How to build an AI strategy

What does your organisation need to do? 

Define your vision and outcomes 

Start with clarity. What do you want AI to achieve? Whether it’s automating manual tasks or improving customer experience, your strategy should have purpose. Define measurable outcomes such as increased accuracy, reduced operational costs or improved service delivery. These will guide your decisions and help demonstrate value. 

AI should integrate with your wider digital transformation plans, and you need to ensure you’re truly ready for AI. This ensures it complements existing systems, supports strategic priorities, and gains support across the organisation. 

Assess readiness and capability 

Before deploying AI, evaluate your data, infrastructure and skills. Is your data clean and accessible? Are your systems compatible with AI platforms? Do your teams understand how to use AI responsibly? A readiness assessment will highlight gaps and help you build on solid foundations. 

Upskilling is essential. Invest in AI literacy across all levels of your organisation. This reduces resistance, improves adoption and ensures ethical use. Consider tailored training programmes, appoint internal champions and encourage collaboration between departments. 

Prioritise governance and ethics 

AI must be transparent, fair, and accountable. Develop policies around data use, bias prevention and decision oversight. Establish governance boards or working groups to monitor AI initiatives and ensure compliance with regulations. 

Responsible AI should be part of your strategy from the outset. Include principles such as human oversight, explainability and inclusivity. Communicate clearly with stakeholders about how AI is used and what safeguards are in place. 

Start small and scale with confidence 

Pilot projects are a practical way to test AI’s value. Choose use cases that are low-risk but capable of delivering meaningful results. Use these pilots to refine your approach and build momentum. Once proven, expand to other areas with a clear governance framework in place. 

Collaborate and adapt continuously 

AI evolves rapidly. Stay ahead by working with trusted partners, sector bodies and peer organisations. Share learning, explore best practice and adapt your strategy as technologies and regulations change. 

The technical side: how do you get started?

Building an AI strategy isn’t just about vision and governance. It also requires the right technical foundations. From infrastructure and data readiness to platform integration and security, the technical side of AI can be complex, but that’s where we come in.

Phoenix supports organisations with end-to-end technical enablement. Whether you’re deploying machine learning models, integrating AI into existing systems, or ensuring compliance with data governance standards, our team provides tailored guidance and hands-on support.

We offer:

• Azure AI and Machine Learning expertise: for organisations ready to build and train custom models, Phoenix helps you leverage Azure’s advanced capabilities to create scalable, secure AI solutions
• AI Data Governance Workshops: these sessions help you navigate privacy risks, shadow IT, and compliance challenges. You’ll leave with a bespoke governance framework and clear next steps for responsible AI use
• Security and compliance support: with Phoenix Protect – Active Response, our managed SIEM service built on Microsoft Sentinel, you gain real-time threat detection, 24/7 monitoring, and expert analysis to keep your AI systems secure
• Accessibility and ethical deployment: we help ensure your AI tools are inclusive and responsibly implemented, supporting users with diverse needs and aligning with sector standards