Lloyds Banking Group has rolled out almost 30,000 Copilot licences as part of its transformation journey.

According to the bank, 93 per cent of its workforce are now actively using Copilot tools.

The AI rollout forms part of the organisation's wider £4 billion investment in technology and data, which it announced in 2022.

Lloyds said that the deployment of Microsoft's Copilot tool is helping teams summarise documents, prepare for meetings, and reduce administrative tasks, with a recent survey of its staff showing that an average of 46 minutes have been saved per day with Copilot.

GitHub Copilot is also currently being used by nearly 5,000 engineers to help transform the bank's operations.

“We quickly identified the transformative impact that AI could deliver across our organisation, and over the last few years have put in place the assurance frameworks and tools we need to deploy AI safely and at scale,” said Ranil Boteju, chief data and analytics officer, Lloyds Banking Group. “With these foundations in place, we’re reimagining how we operate by embedding AI across our business to drive smarter decisions, faster outcomes and better experiences."

Vic Weigler, chief technology officer at Lloyds Banking Group added that the business has converted 11,000 lines of code across 83 files in half the expected time.

“We’re committed to enabling engineering excellence, by equipping our teams with tools like GitHub Copilot that empower them to do their best work, accelerate delivery, and drive innovation across the organisation," he added.

The news comes after Lloyds Banking Group has rolled out a number of AI projects and training programmes in recent months.

Last week, the bank announced it was putting all senior leaders through a bespoke AI training programme.

More than 110 staff have completed the group’s 80 hour 'leading with AI' course.

The programme includes hands-on sessions, virtual masterclasses, and real-world projects with potential future genAI use cases put forward to progress to pilot phase.

Lloyds Bank said that these include using genAI to support market insights, customer relationship management (CRM) integration for commercial customers, freeing up time for strategic, high-value client engagement and improving overall customer experience and retention.

In July, the organisation launched an AI customer knowledge hub, the bank’s first large scale generative AI tool designed to support its customer service employees.

At the time, the bank said the rollout marked a significant milestone in its digital transformation journey, adding that it would improve the customer experience by reducing customer waiting times.

In the summer, the bank also held a data and AI school which included over 250 sessions for its workforce, ranging from agentic and generative AI, data strategy, data visualisation, machine learning, and data management.

The sessions were delivered across the UK, with a record 90,000 colleagues registering to attend.

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