Raffles Consulting Services

National AI Impact Programme: prepare a scaling baseline

Use the National AI Impact Programme as a planning context for an enterprise AI scaling baseline without assuming programme access or grant approval.

Singapore’s National AI Impact Programme aims to deepen AI adoption across enterprises and worker capability. Its national targets and support mechanisms are policy context, not an automatic award to an individual company. A business should use the programme signal to build a practical baseline: where AI is already used, which workflows matter, what evidence is missing and which people remain accountable.

Map current AI use before choosing a programme route

List production, pilot and informal AI use by workflow, owner, users, data, supplier and customer impact. Record the current cost, cycle time, error rate and control. The IMDA National AI Impact Programme factsheet describes the national enterprise and worker objectives, Digital Leaders Accelerator direction, pre-approved solutions and AI-bilingual workforce initiatives.

Do not classify a company as advanced because staff use public AI tools. Separate individual assistance from integrated workflow change and enterprise-scale transformation. Record shadow use and data exposure candidly so governance and training priorities are based on the actual starting point.

Prioritise scalable use cases

Score each candidate workflow for business value, data readiness, integration, risk, user adoption and ability to measure an outcome. Choose a small portfolio with an accountable business owner and clear stop conditions. Keep funding options outside the score until the company confirms the current route and requirements.

Use the current IMDA AI resource for governance context. Define human approval at consequential points, protect confidential information, test failures and plan fallback operation. A high-volume use case is not suitable if the company cannot observe errors or intervene.

Connect technology change to worker capability

For every selected use case, describe which tasks change, which judgment remains human, what new checks are required and who needs training. Measure both workflow outcomes and worker capability. Avoid presenting headcount reduction as the only value measure when quality, risk, service and higher-value work are material.

Review the baseline after each pilot and before wider deployment. Replace estimates with actual results, document rejected use cases and preserve versioned tests. The output should be a controlled adoption roadmap, not a claim that national programme goals guarantee business success.

Turn the decision into a controlled file

Use a dated decision record that identifies the applicant, business need, current official source, chosen route, responsible owner, costs, milestones and evidence. Separate facts already verified from forecasts and assumptions. A catalogue listing, supplier statement, consultant recommendation or portal acknowledgement does not establish approval. The company remains responsible for its declarations and commercial decision.

Give each quotation, contract, invoice, payment and deliverable a stable reference. Preserve earlier versions and explain material changes instead of silently replacing them. Where the authority, tax adviser, auditor or another professional must decide a point, record the open question and obtain the required view. Do not convert uncertainty into a confident eligibility statement.

Review before commitment and again before closeout

Run four reviews: suitability, authority, implementation and closeout. At suitability, test the entity, activity and business outcome. Before commitment, freeze the proposed scope, vendor and financial assumptions. During implementation, compare actual work with approved terms. At closeout, reconcile deliverables, accepted results, invoices, full payment, operating evidence and obligations that continue.

Name the person who may approve each stage and the records that person must see. Procurement should not treat a draft application as permission to contract. A project team should not treat supplier completion as company acceptance. Finance should not treat a submitted claim as cash received. Clear status words prevent accidental commitments and weak reporting.

Handle exceptions without rewriting history

Maintain an exception log for changed facts, delayed milestones, supplier variations, cost movements, missing records and failed tests. State the effect on scope, eligibility, timing and expected value. If an authority decision or formal variation is required, use the published route before relying on the change. Silence and helpdesk receipt are not approval.

If a material defect appears, pause the affected acceptance, filing or claim item. Keep original evidence, assign corrective action and set a review date. Do not backdate records, move costs between categories or adjust a baseline after seeing the result. A candid exception with an owned resolution is more credible than a clean-looking file that cannot explain what happened.

Plan handovers before the original project team disperses. The handover should identify the current version, source locations, system access owner, next review date, open exceptions and any condition that continues after payment or filing. Restrict personal, financial and commercially sensitive records to authorised users, while giving each responsible owner enough information to perform the assigned control. Record the external event that should trigger an earlier review, such as a changed programme page, revised authority letter, supplier failure or material business change.

Verify the final outcome independently

Ask someone who did not prepare the final pack to compare the decision, current official source, approved terms, deliverables, payments and operating evidence. Recalculate totals and sample source records. The reviewer should be able to reproduce the conclusion without relying on the preparer’s memory. Record unresolved points with named owners and dates.

Use the Singapore business support decision guide for the wider decision and keep this article as the narrower operating guide. After submission, preserve the receipt and reconcile questions, adjustments and the final registered or paid outcome. Continue any reporting, retention, asset-use or other condition that survives closeout.

Practical review checklist

  • Current AI use inventoried
  • Workflow baselines measured
  • Use cases prioritised
  • Human controls defined
  • Worker capability planned

The baseline is useful when management can see current AI use, select scalable workflows, assign human accountability and measure worker and business outcomes without assuming entitlement to public support.