AI implementation: Why preparation is critical to progress

Miles Harris, Customer Growth Director, Peregrine

The AI revolution isn't just coming - it's arrived. While the private sector is racing to implement AI solutions, public sector bodies face unique challenges and opportunities in adopting this transformative technology. The government has established a framework for AI implementation to build leading, safe, responsible, and transparent public services. The wider aims are clear. Through AI, the public will benefit from service transformation and increased confidence. Public and civil servants have the support of tools and information they need to deliver better outcomes. While the goals of AI implementation are clear, how will the public sector prepare for the changes ahead and ensure their plans deliver measurable improvements?

Putting value before speed

The key to effective AI adoption isn't about rushing to implement the most advanced technology available. Instead, it's about finding the sweet spot between AI capabilities and human expertise. Public sector organisations need to start by identifying specific areas where AI can add genuine value, such as:

• Data analysis and insights generation
• Process automation
• Enhancement of people-centric services
• Predictive maintenance
• Supply chain optimisation.

Not every process needs AI intervention. Sometimes, traditional approaches or human expertise remain the most effective solution. The real challenge lies in determining where AI can transform operations versus where existing systems are already optimal. Our AI playbook for the public sector is a natural starting point for insight .

The importance of infrastructure

To prepare for AI implementation, organisations need to develop what we call an AI-ready infrastructure. This includes:

• A robust data strategy covering collection, storage, quality, accessibility, and security
• IT infrastructure capable of supporting AI operations
• ·Comprehensive workforce training and communication programs
• Clear metrics for measuring AI implementation success
• Alignment with broader organisational goals
• What skills are a priority?

Focusing on the talent equation

One often overlooked aspect of AI readiness is talent development. Part I of our AI Transformation Playbook provides detailed insight into skills planning . Organisations need to cultivate new skill sets within their workforce, including:

• Data scientists who can work with large datasets and develop algorithms
• Data analysts capable of interpreting AI-generated insights
• Business analysts who can assess change requirements
• AI engineers for system design and maintenance
• Ethics and governance experts to ensure responsible AI use
• Professionals skilled in AI-human collaboration.

The public sector's AI journey shouldn't be viewed as a race to implement the most advanced technology. Instead, it should be approached as a methodical transformation, starting with small, manageable projects that can be scaled as confidence and capabilities grow. Success lies not in the speed of adoption but in the thoughtfulness of implementation and the careful balance between technological capability and human expertise.

AI adoption isn't an all-or-nothing proposition. The key is finding the right fit for your organisation's specific needs and capabilities, while maintaining focus on your core mission of public service delivery.

Looking for in-depth guidance on AI implementation? Our playbook brings you practical guidance on ensuring your planning is aligned to your talent strategy.

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