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STEXEN AI Readiness Assessment Questions
Answer 20 questions. Discover exactly where your organisation stands.
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Before we begin — what is your name and email so we can send your
AI Readiness Assessment Report
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First Name
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Last Name
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Business Email
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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
Business Name
(Required)
Your Job Title
(Required)
Business Industry
(Required)
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)
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
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overall_score
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awareness_total
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awareness_score
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foundation_total
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foundation_score
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doption_total
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doption_score
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impact_total
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impact_score
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leadership_total
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leadership_score
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report_link
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key_id