Raffles Consulting Services
Prioritise a NAIIP AI portfolio by comparing business value, process readiness, data, people, risk and the cost of adoption across use cases.
A NAIIP AI portfolio should not begin with the loudest vendor demonstration or the department that submits the longest wish list. IMDA’s AI Impact Playbook uses a diagnose, match and act pathway and assesses five business dimensions. A company can turn that framework into a transparent portfolio decision that selects a small number of testable first use cases.
Diagnose the NAIIP AI portfolio
Collect use cases in a common format: user, workflow, current problem, volume, decision consequence, data, expected value, affected workers and required authority. Group duplicates and split broad ambitions into specific tasks. Record the current process before proposing AI, because an unstable or unnecessary task should not be automated simply because a tool can generate an output.
The IMDA National AI Impact Programme factsheet sets the national enterprise and workforce ambition. The IMDA AI Impact Playbook factsheet describes diagnose, match and act, supported by five dimensions covering strategic fit, business impact, data readiness, organisational readiness and governance. Use current IMDA materials and real company evidence together.
Score value, readiness and consequence separately
Score the size and frequency of the business problem, but do not let potential value conceal weak data or high consequence. Assess source availability, data quality, integration, human review, security, legal or sector duties and the ability to stop or reverse an action. Record uncertainty and require evidence for unusually high benefit estimates.
Create a portfolio view with quick tests, foundational work, strategic bets and rejected ideas. Reject or defer use cases with no clear owner, unreliable source data or consequences that cannot be safely reviewed. Apply the responsible AI work-instruction guide before treating a selected use case as deployment-ready.
Fund clear learning decisions, not vague pilots
For each selected case, define the smallest useful test, comparison baseline, permitted users, data boundary, quality threshold, cost ceiling and stop conditions. Decide what evidence allows expansion, redesign or termination. A pilot that cannot fail clearly tends to become an indefinite subscription without a business decision.
Review the portfolio at fixed intervals and reallocate people or budget using measured results. Keep rejected ideas and reasons so they are not repeatedly reintroduced without changed facts. Include worker feedback, exception handling and total adoption cost. The goal is not the largest AI catalogue, but a sequence of use cases that produces verified value and durable capability.
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 NAIIP AI-bilingual role 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
- Use cases normalised
- Five dimensions assessed
- High-consequence work screened
- Test decisions defined
- Portfolio review scheduled
A NAIIP AI portfolio is ready when use cases are comparable, value and consequence are separated, readiness gaps are visible, and every selected test has evidence-based expansion or stop decisions.