AI use cases in United Kingdom
21 documented implementations
Rolls-Royce uses AI turbine blade inspection and engine health monitoring to prevent 400 maintenance events a year
Rolls-Royce uses Microsoft Cloud for Manufacturing, Azure Databricks, and generative AI across engine design, turbine production, and engine health monitoring. Its 'Signature Analyzer' AI/machine learning system inspects turbine blade cooling holes (previously about 2 million inspected manually per month), using machine vibration analysis and generative AI to optimize defect detection, boosting machine utilization 30% and accelerating fault resolution from days to near real time. AI-powered engine health monitoring tracks more than 10,000 engine parameters and detects and prevents around 400 unplanned maintenance events a year, saving millions in repair costs.
NHS Shared Business Services migrates financial systems to Oracle Fusion Cloud
NHS Shared Business Services (NHS SBS) rebuilt the finance and procurement platform for England's National Health Service on Oracle Fusion Cloud ERP and EPM, running on Oracle UK Sovereign Cloud, standardizing some 450 individual finance applications. The organization is using built-in AI capabilities of these cloud applications with the goal of reducing repetitive work and giving staff more time to support frontline services, processing 7.1 million invoices and £355 billion in NHS transactions per year.
PwC applies embedded predictive, generative, and agentic AI to finance processes with Oracle Cloud ERP
PwC deployed Oracle Fusion Cloud ERP across several territories supporting approximately 34,000 employees, using embedded predictive, generative, and agentic AI capabilities to increase productivity, strengthen financial controls, and align planning. PwC also uses the document IO agent in Oracle Cloud ERP to automate document handling across financial processes.
Virgin Atlantic Elevates Travel Experiences with the Databricks Data + AI Platform
Virgin Atlantic unified data across commercial and finance teams on the Databricks Data + AI Platform, using AI/BI Genie for natural language queries and Unity Catalog for governance, reducing booking analysis from weeks to hours.
DEFRA and Natural England Use Databricks to Accelerate Peatland Restoration with AI
DEFRA, working with Natural England and Databricks, uses AI to accelerate peatland mapping across England. Tasks that previously took a week of manual work can now be completed in less than a day, saving weeks or months of effort each year. Automating the mapping of peatlands and restoration features supports protection of habitats that store carbon, support biodiversity, and provide drinking water, advancing nature recovery at a national scale.
Transforming Data Into Member Value: Building a Modern Data Ecosystem
Nationwide Building Society, the UK's largest building society managing £367.9 billion in assets, implemented the Databricks Data + AI Platform in 12 months to consolidate 17 of its 19 data warehouses into a single governed lakehouse on Azure. The platform uses Unity Catalog for governance across more than 5,000 internal users, MLflow for model management, and AI/BI Genie for natural-language queries, supporting personalization, fraud prevention and regulatory reporting for over 24.5 million customers.
NatWest Group Takes on Digital Transformation to Make Home Buying Easier
NatWest Group, a UK banking and financial services company headquartered in Edinburgh serving approximately 19 million people, families, and businesses throughout the UK and Ireland, co-created an AI-powered, cloud-based platform called "Marge" with IBM Consulting. Built with IBM watsonx Assistant technology on IBM Cloud, Marge gives mortgage call center employees real-time digital mortgage support, embedded in NatWest's existing data structures with new data added every minute through content updates and customer interactions. Employees access mortgage policy information by typing keywords into a console while on calls with customers. Since implementing the tool, NatWest saw a 20% improvement in customer Net Promoter Score (a customer loyalty metric) and a 10% decrease in call duration.
ASOS uses Azure AI Foundry to surprise and delight young fashion lovers
UK fashion retailer ASOS used Azure OpenAI Service and Azure AI prompt flow (part of Azure AI Foundry) with ChatGPT language models to build a conversational, AI-powered shopping experience that curates fashion recommendations based on customer preferences and trend data. The team built a working prototype in a few weeks, tested it with 150 internal users plus a sample of real customers with zero safety or security red flags, and verified the absence of jailbreaks during that initial testing; ASOS is confident that Azure AI Content Safety, built into Azure AI Foundry, will play a key role in assuring responsible, top-quality interactions as it moves toward wider customer testing.
Swindon Borough Council makes public information accessible with an Easy Read generative AI tool built on Amazon Bedrock
Swindon Borough Council, a local authority in England, built an Easy Read solution using Amazon Bedrock to make council documents accessible to residents with learning disabilities, low literacy or cognitive impairment. The generative AI summarizes and simplifies complex text and generates matching images, presenting simplified text alongside images on the page. The council tested the tool on a complex tenancy agreement over 50 pages long and, working with a group of Experts by Experience of a Learning Disability, refined the format based on their feedback. Combined with the council's existing Translate solution, content can be produced in 75 languages. Manually adapting a five-page document into Easy Read format previously cost around £500 and took two weeks; the council can now create an accessible multi-page document for 7-10 pence per page. The council plans to make the tool open source for other councils to use.
City of Edinburgh Council cuts translation costs by 90% using Amazon Translate with AWS Partner City Trax
The City of Edinburgh Council, which provides services to over 500,000 residents including more than one in five who speak English as a second language, worked with AWS Partner City Trax to deploy an AI-powered document translation solution using Amazon Translate inside the council's secure AWS environment, with data residing in the UK to meet public sector data compliance standards. City Trax implemented the solution in 10 days, and within weeks 16 members of the customer services team were using it to translate documents into 75 languages within minutes. The council reduced translation costs from as much as £55 per document to £0.07, saving around £39,000 in fees within 10 months of going live, and cut translation delivery times from one week to 24 hours. Human translators still handle documents relating to legal processes as required by UK law.
AI-Media and ITV Announce Landmark Partnership to Revolutionize Captioning Services
ITV, the UK's largest commercial broadcaster, partnered with AI-Media to deploy its LEXI live automatic captioning solution across ITV's broadcast network, including its 18 regional news variants, using AI-Media's SDI Encoder Pro Cards to deliver captioning as VANC embedded data, plus AI-Media's Alta product for ITVX and other IP video workflows. The shift from a manual regional-news captioning workflow to LEXI's automated system is expected to significantly reduce staffing requirements and costs while enabling more captions, increased reliability and reduced latency; ITV's captioning team continues to develop bespoke topic models to maintain accuracy.
Lloyds Banking Group's Pioneering Use of AI at Scale Transforms Employee Experience and Operations
As part of a £4bn technology investment, Lloyds Banking Group rolled out Microsoft 365 Copilot starting with 300 licences via Microsoft's Early Access Program, scaling to a commitment of 40,000 licences by March 2025. A 1,000-strong network of volunteer 'flight-instructors' and weekly 'promptathons' supported adoption, reaching a 93% daily usage rate among licensed colleagues. Nearly 5,000 UK engineers use GitHub Copilot; one team converted 11,000 lines of code across 83 files, cutting a 65-hour task to 30 hours.
NewDay lifts generative AI agent-assist accuracy from 60% to over 90%
NewDay, whose contact centre handles 2.5 million calls a year, built NewAssist, a generative AI assistant on Amazon Bedrock using Retrieval Augmented Generation, out of an internal hackathon. Through iterative experiments — including a custom parser for its knowledge base and injecting internal acronyms into prompts — NewDay raised NewAssist's accuracy from below 60% to over 90%, cut the average time to retrieve an answer from 90 seconds to 4 seconds, and rolled it out to over 150 agents, running on serverless AWS infrastructure for under $400 a month.
UK Solicitors Regulation Authority Approves Garfield.Law as First AI-Driven Law Firm
In May 2025 the UK Solicitors Regulation Authority (SRA) authorised Garfield.Law Ltd, co-founded by Philip Young and Daniel Long, as the first law firm authorised to deliver legal services entirely through AI technology. Garfield operates an AI-powered litigation assistant for small claims debt recovery up to £10,000, guiding users from calculating amounts owed through filing for default judgment, and charges per document rather than hourly. The SRA authorisation included safeguards such as client confidentiality protection, conflict avoidance, user approval at each stage, and controls preventing the AI from proposing case law to address hallucination risk.
Investec bankers save 200 hours a year with Microsoft Copilot for Sales
Investec, an international bank and wealth manager, was the first Microsoft customer to go live in production with Microsoft Copilot for Sales, rolling it out to 900 bankers in the UK. Copilot generates client history summaries and AI-powered email drafts inside Outlook and Teams, saving roughly 200 hours a year across the bank and shaving about 10 seconds off each post-call CRM update. Investec is extending the rollout to 700 bankers in South Africa.
Balfour Beatty invests 7.2 million pounds in Microsoft 365 Copilot and AI 'smart agents' for construction quality checks
Balfour Beatty announced a 7.2 million pound investment in Microsoft 365 Copilot, one of the largest AI investments of its kind in UK construction and infrastructure. Balfour Beatty is also partnering with Microsoft to develop AI-powered 'smart agents' to improve Quality, Health & Safety and Assurance processes; the first trial is on the A9 Dualling: Tomatin to Moy project in Scotland, automating early-stage reviews of Inspection and Test Plans that traditionally took several hours.
LSEG unifies 30 data systems, reducing product development time with Fabric
LSEG, a trusted data partner to 44,000 customers in more than 170 countries, partnered with Microsoft to build a unified data platform on Microsoft Fabric, consolidating 30 systems, 1,200 datasets and 33 petabytes of data. Using Apache Spark on Fabric, Apache Airflow in Fabric, Microsoft Purview and OneLake, LSEG reduced product development timelines for new data products from years to months; onboarding data and creating a new product now happens in months, accelerating launches such as its ESG and Fundamentals data products. LSEG processes around 80,000 files daily on Spark on Fabric, consuming approximately 280,000 capacity units per day, with month-on-month consumption growing more than 50%. The company is also building AI-readiness by hosting Model Context Protocol (MCP)-powered data in OneLake and enabling financial professionals to build custom AI agents via Copilot Studio.
Southeastern Railway cuts case handling time 10.8% with ServiceNow Now Assist for CSM
Southeastern Railway, working with ServiceNow partner UP3, deployed ServiceNow's Now Assist for CSM to automatically summarize customer chats and cases for its Contact Centre Agents. Since 1 April 2025, Southeastern has routed 27,500 chats to live agents; average case handling time fell by 1 minute 30 seconds, a 10.8% reduction, saving approximately 687.5 hours of agent time (85+ full working days). Southeastern's existing ServiceNow Virtual Agent already handled around a third of customer queries, resolving 80% of those autonomously, with each Virtual Agent interaction 825% more cost-effective than a phone call.
Automation accelerates AstraZeneca's mission to save millions of lives by releasing 20 new medicines by 2030
AstraZeneca partnered with ServiceNow to replace manual research and administrative tasks with the ServiceNow AI Platform as part of its goal to launch 20 new medicines by 2030. A digitized, automated, AI-powered equipment and supplies ordering system on the AskAZ employee portal cut tasks that previously took up to 30 minutes, such as handwritten lab supply orders, down to seconds; more than 60,000 requests across 400+ categories now flow through the platform annually, saving an estimated 30,000+ hours per year. AstraZeneca also built "Onboarding 2.0" on the ServiceNow AI Platform, with personalized portals for new hires; automating roughly 10% of the 50+ hours managers previously spent onboarding each employee is projected to save over 90,000 hours as the company recruits more than 20,000 new employees.
Talkmobile: Setting the standard for modern, digital customer service
Talkmobile, a UK-based mobile network operator founded in 2007, has partnered with LivePerson since 2014 on a conversational AI strategy spanning web messaging, social and digital channels, secure forms, and an intelligent routing bot. LivePerson's conversation data analytics let Talkmobile automate common inquiries such as bill payments and account updates on its Ecare platform, while migrating from web chat to asynchronous web messaging in 2022 drove a 60% increase in average monthly volume within six months. Talkmobile now maintains a 92% customer satisfaction score, a Net Promoter Score of 66, and an 89% first contact resolution rate, with agents responding to customers in under one minute using LivePerson's Agent Workspace.
Fifth Dimension unlocks insights and intelligence with Google Cloud
Fifth Dimension, founded in 2023, provides an AI platform combining machine learning, predictive analytics and natural language processing to uncover hidden patterns in real estate data, processing over 1TB of data per month by 2025. Facing scalability and cost problems with its original infrastructure, the company adopted Google Cloud, building its ML stack on Vertex AI (running Google Cloud Gemini and Anthropic Claude models), plus Cloud SQL, Cloud Run and Pub/Sub. This scaled processing capacity 50x to handle document-processing surges, supported 6x global client growth across multiple regions, and decreased infrastructure costs by 30% through serverless architecture. Model deployment time dropped from weeks to days, platform engagement tripled in 2025, and annual recurring revenue grew 6x in the same year.






