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AI Readiness Assessment

AI Readiness Assessment

You have been asked to approve another software purchase. The team insists they need it. But you are not sure the last three are being used properly.

Before adopting AI, it helps to understand where your organisation stands today. This assessment takes five minutes and examines five dimensions of readiness — not to score you, but to give you clarity about where to focus first.

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Data and Systems Infrastructure

Data & Systems Infrastructure

How your systems hold, move, and share information. AI depends on data quality, and these questions examine whether your foundations are ready.

1. How well do your core business systems share data with each other?

They don't: most data is re-entered manually across systems

A few systems are connected, but most operate in isolation

Key systems are connected but with gaps and workarounds

Most systems are integrated with reliable data flow between them

Fully connected: data flows automatically and consistently across all core systems

2. How confident are you in the accuracy and completeness of your business data?

Not confident: records are often incomplete, duplicated, or outdated

It varies: some areas are reliable but others are a known problem

Reasonably confident in core data, though edge cases are messy

Good quality overall with regular clean-up processes

High confidence: data governance is established and monitored

3. Could you produce a clear map of your current technology landscape if asked today?

No, no one has a complete picture of what we use

A few people know parts, but there is no single documented view

We have a rough inventory but it is likely incomplete or outdated

We have a documented overview that is mostly current

Yes: we maintain an up-to-date systems map with dependencies and data flows

Team Readiness

Technology only works when people are ready to work with it. These questions examine whether your team has the skills, confidence, and willingness to adopt new ways of working.

4. How would you describe your team's general comfort with adopting new technology?

Resistant: most changes are met with reluctance or avoidance

Cautious: people adapt eventually but it takes significant effort

Mixed: some people embrace change while others resist

Receptive: most of the team adapts well with proper support

Enthusiastic: the team actively seeks better tools and processes

5. Does anyone in your organisation have experience evaluating or implementing AI tools?

No, AI is entirely new territory for us

A few people have experimented with AI tools individually

We have used some AI features within existing software

At least one person has led an AI-related initiative or evaluation

We have dedicated capability for evaluating and adopting AI

6. When new tools are introduced, how effectively does your team receive training and support?

No training happens: people figure it out or do not adopt it

Minimal: a brief walkthrough then left to self-serve

Some structured training but it varies by tool and department

Consistent getting-started process with follow-up support available

Comprehensive training programme with ongoing development and feedback loops

Process Maturity

AI amplifies whatever it touches — including inefficiency. These questions look at whether your operational processes are structured enough to benefit from automation and intelligence.

7. Are your core business processes documented and consistently followed?

Nothing is documented: processes live in people's heads

A few critical processes are written down but rarely referenced

Key processes are documented but followed inconsistently

Most processes are documented and generally followed

Well-documented, regularly reviewed, and consistently followed across the organisation

8. How much of your team's time is spent on repetitive, manual tasks that could be automated?

A large portion: manual tasks dominate most roles

Significant: several hours per person per week on repetitive work

Moderate: some automation exists but gaps remain

Low: most routine tasks have been automated or streamlined

Minimal: team time is focused on judgement-based work, not repetition

9. When something goes wrong in an operational process, how quickly is it identified and resolved?

Problems often go unnoticed until they cause visible damage

Issues are spotted eventually, but resolution is slow and ad hoc

Most issues are caught, but response depends on who notices first

Clear escalation paths exist and most problems are resolved promptly

Proactive monitoring catches issues early with established resolution workflows

Strategic Clarity

AI without strategy is just another tool bought on instinct. These questions examine whether your organisation has the strategic grounding to adopt AI with intention rather than reaction.

10. Does your organisation have a clear view of where it wants to be in 12–24 months?

No, we are focused on getting through the next quarter

A rough sense of direction but nothing formalised

Goals exist but they are not consistently communicated or tracked

Clear strategic priorities that the leadership team actively works towards

Documented strategy with measurable goals, understood across the organisation

11. How are technology decisions currently made in your organisation?

Reactively: someone hears about a tool, we buy it

Mostly driven by immediate pain points rather than long-term planning

Some consideration of fit but no formal evaluation framework

Decisions are made with business objectives in mind, with some structure

Technology decisions follow a clear process aligned with business strategy

12. Has your leadership team discussed what AI could mean for the business specifically?

Not really: AI feels distant from our day-to-day reality

Occasionally mentioned but never explored in depth

Discussed informally but without clear conclusions or next steps

Active conversations happening with some initial plans forming

AI is part of our strategic planning with identified use cases and timeline

Governance

Responsible AI adoption requires clear boundaries. These questions examine whether your organisation has the policies, oversight, and ethical awareness to govern AI use well.

13. Does your organisation have policies governing how data is collected, stored, and used?

No formal policies: data handling varies by person and department

Basic privacy policy exists for compliance but no internal governance

Some policies in place but inconsistently applied

Clear data governance policies that are generally followed

Comprehensive data governance with regular audits and compliance checks

14. Has your organisation considered the ethical implications of using AI in your operations?

Not at all: it has not come up

Vaguely aware of the issues but no formal consideration

Some discussion has taken place but no policies or guidelines yet

Principles are forming around responsible AI use

Documented ethical AI framework guiding all adoption decisions

15. Who would be responsible for overseeing AI adoption in your organisation?

No one: it would likely fall to whoever suggests it

The founder or managing director by default

A senior leader has informal oversight but no formal mandate

A named person or small team with responsibility for technology decisions

Dedicated governance structure with clear ownership, reporting, and review cycles

16. How does your organisation currently handle vendor evaluation for new technology?

We tend to go with whoever is recommended or familiar

Some comparison happens but mostly based on price and features

We compare a few options against basic requirements

Structured evaluation against defined criteria including integration and support

Formal procurement process with scoring matrix, pilot testing, and stakeholder input

Please answer all questions in this section before continuing.

Your Results

Overall Readiness

out of 80

What This Means

When the Time Is Right

This assessment is a starting point, not a verdict. If you would like to explore what it means for your organisation and where to focus first, the conversation is straightforward and without obligation.

Book a conversation