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Understanding your AIRI result
Average Score
2.5 to 3.4
General Capabilities
Savvy consumers of AI solutions. Capable of identifying use cases for AI applications
General Characteristics
Identified potential use cases and seek AI solutions from vendors
AI Adoption Suitability
Consume ready-made, end-to-end AI solutions
Interpretation of AIRI Result
It is a common misconception that AI adoption is only suitable for larger or technology-based organisations.
On the contrary, AI Unaware and AI Aware organisations, even if they lack data, talent, or ML infrastructure, could adopt ready-made AI solutions for their core or peripheral business activities. For instance, an AI Unaware or AI Aware law firm could implement a chatbot on its website to help answer queries from clients. The critical difference is that AI Aware organisations could identify better AI use cases, procure relevant AI solutions, and potentially benefit more from AI adoption.
AI Ready organisations typically can integrate AI features into existing products via Application Programming Interface (API). For instance, an AI Ready consumer insight firm could make API calls to AI services provided by cloud service providers to analyse customers’ sentiments. AI Ready organisations could also readily explore open-source and pre-trained AI models to infuse their products or services with AI features, thereby enhancing their competitiveness.
AI Competent organisations typically can develop customised solutions for unique business needs when none are available in the market. They are only limited by their imaginations, data, and resources on the type of AI solutions they could develop.
Organisations should assess if their current AI capabilities support their organisational objectives. If there is a mismatch, organisations could refer to their organisational capabilities’ profiles as a high-level guide on specific areas to target and improve. An important point to note is that not every organisation needs to reach AI Competent. The ideal AI readiness is dependent on the organisational objectives.
Nonetheless, given the pervasiveness of AI technology, organisations should minimally aspire to be AI Aware. This enables them to identify better use cases for AI, procure relevant AI solutions, and be savvy consumers of AI.
Identify your AI capabilities
The organisational capability profile serves as a guide for an organisation looking to improve its AI capabilities. An organisation should seek a balanced profile by having all dimensions with the same score based on their desired capability.
The chart on the below shows your responses and their corresponding score, and comparing with other companies in the same industry or business type based on AIRI.
Your Organisational Profile and Other Companies in the Retail Industry
Comparing AIRI Results for Organisational Readiness
Comparing AIRI Results for Business Value Readiness
Comparing AIRI Results for Ethics and Governance Readiness
Comparing AIRI Results for Data Readiness
Comparing AIRI Results for Infrastructure Readiness
Your Organisational Profile and Other SME Companies
Comparing AIRI Results for Organisational Readiness
Comparing AIRI Results for Business Value Readiness
Comparing AIRI Results for Ethics and Governance Readiness
Comparing AIRI Results for Data Readiness
Comparing AIRI Results for Infrastructure Readiness
Note: 0 – AI Unaware, 2.5 – AI Aware, 3.5 – AI Ready, 5 – AI Competent
Interpretation of Organisational Profile
The organisational capability profile serves as a guide for an organisation looking to improve its AI capabilities. An organisation should seek a balanced profile by having all dimensions with the same score based on their desired capability; otherwise, the weakest dimension in a lopsided profile might hinder the organisation from achieving its AI ambition and reaping the synergistic effects across dimensions.
For instance, an organisation that is strong in AI Talent but weak in Data and ML Infrastructure cannot develop AI models effectively. This is because their AI talents lack the necessary infrastructure to perform their job. It is rare for an organisation to have an overly lopsided profile.
For example, an organisation without strong Management Support is unlikely to have the required resources to invest in other dimensions. Similarly, an organisation with weak AI Literacy is doubtful to identify suitable business use cases, appreciate the importance of Data Quality, and understand the necessity for AI Ethics and Governance.
An organisation with an overly lopsided profile might want to review the self-assessment responses to ensure their accuracy. By identifying the weakest dimensions, the organisational capability profile enables an organisation to focus on dimensions that could significantly improve its overall AI capabilities.
Approach to improve your AI Readiness
Below is a suggested approach for organisations to benefit from AIRI assessment and improve their AI readiness:
Determine whether current AI capability supports organisational goals
AI, similar to other technologies, is a tool that could help organisations increase their competitiveness via higher automation (cost-saving), better product offering (revenue), or deeper analytics capabilities (insights).
Organisational goals serve as the north star for technology adoption; adopting AI without a clear direction and purpose will bring disappointing results. Therefore, organisations should work backwards from their organisational goals to identify potential areas where AI could add exponential value before investing in or further into it.
Once the potential areas of AI applications are identified, organisations could decide whether the use cases justify hiring a team of AI Engineers to develop customised solutions.
Not every use case requires customised solutions; organisations, especially AI Unaware and AI Aware, should first look at commercially available solution before developing own AI solutions in-house. For instance, a law firm could procure a commercially available chatbot solution to support its customer service activities.
Such an approach is quicker, has lower risk, and will let the organisation gain experience using AI applications. Organisations should also consider whether having the specific AI application is regarded as a core competitive advantage.
For example, if the law firm believes AI-powered law case review is a core competitive advantage or there is none available in the market, there is a greater incentive to create such a solution in-house.
Identify which level of AI capabilities the organisation needs to be at
Organisations could refer to the Interpretation of AIRI results to understand which AI capabilities they need to be at. Generally speaking, organisations looking to adopt commercially available solutions could be AI Unaware or AI Aware.
Organisations looking to integrate AI features, such as AI services from cloud providers, into their products should be at AI Ready. Finally, organisations looking to develop their customised AI solution should be at AI Competent level.
Focus first on the weakest dimension to unlock synergy across all
Organisations looking to improve their AI readiness should focus first on their weakest dimension based on their Organisation Capability Profile. The dimensions have synergistic effects, and they can only be unlocked if the organisation has capabilities across all dimensions.
If the organisation has multiple dimensions with the same score, prioritise the dimensions listed under Organisational Readiness before moving to Ethics and Governance Readiness, Business Value Readiness, Data Readiness, then Infrastructure Readiness.
AIRI Suggestion
The AIRI Suggestion is designed to provide your organisation with a more detailed understanding of how you can enhance your AI readiness, with actionable steps that you can take to achieve your goals. The fundamental premise of the AIRI Suggestion is that each organisation is at a specific stage of AI readiness, with distinct requirements and challenges to overcome.
CURRENT STEP: AI AWARE
Organisational Readiness
Management Support
Establish a project team comprising of individuals who possess a fundamental understanding of AI (e.g. AI champions) to identify the AI solution requirements and search for a suitable provider.
AI Literacy
Encourage all employees (including non-engineers, sales, marketing, HR) to attend non-technical AI classes such as AI For Everyone (AI4E) webinar, whether online or offline
AI Talent
Enhance the skills of a project team to define the scope of the AI project
Employee Acceptance of AI
Encourage AI champions to organise training sessions for employees on how to effectively use the tested AI solutions
Experimentation Culture
Empower AI champions to work with employees to explore AI-enabled solutions
Business Value Readiness
Business Use Case
Ideate and prioritise the potential AI use cases that have the highest business value potential
Ethics and Governance Readiness
AI Governance
Implement basic AI governance guidelines
AI Risk Control
Implement basic AI risk control guidelines
Data Readiness
Data Quality
Assign employees with formal responsibilities to manage datasets that have potential AI use cases
Reference Data
Consolidate the datasets into a unified database at a sub-organisational level and structure the data in a standardised format
Infrastructure Readiness
Machine Learning (ML) Infrastructure
Allocate a budget for cloud or on-premise servers to support the low-code platform or turn-key solutions and access the deployed AI solution remotely
Data Infrastructure
Implement a suitable database technology (e.g. relational database, object-oriented database, graph database) for supporting the AI project
TAKE ONE STEP FURTHER: AI READY AND AI COMPETENT
Organisational Readiness
Management Support
Establish company's AI strategy and allocate budget and resources
AI Talent
Hire and build an AI engineering team consisting of AI engineers, MLOps engineers, product managers, data curators, AI researchers
Ethics and Governance Readiness
AI Governance
Create policies and procedures to ensure that the implemented AI solutions are functioning appropriately, such as ensuring that AI models are trained on unbiased data, and monitoring the performance of AI models
AI Risk Control
Appoint a leader (e.g. Chief Data Officer, Chief AI Officer) to standardise AI risk controls across the organisation and to conduct rigorous testing on their existing AI solutions
Data Readiness
Data Quality
Appoint a leader (e.g. Chief Data Officer, Chief AI Officer) to manage data management processes
Reference Data
Consolidate the datasets into a unified database at an organisational level and establish and upkeep the data definition, catalog and metadata
Infrastructure Readiness
Machine Learning (ML) Infrastructure
Allocate a substantial, dedicated budget for deploying a distributed system. Implement MLOps, leverage APIs, develop AI-enabled software, and integrate AI into most projects. Include AI as a component of the product offering
Data Infrastructure
Implement a wide range of suitable database technologies (e.g. relational database, object-oriented database, graph database for supporting multiple AI projects
How can you get started?
The UOB AI Ready Programme is more than a learning platform – it is a launchpad for digital transformation. UOB FinLab leverages on its strong collaborative ecosystem across the region to equip SMEs across ASEAN with the knowledge, tools and capabilities to harness the power of Artificial Intelligence (AI) meaningfully and responsibly.
AI Ready & Competent organisations can also tap on the programme to build Proof-of-Concepts to accelerate their implementation.
UOB AI Ready Programme
Strategy to improve AI readiness
AI Unaware
Increase AI literacy of organisation
AI Aware
Prepare organisation to adopt AI solution
AI Ready
Help organisation to adopt AI solution
AI Competent
Deepen organisational AI capabilities
AI Awareness
SME Elevate Programme
Get started with AI by understanding what it means for your business. Through the SME Elevate Programme, our Skills Manager will work closely with you to curate tailored learning pathways that equip your team with the foundational knowledge and future- ready skills needed to thrive in an AI-driven world.
UOB AI Ready Masterclasses
Deep-dive into specific AI topics and practical applications. These sessions are designed around SME challenges and industry use cases, giving you practical knowledge and confidence to take the first steps in your AI journey.
AI Adoption
Partners Solutions
Sign up to our community page to explore trusted AI tools and solutions developed by our ecosystem partners. We help match you with the right providers that can address your business challenges, ensuring relevance and immediate applicability.
AI Acceleration
Get tailored guidance and hands-on support
Register for our 1-on-1 Tech Advisory Clinics for tailored guidance, apply for partially funded Proof-of-Concept (POC) sprints to test and validate AI solutions, and register your interest in upcoming AI workshops designed to help SMEs move from awareness to action.
Thank you for undergoing the AIRI assessment.
Please get in touch with us if you have questions about AIRI, would like to know more about our programmes, or require further advice on improving your organisation’s Al maturity.
AI Readiness Index (AIRI) is an industry-focused AI readiness assessment framework developed by AI Singapore (AISG). AI Singapore’s AIRI is licensed under CC-BY-NC-ND 4.0 license.
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