Why take the Executive AI & Data Readiness Check?

AI problems often start before the AI does. The Executive Check helps identify whether weaknesses in your data, systems, integration, ownership or controls may affect future AI adoption.

Data cannot be trusted

Critical information still needs manual checking, cleansing or reconciliation before people are confident using it.

Different systems, different answers

Customer, client, product or operational information is inconsistent across systems.

Manual workarounds

Important information still moves through spreadsheets, exports, re-keying or manual intervention.

Unclear ownership

Responsibility for critical data, quality and decision-making is not always clear.

Fragile integrations

Existing interfaces and data flows may be difficult to monitor, maintain or change safely.

Legacy dependencies

Key information remains inside platforms that were never designed for modern AI use cases.

Access uncertainty

It is not always clear what information new systems or AI applications should be allowed to access.

Pilots struggle to scale

What works with controlled data and limited users may behave very differently in production.

14 questions across 7 readiness areas

The Executive Check looks beyond AI itself and considers the business, data and technology foundations required to support reliable operational use.

Business Outcome & Accountability

Data Quality & Trust

Ownership & Governance

Systems & Integrations

Data Quality & Trust

Access & Information Control

Real-World Readiness

Your Result

Your score is an initial indication of where uncertainty, weakness or unresolved dependency may exist.

0-5   Few obvious warning signs

The main foundations appear to be understood. Review every Partly, No and Not Sure response and make sure any action has a clear owner.

6-9   Further investigation recommended

There are enough uncertainties or weaknesses to justify a closer look. Identify whether the issues cluster around data quality, integration, ownership, architecture or access.

10+  Discuss a fuller AI & Data Readiness Assessment

The number of gaps or unknowns suggests that important dependencies may not yet be sufficiently understood. A structured review can help identify what is ready, what is exposed and what needs attention before further investment or scale.

How It Works

The check is designed to be quick, practical and easy to complete without needing detailed technical preparation.

Answer 14 Questions

Choose   Yes,  Partly,  No, or Not Sure  for each question.

Receive Indicative Score

Your responses are scored, giving you a result out of 28.

What To Do Next

Use the result to identify whether further investigation is worthwhile, request the detailed checklist, or discuss a fuller assessment with DigX.

The overall score is only an indicator. One material weakness can matter more than the total number.

Start your AI & Data Readiness Check

Exec AI & Data Checklist
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Business Outcome & Accountability

Do your priority transformation or AI initiatives have a clear, measurable business outcome?
Have the potential business consequences of incorrect data, system failures or unreliable AI outputs been identified and documented?

Want to look deeper?

Choose the level of detail which is right for you.

AI & Data Readiness Checklist

FREE – 35 QUESTIONS

Take a more detailed look at the data, systems, architecture, ownership and controls underneath your transformation and AI plans.

The full DigX checklist contains 35 questions across seven areas and provides space to identify follow-up actions and priorities.

  • Data quality and trust
  • Data ownership and governance
  • Systems and integration
  • Architecture and data foundations
  • Access and information control
  • Business and use-case dependencies
  • Real-world readiness

Want the full 35-question checklist?

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AI and Data Checklist Request - 35Q

AI & Data Readiness Assessment

Evidence-Based Review*

When a checklist raises important questions, the DigX AI & Data Readiness Assessment goes deeper.

DigX reviews evidence from your data environment, systems, integrations, architecture, governance and, where appropriate, a fixed set of priority AI use cases.

DigX will identify what is working, where material constraints exist and what should happen next.

  • Evidence-based findings report
  • Executive feedback session
  • Prioritised short action plan

*Note: The Assessment is a paid service

Discuss a deeper assessment

Enter your first name and business email below and we’ll be in touch.

AI Data Assessement Request

Not sure which option is right for you?

If you have questions about your data, systems, integration or AI readiness, talk to DigX. We can help you determine whether a quick internal check is enough or whether a more detailed review would be useful.

Contact DigX