Skip to content
STEXEN AI Readiness Assessment Questions
Answer 20 questions. Discover exactly where your organisation stands.
Step
1
of
11
0%
First, Tell Us About Your AI journey.
Which part of your business are you assessing?
(Required)
Our entire organisation
A division
A business unit
A department
A specific team
When it comes to AI, which best describes your business right now?
(Required)
Select an item
We haven't started using AI yet
We're experimenting with a few AI tools
AI is part of how we work but not fully embedded
AI is central to how we operate
How soon are you planning to implement AI in your business?
(Required)
Select an item
We need to act now (within 3 months)
We're planning ahead (3–6 months)
We're exploring (6–12 months)
Just curious / not sure yet
What is your biggest challenge with AI right now?
(Required)
Select an item
Finding the right tools for my business
Getting my team to actually use AI
Measuring whether AI is making a real difference
Scaling AI beyond a few isolated use cases
Q1. How would you describe our organisation's current understanding of Artificial Intelligence (AI)?
(Required)
We have heard of it but have no clear understanding of its relevance
We have a basic awareness of what AI is and what it can do
We understand AI and can identify some of its business applications
We have a strong, informed understanding of AI and its strategic relevance to our industry
Q2. How aware is our organisation of AI tools and solutions currently available for businesses in our sector?
(Required)
We are not aware of any specific AI tools relevant to our business
We have a basic awareness of what AI is and what it can do
We understand AI and can identify some of its business applications
We have a strong, informed understanding of AI and its strategic relevance to our industry
Q3. How well does our leadership team understand the potential impact of AI on our industry over the next 2–3 years?
(Required)
This has not been a focus of our strategic thinking
We have a general sense but lack specific insight or direction
We have a reasonable understanding of AI’s trajectory in our industry
We have a clear, informed perspective on AI’s impact and have factored it into our strategy
Q4. How confident is our leadership in communicating the value and relevance of AI to our team and key stakeholders?
(Required)
We lack the confidence or knowledge to have this conversation
We can communicate the basics but lack depth
We can articulate the key benefits with reasonable clarity
We communicate AI’s strategic value with confidence and clarity across all levels
Q5. How well documented are our current business processes and service delivery workflows?
(Required)
Most processes exist informally — little to nothing is documented
Some processes are documented but inconsistently across the organisation
Most key processes are documented and reasonably structured
Our processes are fully documented, structured, and regularly reviewed
Q6. How would we describe the quality and organisation of our business data?
(Required)
We do not systematically collect or organise data
We collect some data but it is scattered and inconsistent
We have organised data across most areas of the business
Our data is clean, well-organised, and readily accessible for decision-making
Q7. How would we rate our current technology infrastructure in terms of its readiness for AI integration?
(Required)
We rely primarily on manual processes with minimal digital infrastructure
We have some digital tools but they are not well integrated
We have a solid digital foundation that functions reasonably well
Our technology infrastructure is robust, integrated, and positioned for AI adoption
Q8. How prepared is our team to learn, adapt, and operate within an AI-enhanced environment?
(Required)
Our team is resistant to or unprepared for significant change
Our team is open but would require substantial support and development
Our team is adaptable and reasonably open to adopting new tools and approaches
Our team is highly capable, change-ready, and actively embraces innovation
Q9. Is our organisation currently using any AI-powered tools or solutions?
(Required)
No — we have not adopted any AI tools to date
We are experimenting with one or two basic AI tools in limited areas
We are actively using several AI tools across specific functions
AI tools are embedded and operational across multiple areas of our business
Q10. How effectively are our current AI tools being utilised across the organisation?
(Required)
We have not adopted any AI tools
Usage is occasional and inconsistent
Usage is regular and delivering measurable value in key areas
Usage is consistent, embedded, and central to how we operate
Q11. How well integrated are our AI tools with our existing business systems and service delivery processes?
(Required)
Not applicable — we have no AI tools in place
Our AI tools operate in isolation — not connected to other systems
Partial integration exists across some systems and processes
Usage is consistent, embedded, and central to how we operate
Q12. How do we currently measure the performance and business impact of our AI tools?
(Required)
We do not measure impact at this stage
We have a general sense of value but no formal measurement framework
We track selected metrics related to our AI tool performance
We have defined KPIs and regularly evaluate AI tool impact against business outcomes
Q13. How much of our team's current capacity is consumed by repetitive, manual, or low-value tasks?
(Required)
The majority of our operations are manual and repetitive
There may be opportunity but we have not identified where
We can identify clear opportunities in specific operational areas
We see significant, well-defined opportunities across multiple areas of the business
Q14. How significant is the opportunity for AI to reduce our operational costs and eliminate systemic friction?
(Required)
We do not see a clear opportunity at this stage
There may be opportunity but we have not identified where
We can identify clear opportunities in specific operational areas
We see significant, well-defined opportunities across multiple areas of the business
Q15. How much potential do we see for AI to directly support revenue growth and market expansion?
(Required)
We do not see a direct connection between AI and our revenue growth
There may be a connection but we have not explored it strategically
We can identify specific ways AI could contribute to revenue growth
We have a clear strategic vision for how AI will drive measurable revenue outcomes
Q16. How significant is the competitive risk to our organisation if our competitors adopt AI before we do?
(Required)
We do not believe it would materially affect our position
It may have some impact but is not an immediate concern
It would place us at a noticeable competitive disadvantage
It represents a serious and immediate threat to our market position
Q17. How committed is our leadership to driving AI adoption as a strategic priority?
(Required)
AI is not yet a leadership priority — we are still in evaluation mode
There is interest but no concrete commitment or action taken
Leadership is committed and has begun taking meaningful steps
Leadership is fully aligned and actively driving AI adoption across the organisation
Q18. Do we have a clear strategy or roadmap for how AI will be integrated into our business?
(Required)
No strategy or roadmap exists at this stage
We have loose ideas but nothing formally defined
A foundational plan exists but requires further development
A clear, documented AI strategy and roadmap is in place and being executed
Q19. How aligned are our key stakeholders around the strategic importance of AI for our organisation?
(Required)
There is little to no awareness or alignment across our stakeholders
Some awareness exists but there is no shared vision or direction
Most key stakeholders are aligned and broadly supportive
Full stakeholder alignment exists — there is a shared and committed vision for AI
Q20. How would we describe our organisation's culture in relation to change, innovation, and transformation?
(Required)
We tend to resist change and prefer established ways of operating
We are cautious about change but open to it when the need is clear
We are generally open and adaptive — change is manageable for us
We actively embrace change and cultivate a culture of innovation and continuous improvement
Q21. How would you describe the current level of AI literacy across your team?
(Required)
Our team has little to no awareness or understanding of AI and its applications
A reasonable portion of our team understands AI and can apply it in their roles
A reasonable portion of our team understands AI and can apply it in their roles
AI literacy is strong and consistent across our team — most members use it confidently
Q22. Has your organisation invested in any formal AI training, upskilling, or capability development programs?
(Required)
We have made no investment in AI training or capability development to date
We have explored options but have not yet committed to a formal program
We have invested in some AI training and are seeing early capability growth
We have a structured, ongoing AI capability development program in place
Q23. How confident are your team members in using AI tools independently in their day-to-day roles?
(Required)
Our team members are not confident and would need significant guidance to begin
A few individuals are comfortable but most would need considerable support
Most team members can use AI tools independently with occasional guidance
Our team members are highly proficient and self-sufficient in using AI tools daily
Q24. Does your organisation have — or plan to develop — dedicated roles or responsibilities around AI implementation and oversight?
(Required)
We have no dedicated AI roles and no plans to create them at this stage
We have discussed the need but have not yet assigned any formal responsibility
AI responsibilities have been informally assigned to existing team members
We have clearly defined AI roles and ownership embedded within our structure
Q25. To what extent is AI currently being used to personalise or enhance the experience you deliver to clients?
(Required)
We are not using AI in any client-facing capacity at this stage
We have explored the idea but have not implemented anything meaningful
We are using AI in some areas to personalise or improve the client experience
AI is actively and consistently used to deliver a differentiated client experience
Q26. How is AI being used to improve the consistency, speed, or quality of your service delivery?
(Required)
AI plays no role in our service delivery processes at this stage
We have trialled AI in isolated areas but without consistent results
AI is improving consistency and quality in specific areas of our service delivery
AI is embedded across our service delivery — driving measurable quality and efficiency
Q27. How well does your organisation use AI to gather, analyse, and act on client feedback and satisfaction data?
(Required)
We do not currently use AI to collect or analyse client feedback
We collect some feedback but do not use AI to analyse or act on it
We use AI in some capacity to analyse feedback and identify improvement areas
We have a structured AI-powered feedback loop that directly informs our service improvement
Q28. How much opportunity do you see for AI to create a meaningfully differentiated client experience in your market?
(Required)
We do not see a clear opportunity for AI to differentiate our client experience
We sense there is opportunity but have not defined or explored it strategically
We can identify specific ways AI could meaningfully differentiate our client experience
We have a clear and compelling vision for how AI will set our client experience apart
Q29. Does your organisation have any policies or guidelines in place for the responsible use of AI?
(Required)
We have no policies or guidelines in place for AI use at this stage
We are aware of the need but have not yet formalised any policies or guidelines
We have basic guidelines in place that are informally followed by our team
We have clear, documented AI policies that are actively communicated and enforced
Q30. How well does your organisation manage data privacy and security in relation to AI tool usage?
(Required)
We have not considered data privacy in the context of our AI tool usage
We are aware of the risks but have not implemented specific safeguards
We have taken steps to manage data privacy but our approach is not fully formalised
We have robust data privacy and security measures in place specific to our AI usage
Q31. How aware is your leadership of the ethical risks associated with AI — including bias, transparency, and accountability?
(Required)
Our leadership has little to no awareness of the ethical risks associated with AI
We are broadly aware that ethical risks exist but have not explored them in depth
Our leadership has a reasonable understanding of key AI ethical risks and considerations
Our leadership is well-informed and actively manages ethical risk as part of our AI strategy
Q32. To what extent does your organisation ensure that AI-generated outputs are reviewed, validated, and accountable?
(Required)
We do not have any review or validation process for AI-generated outputs
Review happens occasionally but is informal and inconsistent
We have a general practice of reviewing AI outputs in most key areas
We have a structured validation process — all AI outputs are reviewed before use or distribution
Where should we send your results?
First Name
(Required)
Last Name
Business Email
(Required)
Tell us a little about your business
Business Name
(Required)
Name of Your Area
(Required)
i.e., the name of the area being assessed (team, business unit, department, or division).
Your Role in the Business
(Required)
Select an item
Business Owner / Founder
CEO / Managing Director
Senior Leader / Executive
Director / Principal
Manager / Team Lead
Consultant / Advisor
Other
Business Industry
(Required)
Select an item
Accounting
Advertising & Marketing
Aerospace & Aviation
Agriculture & Farming
Architecture & Planning
Arts & Culture
Automotive
Banking
Biotechnology
Building Materials
Business Consulting
Chemical Manufacturing
Civil Engineering
Construction
Consumer Electronics
Consumer Goods
Coaching
Cybersecurity
Defence & Military
Design (Graphic, UX/UI, Industrial)
E-commerce
Education & Training
Electrical & Electronic Manufacturing
Energy & Utilities
Engineering (General)
Environmental Services
Events Services
Facilities Management
Fashion & Apparel
Financial Services
Food & Beverage
Food Production
Forestry & Logging
Gaming (Video Games & Gambling)
Government & Public Sector
Health & Fitness
Healthcare & Medical
Hospitality & Tourism
Human Resources
Import & Export
Industrial Automation
Information Technology & Services
Insurance
Interior Design
Internet & Web Services
Investment Management
Legal Services
Logistics & Supply Chain
Management Consulting
Manufacturing
Marine & Shipping
Media & Entertainment
Mining & Metals
Non-profit & NGO
Oil & Gas
Pharmaceuticals
Printing & Publishing
Professional Services
Property & Real Estate
Public Relations & Communications
Research & Development
Retail
Security & Investigations
Sports & Recreation
Staffing & Recruiting
Superannuation & Pensions
Telecommunications
Textiles
Transportation
Warehousing
Wholesale Trade
Other
Country
(Required)
Select an item
Afghanistan
Albania
Algeria
American Samoa
Andorra
Angola
Anguilla
Antarctica
Antigua and Barbuda
Argentina
Armenia
Aruba
Australia
Austria
Azerbaijan
Bahamas
Bahrain
Bangladesh
Barbados
Belarus
Belgium
Belize
Benin
Bermuda
Bhutan
Bolivia
Bonaire, Sint Eustatius and Saba
Bosnia and Herzegovina
Botswana
Bouvet Island
Brazil
British Indian Ocean Territory
Brunei Darussalam
Bulgaria
Burkina Faso
Burundi
Cabo Verde
Cambodia
Cameroon
Canada
Cayman Islands
Central African Republic
Chad
Chile
China
Christmas Island
Cocos Islands
Colombia
Comoros
Congo
Congo, Democratic Republic of the
Cook Islands
Costa Rica
Croatia
Cuba
Curaçao
Cyprus
Czechia
Côte d'Ivoire
Denmark
Djibouti
Dominica
Dominican Republic
Ecuador
Egypt
El Salvador
Equatorial Guinea
Eritrea
Estonia
Eswatini
Ethiopia
Falkland Islands
Faroe Islands
Fiji
Finland
France
French Guiana
French Polynesia
French Southern Territories
Gabon
Gambia
Georgia
Germany
Ghana
Gibraltar
Greece
Greenland
Grenada
Guadeloupe
Guam
Guatemala
Guernsey
Guinea
Guinea-Bissau
Guyana
Haiti
Heard Island and McDonald Islands
Holy See
Honduras
Hong Kong
Hungary
Iceland
India
Indonesia
Iran
Iraq
Ireland
Isle of Man
Israel
Italy
Jamaica
Japan
Jersey
Jordan
Kazakhstan
Kenya
Kiribati
Korea, Democratic People's Republic of
Korea, Republic of
Kuwait
Kyrgyzstan
Lao People's Democratic Republic
Latvia
Lebanon
Lesotho
Liberia
Libya
Liechtenstein
Lithuania
Luxembourg
Macao
Madagascar
Malawi
Malaysia
Maldives
Mali
Malta
Marshall Islands
Martinique
Mauritania
Mauritius
Mayotte
Mexico
Micronesia
Moldova
Monaco
Mongolia
Montenegro
Montserrat
Morocco
Mozambique
Myanmar
Namibia
Nauru
Nepal
Netherlands
New Caledonia
New Zealand
Nicaragua
Niger
Nigeria
Niue
Norfolk Island
North Macedonia
Northern Mariana Islands
Norway
Oman
Pakistan
Palau
Palestine, State of
Panama
Papua New Guinea
Paraguay
Peru
Philippines
Pitcairn
Poland
Portugal
Puerto Rico
Qatar
Romania
Russian Federation
Rwanda
Réunion
Saint Barthélemy
Saint Helena, Ascension and Tristan da Cunha
Saint Kitts and Nevis
Saint Lucia
Saint Martin
Saint Pierre and Miquelon
Saint Vincent and the Grenadines
Samoa
San Marino
Sao Tome and Principe
Saudi Arabia
Senegal
Serbia
Seychelles
Sierra Leone
Singapore
Sint Maarten
Slovakia
Slovenia
Solomon Islands
Somalia
South Africa
South Georgia and the South Sandwich Islands
South Sudan
Spain
Sri Lanka
Sudan
Suriname
Svalbard and Jan Mayen
Sweden
Switzerland
Syria Arab Republic
Taiwan
Tajikistan
Tanzania, the United Republic of
Thailand
Timor-Leste
Togo
Tokelau
Tonga
Trinidad and Tobago
Tunisia
Turkmenistan
Turks and Caicos Islands
Tuvalu
Türkiye
US Minor Outlying Islands
Uganda
Ukraine
United Arab Emirates
United Kingdom
United States
Uruguay
Uzbekistan
Vanuatu
Venezuela
Viet Nam
Virgin Islands, British
Virgin Islands, U.S.
Wallis and Futuna
Western Sahara
Yemen
Zambia
Zimbabwe
Åland Islands
How many staff are in this area?
(Required)
Select an Item
Under 10
10-50
51-100
101-500
500+
This field is hidden when viewing the form
overall_total
This field is hidden when viewing the form
overall_score
This field is hidden when viewing the form
awareness_total
This field is hidden when viewing the form
awareness_score
This field is hidden when viewing the form
foundation_total
This field is hidden when viewing the form
foundation_score
This field is hidden when viewing the form
doption_total
This field is hidden when viewing the form
doption_score
This field is hidden when viewing the form
impact_total
This field is hidden when viewing the form
impact_score
This field is hidden when viewing the form
leadership_total
This field is hidden when viewing the form
leadership_score
This field is hidden when viewing the form
talentcapability_total
This field is hidden when viewing the form
talentcapability_score
This field is hidden when viewing the form
CXSD_total
This field is hidden when viewing the form
CXSD_score
This field is hidden when viewing the form
EthicsGov_total
This field is hidden when viewing the form
EthicsGov_score
This field is hidden when viewing the form
Momentum_score
This field is hidden when viewing the form
freereport_link
This field is hidden when viewing the form
intelligencereport_link
This field is hidden when viewing the form
key_id