On 2 March 2026, Enterprise Singapore (EnterpriseSG) and Digital Industry Singapore (DISG) announced the Champions of AI Programme — a national initiative to help leading Singapore-based companies transform their business end-to-end with AI. The framing is deliberate: this is about moving beyond pilot projects to enterprise-wide adoption, with AI as a core driver of productivity, innovation, and revenue growth.
That framing matters because it names the exact place most AI efforts stall. We've delivered over 100 projects for Singapore enterprises, and the pattern is consistent — companies run a promising pilot, then struggle to turn it into an operating-model change that touches multiple functions and systems. The Champions of AI Programme is aimed squarely at companies ready to make that jump, and willing to serve as lighthouses for their industry.
For most enterprises the practical question isn't whether to apply on day one. It's understanding what the programme is actually for, whether your organisation fits its criteria, and how it sits alongside the grants you may already be using. Here's our read.
What the Champions of AI Programme actually is
The Champions of AI Programme is a flagship, whole-of-company transformation initiative — not a grant for a single tool or project. EnterpriseSG and DISG lead it jointly, and it is designed to catalyse AI transformation across an enterprise's functions and systems rather than in one department.
The support is customised to each company. Based on the programme details, it covers long-term business transformation roadmaps, implementation support for priority AI projects, change management and workforce training, help building internal AI teams, and facilitation of partnerships with expert solution providers. In other words, it addresses the roadmap, the build, the people, and the partners together — the four things that a genuine enterprise-wide transformation needs at once.
The programme will pilot with a small number of companies first and expand over time. That staged rollout is a signal in itself: EnterpriseSG and DISG are prioritising depth of transformation in a few lighthouse enterprises over breadth, at least to start.
Who the programme is for
Eligibility is defined by readiness, not size or sector alone. Companies are expected to demonstrate three qualities. First, leadership ambition and commitment to significant end-to-end AI transformation — this is a board-level decision, not an IT initiative. Second, modern digital and data infrastructure suited for AI adoption, because AI built on fragmented or ungoverned data rarely survives contact with production. Third, the capacity to devote resources over a sustained period, including organisational change management and workforce upskilling.
Read together, those criteria describe a company that already has its data house in reasonable order and is prepared to change how it operates — not one hoping AI will paper over an unresolved process problem. If your data is scattered across systems with no single source of truth, the honest first step is to fix that foundation before pursuing lighthouse-level transformation.
This is the clearest way the Champions of AI Programme differs from a standard grant. It is selective by design, and the selection is about commitment and readiness rather than a checklist of eligible expenses.
How it fits with the PSG, EDG, and NAIP
The Champions of AI Programme doesn't replace the grants most companies already know. It sits above them as the transformation frame, while the existing schemes fund specific pieces of the work.
If a step in your roadmap is a pre-approved, off-the-shelf capability — document processing, analytics, a customer-service AI tool — the Productivity Solutions Grant (PSG) remains the route, with up to 50% co-funding. If a step is bespoke — a reconciliation engine tuned to your data, a custom workflow built on top of your existing systems — the Enterprise Development Grant (EDG) is the right vehicle, covering up to 50% of qualifying project costs under its Innovation and Productivity pillar.
The National AI Impact Programme (NAIP) is the broad base of the same national push: helping 10,000 enterprises and 100,000 workers become AI-capable over three years, largely through an expanded PSG catalogue and TeSA workforce training. The Champions of AI Programme is the deep end — intensive transformation for a smaller set of leading companies. The intent is that what these champions prove out, in frameworks and approved providers, filters down to the wider market through NAIP.
What a strong Champions of AI transformation looks like
Across the enterprise-wide AI work we've supported, the strongest programmes share a shape. The transformation is anchored to a small number of high-value business outcomes — not a long list of experiments. The roadmap sequences those outcomes so that early wins fund and de-risk later, harder ones. And the workforce that will operate the systems is brought in from the start, not handed a finished platform on go-live day.
A concrete example of the sequencing: a company might begin with an AI document-processing capability that removes a well-understood manual bottleneck, prove the value and the operating discipline on that, then extend into intelligent automation across adjacent workflows, and only then attempt the harder, cross-functional systems. Each stage builds the internal AI team's capability and the organisation's trust in the systems.
That approach — outcomes first, sequenced roadmap, people throughout — is exactly what the Champions of AI Programme is structured to support with its roadmap, implementation, change-management, and team-building components.
Where TechAtrium fits in
TechAtrium doesn't administer the Champions of AI Programme — EnterpriseSG and DISG do. Our role is downstream of the selection and inside the roadmap: building the production-grade AI systems the transformation depends on, and advising on which parts of the roadmap warrant a bespoke build versus a pre-approved tool.
In practice, that means we help translate a transformation roadmap into a delivery plan — document processing pipelines, intelligent automation, AI-augmented workflows, and the integrations that make these systems run reliably inside an existing operations stack. Where a step qualifies for the PSG or the EDG, we help scope it so the funding application rests on a credible problem statement and quantified outcomes.
We've delivered over 100 projects for Singapore enterprises, and the difference between a transformation that sticks and one that stalls is almost always the scoping and the operational ownership set before anyone writes code. That's where we do our most valuable work.
Common mistakes to avoid
The first mistake is treating the Champions of AI Programme as a grant to draw down. It isn't a rebate on software — it's a commitment to change how the business operates. Applications that read like a technology shopping list miss what the programme is asking for: leadership conviction and a real transformation plan.
The second is pursuing lighthouse-level transformation on an unready foundation. If your data is fragmented and ungoverned, that is the first project — not something to work around. The eligibility criteria's emphasis on modern data infrastructure is not a formality.
The third is under-resourcing the workforce component. Enterprise-wide AI fails most often not because the models are wrong, but because the people expected to run them were never trained or trusted to. Build change management and upskilling into the plan from the start, exactly as the programme's design assumes.
The fourth is waiting for full public clarity on funding quantum before acting. Specific award amounts and targets for the programme have not been published, and the rollout is staged. If your business case for AI transformation is strong today, the right move is to get your data foundation and roadmap in order now — so you're ready when the programme opens to more companies.
The bottom line
The Champions of AI Programme is Singapore's clearest signal that AI is expected to reshape how leading enterprises operate — not sit in a corner as a pilot. EnterpriseSG and DISG are backing companies willing to commit to end-to-end transformation and to serve as examples for their industries.
For enterprises, the action is straightforward even before the programme opens widely: get your data foundation in order, define the two or three high-value outcomes AI can credibly improve, sequence them into a roadmap, and plan for the workforce change from day one. The PSG and EDG can fund specific builds along the way; the National AI Impact Programme widens the base beneath it all.
If you're trying to work out which parts of an AI transformation warrant a bespoke build and which fit a pre-approved tool — and how to scope them so they actually reach production — that's a conversation we're happy to have.