AI Guide For Boards in Singapore

AI GUIDE FOR BOARDS IN SINGAPORE

Section V: Organisational Resilience and Capability

9.3 Assessing Digital Readiness

Boards should look beyond pilots and ask whether the organisation is operationally ready for AI adoption at scale, using a Digital Readiness Checklist . is includes secure access management, governance processes, data retention controls, systems integration, workforce readiness and the ability to embed AI into real business workows.

performed across the enterprise. An organisation may demonstrate strong interest in AI while still lacking the workow clarity, systems integration, internal coordination, or governed data access required to generate sustainable business value. Boards should consider whether the organisation is set up only to experiment with AI, or whether it is ready to operationalise AI across teams, systems and recurring business processes.

Organisational readiness should also be assessed in terms of how work is actually

Digital Readiness Checklist

Before scaling AI initiatives, boards should ensure management conducts a comprehensive digital readiness assessment covering:

Infrastructure robustness • Can existing systems support increased AI-related computational demand without compromising performance or resilience? • Are failover, redundancy, backup and disaster recovery capabilities in place for AI- enabled workloads? • How will the company handle rapidly changing AI capabilities while managing costs, reliability and maintenance? Cyber security posture • Are AI systems, training pipelines and data repositories protected against adversarial attacks, data exltration, prompt injection and model poisoning? • Do existing systems need to be upgraded against threat actors’ dynamic capabilities? Data governance maturity • How should company-sensitive and customer-sensitive data be treated? • Does the organisation classify data appropriately, enforce access controls, maintain audit trails and ensure traceable data lineage for compliance and accountability purposes? Operational responsiveness • Can the organisation detect anomalies early, respond rapidly to incidents, and recover eectively from AI-related operational or cyber disruptions?

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