Phase Two

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Phase Two – Development

With the governance scaffolding in place, this phase focuses on deepening practical implementation knowledge, identifying high-value use cases, and addressing AI-specific data and security risks.

Modules 5 and 6: Deepen Capability, Secure Infrastructure, and Unlock Strategic Use Cases

Module 5: Thematic Workshops & Implementation Discovery

Facilitated sessions exploring key AI themes, such as automation, compliance, productivity, and customer experience. These workshops help identify where AI can create value and how to turn ideas into implementation projects.

Practical Outcomes

  1. Map high-impact workflows ripe for AI augmentation
  2. Conduct hackathons or idea sprints to surface internal use cases
  3. Upskill internal teams on how AI can support service delivery
  4. Build momentum and demystify AI for non-technical staff
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Module 6: Data & Security Diagnostic

A deep dive into your data infrastructure and cyber readiness for AI deployment. This diagnostic identifies gaps in data governance, privacy protocols, and cyber risk controls tailored specifically to AI contexts.

Practical Outcomes

  1. Highlight weak spots in your data supply chain and information governance
  2. Test your AI systems against security, bias, and misuse risks
  3. Align your data handling practices with GDPR and evolving AI regulations
  4. Strengthen organisational resilience and trust in AI-powered services