Accelerate Business Transformation through AI
An initiative by Digital Industry Singapore (DISG) and Google Cloud to drive AI adoption for Singapore-based companies.
The AI Cloud Takeoff program is a 6-month program designed to help Singapore-based companies accelerate business transformation through the adoption of AI. It provides businesses with the necessary resources, expertise, and a structured framework for rapid AI adoption and tangible results.
In partnership with Digital Industry Singapore (DISG) and Google Cloud, PointStar is the chosen digital solutions consultant to help your business drive AI adoption. Through this program, companies in Singapore can get access to:
- 6 months of Subsidized Professional Services: Access 70% subsidies, up to SGD 105,000 from the ECI program.
- Hands-on AI Training and Google cloud credits: Participate in a comprehensive 2-week training program and receive $200,000 worth of on-demand training licences for your Organization.
- Structured AI Implementation Framework: Utilize a defined framework for designing your AI Blueprint.
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Why Participate?
This program guides businesses through a hands-on structured AI implementation framework. Join us if you want to:
- Accelerate AI Adoption: Equip your business with the essential resources and expertise for swift and effective AI adoption.
- Drive Tangible Results: Facilitate the building and successful deployment of AI projects into production, generating measurable business value.
- Build an AI Center of Excellence (AI CoE): Provide critical consultancy and services funding, leveraging the SG Enterprise Compute Initiative, to establish an in-house AI CoE within your organization.
- Access Cutting-Edge Technologies: Grant exclusive access to the latest AI technologies and comprehensive resources provided by Google Cloud, ensuring your solutions are at the forefront of innovation.
About this Program
This program offers up to S$555,000 in support for eligible companies, which includes both cloud computing credits and consulting services. The cloud credits, provided by Cloud Service Providers (CSPs), give you access to computing power, training, and technical tools. The consulting services, offered by Consultant Partners, help with strategy and technical implementation.
The government primarily funds this initiative, providing a 70% subsidy on the total consulting cost, with a maximum consulting cost of S$150,000. Companies are required to contribute 30% of the total consulting cost, up to a maximum of S$45,000.
Eligibility Criteria
- Business entity registered/incorporated and physically present in Singapore.
- Total organization headcount of at least 10 in Singapore.
- In-house tech team of 2 or more pax (software engineers, AI engineers, and/or data scientists).
- Has accessible datasets for the AI use case.
- Support from CEO or equivalent-level executive sponsorship.
AI Cloud Takeoff Program Outline
WEEK 1 - WEEK 2
Phase 1
Onboarding & Enablement
This initial phase focuses on building a strong foundation of AI understanding within your organization.
Company Onboarding & Technical Assessment
Duration: 1 week
During this crucial first week, several key activities will be undertaken to set the foundation for your AI journey. You will collaborate with us to define problem statements and map potential AI solutions, identifying how AI technologies can address specific business challenges.
A thorough workflow and data analysis will be conducted to assess existing operational workflows and available data sets, ensuring data quality and relevance for AI implementation.
Initial discussions will also focus on ROI and productivity gain analysis, estimating the potential economic benefits and efficiency improvements from deploying AI solutions. Throughout this week, we will also conduct an initial technical assessment of your current IT infrastructure and existing use cases to understand your specific needs, capabilities, and challenges, thereby laying comprehensive groundwork for subsequent phases of the program.
In-person AI Bootcamp
Duration: 1 week
Your team will participate in an intensive in-person bootcamp focusing on technical enablement, AI/ML best practices, and the establishment of an AI Center of Excellence (CoE) within your organization.
Alongside the bootcamp, dedicated consultation sessions with your partner will help fine-tune and prioritize AI use cases and identify potential business value. This includes setting up a Google Cloud Platform (GCP) training environment.
WEEK 3 - WEEK 8
Phase 2
Solution Design & Planning
In this phase, we will work with you to define a clear roadmap and architecture for your AI initiatives.
Roadmap Development & Use Case Identification
Duration: 6 weeks (Ongoing)
Through workshops with key stakeholders, we will help assess your current state and develop a comprehensive AI roadmap. This process includes the ideation of process and solution architecture design, where potential AI solutions are conceptualized and high-level architectural blueprints are sketched out.
Furthermore, this activity involves detailed requirement mapping for AI solution development, translating business needs into specific technical requirements for the AI model and its integration. We will also facilitate business assessment and feasibility analysis, evaluating the practicality and potential impact of the proposed AI initiatives within your organizational context. This activity culminates in further identifying and prioritizing AI use cases that align with your business objectives and defining high-level AI CoE processes.
Scoping Statement of Work (SOW) & AI Platform Blueprint
Duration: 6 weeks (Ongoing)
This critical step involves defining the detailed scope of work for the subsequent MVP development. You will also work on creating a blueprint for your AI platform, outlining the necessary infrastructure and processes to support your AI initiatives.
WEEK 4 - WEEK 20
Phase 3
Solution Development
This phase is dedicated to the hands-on development and testing of your chosen AI use case.
Solution Development & Fine-tuning
Duration: 4 months (Ongoing)
This activity focuses on the core technical work of building your AI solution. It begins with comprehensive data preparation and prompt engineering, ensuring your data is clean, relevant, and optimally formatted for model training, and crafting effective prompts for generative AI models.
Following this, the team will proceed with solution development and fine-tuning, where the AI models are trained, iterated upon, and optimized for performance, accuracy, and efficiency based on your specific use case.
Finally, system testing and evaluation will be conducted rigorously to validate the solution’s functionality, performance, and reliability against predefined metrics and business requirements.
Solution Customization and Go-live
Duration: 4 months (Ongoing)
This activity prepares your AI solution for real-world application and deployment. It involves solution integration with application development, seamlessly embedding the AI model into your existing systems, applications, or workflows to ensure smooth operation.
This is followed by further model fine-tuning & prototyping, where the solution may be refined based on preliminary testing and user feedback, and prototypes are developed for internal review.
The phase culminates in solution go-live and implementation, where the AI solution is officially deployed into your production environment, marking its transition from development to active use.
WEEK 20 - WEEK 24
Phase 4
Operationalization & Optimization
Operationalize and Optimize
Once the solution developed is successfully tested, the focus shifts to bringing the AI use case into full production. This includes ongoing testing and review, optimizing your AI CoE processes, and planning for future enhancements. The final delivery of consulting services will also occur in this phase.
Future Roadmap & Growth
With a successful AI solution in place, this activity involves expanding the use cases and evolving your AI architecture on the chosen cloud platform. It also includes contract negotiations for AI production to unlock further cloud credits and continued growth of your AI CoE and teams. This phase also includes a post-program survey and review to assess readiness for broader and longer-term AI plans.
The growing demand for AI
79%
of workers say that AI skills will
broaden their job opportunities¹
21x
increase in job postings mentioning
AI technologies²
1.75
average hours saved each day
reported by employees who use
generative AI³
PRESS RELEASE
Google Cloud and DISG launch
AI Cloud Takeoff to help 300 Singapore firms build AI Centers of Excellence and create AI-driven products and services
Singapore, June 13, 2025
Google Cloud and Digital Industry Singapore (DISG) have launched the “AI Cloud Takeoff” (AI CTO) program, a national initiative to empower 300 Singaporean companies in establishing AI Centers of Excellence. This program, part of the Enterprise Compute Initiative, offers a proven framework, up to SG$500,000 in financial incentives, and access to Google Cloud experts and resources to drive AI-driven innovation and enhance competitiveness.
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Frequently Asked Questions (FAQ)
Yes. Companies from all sectors (except for companies in the gambling and betting industry) may apply for the programme as long as the eligibility criteria is met.
Applications will be assessed based on the company meeting the baseline criteria, and the potential impact of the proposed use case to the company and the broader industry.
Yes, you are eligible if your company meets the criteria for ECI and the proposed use case is differentiated from the other projects that have received government support.
This includes consultancy services aimed at developing an AI roadmap based on the submitted use-case, and eventual change management execution plans. The consultancy services rendered must go beyond strategy consulting and focus on technical implementations.
No. This is not allowed. We encourage the parent entity to join the programme to chart an AI transformation strategy for the entire company group.
No, please submit a single application with your main use case. Should the application be approved, your assigned CSP and partner will be happy to discuss the different use cases you have in mind and advise on a prioritisation framework and implementation roadmap as needed.
Unsuccessful applicants are welcome to apply again with a revised or new project proposal. However, applicants should ensure that there have been meaningful modifications since the prior submission.
No, you will need to work with a pre-qualified Consulting Partner on the ECI list. These SIs are selected based on their familiarity with the CSPs’ cloud credits and tools. If your application is approved, your assigned CSP will get in touch with onboarding information including your assigned partner.
The programme will equip companies with a roadmap for AI organisational transformation, which could involve change management processes within the company.
About PointStar
A Regional Google Cloud Premier Partner
PointStar is a certified Google Cloud Premier Partner in the South East Asia region, in Singapore, Malaysia and Indonesia.
Holding the highest level of Google Cloud proficiency with a full suite of Google Cloud Premier Partner credentials, PointStar is equipped to deliver comprehensive solutions across the entire Google Cloud platform.
12024 Work Trend Index Annual Report
2LinkedIn. Future of Work Report (2023) Visier. Survey Report: Closing the Global Skills Gap(2023)
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