AI is no longer a future concept. It is already transforming how organisations automate processes, generate insight, improve customer experiences and support faster decision making.
The challenge is that many AI initiatives struggle to move beyond pilots. Some fail because the use case is unclear. Others are held back by poor adoption, fragmented data, security concerns, limited governance or uncertainty around which AI tools are right for the organisation. To succeed with AI, organisations need more than technology. They need a clear strategy, trusted delivery expertise and a practical path from idea to adoption.
Organisations using AI effectively are able to:
AI does not work in isolation. Every AI model, Copilot response and agent action depends on the systems, permissions, workflows and data behind it.
That does not mean every AI project needs a complete data transformation before it can begin. But it does mean AI needs to be designed with the right foundations in mind, including data quality, security, integration, governance and user adoption.
Where needed, our AI specialists work alongside our Data, Cloud, Cyber Security, Applications and Digital Workplace teams to make sure AI initiatives are secure, connected and ready to scale.
Discover how a UK local authority worked with Telefónica Tech to explore how generative AI could support a complex provider evaluation process. By using AI to assist with assessment, comparison and decision support, the council aimed to reduce administrative workload, improve consistency and help brokerage teams make faster, more informed decisions.
See how Telefónica Tech helped apply AI to support clinical research by reducing the manual effort involved in medical image redaction. The solution helped protect sensitive patient information while enabling researchers to access the data they need more efficiently, supporting innovation without compromising privacy or governance.
Learn how AI helped an organisation unlock measurable efficiency by reducing manual effort, accelerating delivery and freeing teams to focus on higher-value work. With the right use case, technical approach and adoption plan, the project demonstrated how AI can move beyond experimentation and deliver clear business impact.
Explore how AI is being used to support smarter environmental insight, planning and decision making. By applying intelligent analysis to complex data, organisations can better understand patterns, identify risks and make more informed decisions across land, coastal and environmental management.
Discover how a UK local authority worked with Telefónica Tech to explore how generative AI could support a complex provider evaluation process. By using AI to analyse referral documents and provider submissions, the council’s brokerage team was able to compare requirements more efficiently, improve consistency in assessments and identify the most suitable provider options more quickly. Delivered through a Microsoft-funded proof of value, the project showed how AI can reduce administrative workload while giving staff more time to apply professional judgement.
AI consulting services help organisations identify, design, build and scale artificial intelligence solutions. This can include AI strategy, use case discovery, proof of concept delivery, generative AI, AI agents, Microsoft Copilot, governance and adoption support.
AI can help improve productivity, automate manual tasks, support faster decision making, improve customer experience, reduce cost and unlock new ways of working. The best use cases depend on your business goals, processes, data and technology environment.
Generative AI creates content, such as text, summaries, code or responses. Agentic AI goes further by planning and taking action across systems. For example, a chatbot may answer a question, while an AI agent could update a record, trigger a workflow or complete a multi-step process.
Not always, but AI does need trusted foundations. Some use cases can begin with a focused proof of concept, while others may require improvements to data quality, access, governance or integration before they can scale safely.
We design AI solutions with governance, security, access control, privacy and compliance in mind from the beginning. This includes reviewing data usage, managing permissions, defining policies, validating outputs and creating clear controls for responsible adoption.
Yes. We support the full AI lifecycle, from strategy and proof of concept through to pilot delivery, production deployment, adoption, governance and ongoing optimisation.
Whether you’re defining your AI strategy, exploring use cases, deploying agents or scaling AI across the organisation, our AI specialists can help define the right next step. We’ll assess your current environment, identify opportunities, including any funded or partner-backed assessments, and provide clear, actionable recommendations aligned to your business goals.
