Lloyds Banking Group is recruiting nearly 300 agentic AI specialists and launching one of the UK's first Level 6 AI Engineering apprenticeships, a move that signals how quickly autonomous AI tools are entering the contact centre. For customer support professionals, the scale of the investment raises a direct question: are these systems designed to replace agents or to change what agents do every day?
What Lloyds is building
The Group plans to fill agentic AI roles both internally and externally over the coming months - Data and AI Scientists, Engineers, Responsible AI specialists, and AI Product Managers. More than 700 colleagues are already working on these use cases, with over 1,000 AI-related roles planned in 2026. The work includes customer-facing tools like the AI financial assistant, which is now used by more than 500,000 Bank of Scotland customers.
One of the first practical deployments went live this week: AI-powered fraud detection agents that analyse payments in real time, identifying suspected scams before money leaves an account. That kind of tool doesn't replace a support agent - it gives the agent faster, sharper information during a customer conversation.
Sharon Doherty, Chief People and Places Officer, said, "AI is becoming an increasingly important part of how we support customers and how we work across Lloyds Banking Group. As we scale its use, our focus is on making sure it delivers real benefit in day-to-day roles - helping colleagues make better decisions and enabling us to provide faster, more effective and more personalised support for customers. This is about keeping AI practical and accessible, so everyone can use it in ways that make a meaningful difference."
Training at scale, not as an afterthought
The AI Academy, launched in January, has already logged more than 400,000 course completions across all 67,000 colleagues. Over 65,000 colleagues have finished modules on working responsibly with AI. The platform offers interactive learning, workshops, and live demos tailored by role - from everyday users to team leaders and technical builders.
Lloyds also relaunched its Data and AI Summer School, expanding from 200 sessions last year to over 250 this year. Topics range from data literacy and visualisation to machine learning and applied AI, mixing on-demand learning with practical workshops. For professionals in support roles, AI for Customer Support is precisely the kind of skill set these programmes are designed to build.
Agentic AI and the support role
Agentic AI differs from earlier automation because it can act - not just recommend. It can analyse a payment, flag a scam, and trigger an intervention without waiting for a human click. That shifts the agent's job from gatekeeper to handler of more complex, judgment-heavy interactions. A structured AI Learning Path for Call Center Supervisors maps directly onto this emerging reality, where leading a team means understanding what the AI does well and where humans still need to step in.
The pace is fast. Fraud detection agents went live this week. The assistant is in half a million customer hands. The hiring ramp is underway now. For support professionals, the timeline isn't abstract.
Why this matters for customer support professionals
Lloyds is not experimenting in a lab. It is deploying agentic AI into production and hiring the teams to scale it, while simultaneously training tens of thousands of existing staff. The practical takeaway for anyone in a support role is blunt: the technology arriving in your workflow won't ask permission. It will handle discrete tasks - fraud checks, balance queries, routine triage - and your value will move toward the conversations those systems cannot resolve. Knowing how to work alongside an AI agent, and how to supervise one, is becoming a core competency, not a specialism.
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