Lloyds & Glasgow Uni AI Research Partnership Glasgow 2026

Key Points

• University of Glasgow and Lloyds Banking Group have launched a four-year research partnership to explore how AI, specifically agentic AI, can support software and data engineering.
• Each quarter, Lloyds’ software and data engineers in Bristol, Manchester, and Hyderabad will collaborate with agentic AI on different tasks to measure impacts on quality and speed of delivery.
• Successful projects from the partnership will be rolled out across Lloyds’ wider data teams and eventually to all software and data engineering teams.
• The collaboration includes creating a PhD position, a Masters of Research position, and a post-doctoral research associate post at the University of Glasgow to work with Lloyds’ teams.
• Lloyds’ contribution is led by Dr Shane Montague, head of research engineering, with executive sponsorship from Professor Andrew McDonald, enterprise data provisioning and technology platform lead.
• Dr Shane Montague stated: “We’re excited to partner with the University of Glasgow to gather rigorous, real-world evidence from day-to-day engineering work, so we can understand what really works and how agentic AI can be applied effectively and responsibly at scale.”
• Lloyds Bank reported in January that generative AI (GenAI) delivered around £50 million of value in 2025, with more than £100 million in additional value expected in 2026, as per its annual financial report.
• In 2025, Lloyds deployed over 50 GenAI solutions, including faster and more intuitive in-app search experiences and quicker, more accurate responses across customer operations.
• The bank is now scaling GenAI across the organisation, maximising existing tools and making “significant strategic investments” in agentic AI.
• On the DevOps front, in-house tools like GitHub Copilot for Engineers have driven a 50% improvement in converting code for established systems.

Glasgow (Glasgow Express) March 30, 2026 – The University of Glasgow and Lloyds Banking Group have announced a groundbreaking four-year research partnership aimed at investigating the transformative potential of artificial intelligence (AI), particularly agentic AI, in supporting software and data engineering practices. This initiative marks a significant step in bridging academia and industry to harness AI’s capabilities responsibly.

What Is the New AI Research Partnership Between Lloyds Bank and University of Glasgow?

The partnership, formally launched this week, focuses on real-world applications of AI within Lloyds Banking Group’s engineering workflows.

As detailed in the official announcement, each quarter will see Lloyds’ software and data engineers based in Bristol, Manchester, and Hyderabad paired with agentic AI systems—advanced AI agents capable of autonomous task execution—to tackle varied engineering challenges. The primary goal is to quantify improvements in task quality and delivery speed.

Successful outcomes from these quarterly experiments will not remain siloed.

They will be scaled across the Group’s broader data teams and, ultimately, integrated into all software and data engineering operations throughout Lloyds Banking Group. This structured rollout underscores a commitment to evidence-based innovation.

In addition to practical engineering trials, the collaboration invests in academic talent development. It will fund a dedicated PhD position, a Masters of Research (MRes) position, and a post-doctoral research associate role at the University of Glasgow. These positions will enable researchers to embed directly with Lloyds’ software engineering teams, fostering a symbiotic exchange of knowledge.

Leading Lloyds’ involvement is Dr Shane Montague, head of research engineering, with executive oversight from Professor Andrew McDonald, who serves as enterprise data provisioning and technology platform lead. Dr Montague expressed enthusiasm for the project, stating as reported in the partnership announcement:

“We’re excited to partner with the University of Glasgow to gather rigorous, real-world evidence from day-to-day engineering work, so we can understand what really works and how agentic AI can be applied effectively and responsibly at scale.”

This initiative builds on Lloyds’ established track record with AI deployment, positioning the bank at the forefront of financial sector innovation.

Why Is Lloyds Banking Group Investing Heavily in Agentic AI Now?

Lloyds Banking Group’s deepened focus on AI stems from tangible early successes with generative AI (GenAI). In a January report covered by Finextra, the bank disclosed that GenAI initiatives yielded approximately £50 million in value during 2025 alone. Looking ahead, projections indicate over £100 million in additional value for 2026, as outlined in the bank’s annual financial report.

These figures reflect the deployment of more than 50 GenAI solutions throughout 2025. Key applications include enhanced in-app search experiences that are both faster and more intuitive for users, alongside accelerated and more precise responses in customer operations. Such tools have streamlined processes, reducing manual effort and boosting efficiency across front-line services.

Having validated these proofs of concept, Lloyds is accelerating its strategy. The bank plans to maximise the utility of current GenAI tools while committing to “significant strategic investments” in agentic AI.

This shift represents a maturation from experimentation to enterprise-wide scaling, with the University of Glasgow partnership serving as a cornerstone for measuring long-term impacts.

How Has Generative AI Already Delivered Value at Lloyds Bank?

The bank’s annual financial report, as referenced in Finextra’s January coverage, provides concrete examples of GenAI’s contributions.

Beyond customer-facing enhancements, internal productivity gains are evident in DevOps practices. Notably, Lloyds has developed in-house tools such as a customised GitHub Copilot for Engineers, which has achieved a 50% improvement in code conversion rates for legacy systems.

This tool assists engineers in refactoring and modernising established codebases more rapidly, addressing a common bottleneck in financial services where outdated systems persist. By automating repetitive coding tasks, it frees human engineers for higher-value problem-solving, aligning with broader industry trends toward AI-augmented development.

Finextra’s article, titled

“Lloyds to go deeper into AI after totting up financial value of current deployments,”

emphasised that these deployments have not only delivered financial returns but also built a foundation for more ambitious agentic AI explorations. The partnership with Glasgow extends this momentum into structured research.

What Roles Will University of Glasgow Researchers Play in the Partnership?

The academic components of the deal are pivotal for generating robust data. The PhD and MRes students, alongside the post-doctoral associate, will conduct in-depth analysis of AI-human collaborations within Lloyds’ distributed teams. Their work will produce peer-reviewed insights, potentially influencing standards for AI adoption in engineering globally.

University of Glasgow’s involvement leverages its strengths in computing science and AI ethics, ensuring the research emphasises responsible deployment. Locations like Bristol, Manchester, and Hyderabad—key Lloyds engineering hubs—will serve as live testbeds, providing diverse datasets reflective of global operations.

Which Lloyds Leaders Are Driving This AI Initiative?

Dr Shane Montague’s leadership in research engineering positions him ideally to oversee the technical aspects. His team will coordinate the quarterly tasks, ensuring alignment with business priorities. Professor Andrew McDonald’s sponsorship guarantees integration with enterprise data strategies, bridging silos between platforms and innovation.

Their combined expertise signals Lloyds’ strategic intent: to evolve from AI user to AI pioneer, with academia validating each step.

What Broader Impacts Could This Partnership Have on UK Financial Services?

This collaboration could set a precedent for UK banking. By quantifying AI’s effects on software engineering—a sector critical to fintech resilience—it addresses skills gaps amid rapid digitalisation. Successful scaling at Lloyds might inspire peers like HSBC or Barclays to pursue similar academic ties.

Moreover, the focus on agentic AI anticipates a future where autonomous systems handle complex workflows, potentially reshaping job roles while enhancing productivity. Ethical considerations, implicit in Montague’s emphasis on “responsible” scaling, will likely feature prominently in outputs.

How Does This Fit into Lloyds’ Overall AI Strategy Post-2025?

The January Finextra report highlighted Lloyds’ transition from testing to transformation. With £50 million realised in 2025 and £100 million+ forecasted for 2026, the bank views AI as a core competency. Deployments like intuitive search and operational AI have proven ROI, justifying escalated investments.

In DevOps specifically, the 50% code conversion uplift via GitHub Copilot exemplifies low-hanging fruit now ripe for agentic expansion. The Glasgow partnership provides the rigorous evidence needed to justify bank-wide rollout.

When Will Results from the Partnership Emerge?

Quarterly cycles suggest initial findings within months, with full four-year insights by 2030. PhD/MRes outputs may appear in journals sooner, accelerating knowledge sharing.

This partnership exemplifies how academia-industry alliances can propel AI responsibly, benefiting Glasgow’s tech ecosystem and UK finance alike. As AI evolves, such evidence-driven approaches will define sustainable progress.