AI Vendor Evaluation Lab in Singapore

All AI workflows covered in this programme comply with PDPA obligations. The Personal Data Protection Act (PDPA) imposes financial penalties of up to 10% of an organisation's annual turnover in Singapore for organisations with annual local turnover exceeding S$10 million. The PDPA requires mandatory data breach notification to the PDPC within 3 calendar days of assessing that a notifiable breach has occurred. We build PDPA-compliant data handling, consent management, and audit trails into every practical exercise.

This programme is eligible for the SkillsFuture Enterprise Credit (SFEC) providing S$10,000 per employer at up to 90% offset, and the Enhanced Training Support for SMEs (ETSS) offering up to 90% course fee subsidies. The Productivity Solutions Grant (PSG) may also cover pre-approved AI solutions at up to 50% funding.

AI Verify is IMDA's AI governance testing framework that helps organisations assess their AI systems against 11 internationally recognised AI governance principles covering areas such as transparency, fairness, explainability, and accountability. While voluntary, aligning AI deployments with AI Verify principles demonstrates governance maturity to regulators and stakeholders. We integrate relevant AI Verify principles into all programme content.

Among Singapore businesses that adopted AI, 82% reported revenue increases averaging 19%, while 90% report significant productivity improvements. Our programme participants typically see measurable results within the first 30-60 days of implementation.

Roughly 83% of Singaporean employers report a critical shortage of specialised IT talent, particularly in AI. The median annual salary for AI professionals reached S$133,300 in 2025, nearly double the national median of S$69,600. Upskilling your existing team through structured AI training is significantly more cost-effective and sustainable than competing for scarce AI professionals. This programme delivers practical skills your current team can apply immediately.

Our lab provides structured evaluation frameworks that cut through vendor marketing to assess what truly matters: proven capabilities, security standards, integration requirements, pricing transparency, and long-term viability. You will leave with vendor comparison templates and due diligence checklists that help you make objective, evidence-based procurement decisions every time.

Yes, vendor lock-in prevention and contract negotiation are core components. You will learn strategies for structuring contracts that protect your data, ensure portability, and include performance guarantees. We also cover RFP frameworks and pricing model analysis so you can negotiate from a position of knowledge and avoid the costly mistakes that many organisations make with their first AI vendor.

Vendor lock-in is one of the most expensive mistakes organisations make when adopting AI, and it is a core focus of this lab. We teach you how to evaluate contract terms, data portability clauses, and integration architectures that protect your flexibility. You leave with negotiation strategies, RFP templates, and technical due diligence checklists specifically designed to ensure you maintain control over your data and can switch providers if a vendor relationship no longer serves your needs.

Your team leaves with a complete procurement toolkit that includes a weighted vendor scoring matrix customisable for different AI use cases, a technical due diligence questionnaire covering security architecture, data residency, integration capabilities, and scalability, a reference check interview guide with specific questions to ask vendor customers, a total cost of ownership calculator that accounts for licensing, implementation, training, and ongoing maintenance fees, and a contract review checklist highlighting the clauses that matter most in AI vendor agreements. We also include sample RFP language that has been refined through dozens of successful AI procurement processes across Southeast Asia. These materials dramatically reduce the time and expertise required to run a rigorous evaluation, even if your team has never procured AI solutions before.