Assess. Identify. Accelerate
AIRI allows business units and organisations to assess their AI readiness and identify the gap between their current and desired state. It enables organisations to understand their suitable approaches to adopt AI and implement targeted programmes to increase AI readiness.
Ultimately, AIRI translates abstract concepts into concrete actions to help organisations accelerate their AI adoptions.
PSDC uses AIRI to help our companies identify which of our programmes (and our collaborator’s programmes) can be leveraged to accelerate their AI journey.
Companies keen to collaborate with PSDC and list their programmes according to AIRI, please contact us.
5 Pillars and 12 Dimensions of AIRI
Collectively, the 5 main pillars of AIRI provide a holistic assessment of an organisation’s readiness to adopt AI.
-
Organisational
Readiness -
Ethics & Governance
Readiness -
Business Value
Readiness -
Data
Readiness -
Infrastructure
Readiness
| Dimensions | Assessments |
|---|---|
| Management Support | Whether the organisation has allocated resources for AI initiatives |
| AI Literacy | Whether the employees could identify potential AI use cases and be savvy consumers of AI solutions |
| AI Talent | Whether the organisation has the capabilities to develop, integrate, and maintain AI models |
| Employee Acceptance of AI | Whether the employees trust and accept AI-bases systems |
| Experimentation Culture | Whether the organisation has an experimentation culture for employees to explore and develop AI use cases |
| Dimensions | Assessments |
|---|---|
| AI Governance | Whether the organisation has appropriate governance to avoid unintentionally harming end-users |
| AI Risk Control | Whether the organisation has a proper classification of the risk level of AI systems |
| Dimensions | Assessments |
|---|---|
| Business Use Case | Whether the organisation has identified suitable AI use cases and assessed their value propositions |
| Dimensions | Assessments |
|---|---|
| Data Quality | Whether the organisation has processes to ensure the quality (accuracy, completeness) of data collected |
| Reference Data | Whether there is a single source of truth, consistency of data format, and reliable metadata |
| Dimensions | Assessments |
|---|---|
| Machine Learning (ML) Infrastructure | Whether the organisation has appropriate and sufficient ML infrastructure (e.g., GPU, memory) to support AI model training and deployment |
| Data Infrastructure | Whether the organisation is using appropriate data infrastructure (e.g., data lake) as a central repository of data |
Approaches to Improving AI Readiness
Below are some suggested approaches for organisations to benefit from the AIRI assessment and improve their AI readiness:
AI, similar to other technologies, is a tool that could help organisations increase their competitiveness via higher automation (cost-saving), better product offerings (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 require customised solutions; organisations, especially AI Unaware and AI Aware, should first look at commercially available solution before developing their 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 a 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.
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 AI Ready. Finally, organisations looking to develop their customised AI solution should be at AI Competent level.
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 Readines.
What Others Say about AIRI
There is a gap between what people want to do with AI and the reality of what is going on in their organisations today. The AI Readiness Index will help bridge that gap in the AI adoption journey as organisations foster a trusted AI-ready culture through programmes from AI Singapore and the Microsoft AI Business School.
The AI Readiness Index is a significant assessment tool for Singapore businesses to chart their journeys in adopting and harnessing the benefits of AI. It complements Singapore Polytechnic and AISG’s ongoing efforts to develop customized learning programmes or solutions for local companies in the crucial business transformation processes.
The launch of AIRI is timely, serving to inform organisations’ readiness for AI and pointing them to AI Singapore’s programmes available to accelerate their readiness. SGTech is pleased to be part of this initiative, and we encourage companies across all sectors to take the AIRI assessment so that can take the next step in their journey to leverage AI in their businesses.
AIRI is a useful tool for organisations to assess where they stand in their AI journey. AIRI will enable AISG to better tailor its suite of programmes to each organisation’s needs, and be more effective in helping organisations use and benefit from AI.
Many business executives often share a common misconception that AI is only suitable for large companies with financial means and IT capabilities. The AI Readiness Index (AIRI) directly addresses these misconceptions.
AIRI provided uParcel a quick self-assessment of our organisation’s current AI readiness level. The assessment results allowed us to understand where we currently stand and how to get to where we want to be. As a result of AIRI, uParcel will enrol more software engineers into AISG’s AI For Industry programme to close the gaps identified by AIRI.
Kaplan is pleased to be the first education institution in Singapore to complete the AI Readiness Index assessment. This assessment, which scored Kaplan as being AI Ready, not only provides guidance on key focus areas but also reaffirms that we are on the right track.
The AI Readiness Index is a valuable tool businesses can benefit from as they look to further their AI adoption. It is a great framework that can help us determine the right solutions for our customers, based on their business goals and where they are in their AI adoption journey.
There is a gap between what people want to do with AI and the reality of what is going on in their organisations today. The AI Readiness Index will help bridge that gap in the AI adoption journey as organisations foster a trusted AI-ready culture through programmes from AI Singapore and the Microsoft AI Business School.
The AI Readiness Index is a significant assessment tool for Singapore businesses to chart their journeys in adopting and harnessing the benefits of AI. It complements Singapore Polytechnic and AISG’s ongoing efforts to develop customized learning programmes or solutions for local companies in the crucial business transformation processes.
The launch of AIRI is timely, serving to inform organisations’ readiness for AI and pointing them to AI Singapore’s programmes available to accelerate their readiness. SGTech is pleased to be part of this initiative, and we encourage companies across all sectors to take the AIRI assessment so that can take the next step in their journey to leverage AI in their businesses.
AIRI is a useful tool for organisations to assess where they stand in their AI journey. AIRI will enable AISG to better tailor its suite of programmes to each organisation’s needs, and be more effective in helping organisations use and benefit from AI.
Many business executives often share a common misconception that AI is only suitable for large companies with financial means and IT capabilities. The AI Readiness Index (AIRI) directly addresses these misconceptions.
AIRI provided uParcel a quick self-assessment of our organisation’s current AI readiness level. The assessment results allowed us to understand where we currently stand and how to get to where we want to be. As a result of AIRI, uParcel will enrol more software engineers into AISG’s AI For Industry programme to close the gaps identified by AIRI.
Kaplan is pleased to be the first education institution in Singapore to complete the AI Readiness Index assessment. This assessment, which scored Kaplan as being AI Ready, not only provides guidance on key focus areas but also reaffirms that we are on the right track.
The AI Readiness Index is a valuable tool businesses can benefit from as they look to further their AI adoption. It is a great framework that can help us determine the right solutions for our customers, based on their business goals and where they are in their AI adoption journey.