Agentic BI at Lloyds Banking Group: Redefining enterprise decision making

'GenBI enables colleagues to interact with their data through natural language conversation, asking questions and receiving accurate, contextual insights in real time.'

For decades, Business Intelligence has helped organisations understand what happened. Agentic BI is changing that story, by helping organisations understand what's happening now, why it's happening, and what to do next.

We're thrilled that GenBI has been nominated for Innovation of the Year – Enterprise at this year's AI and Software Development Awards. This is a recognition of a bold new approach to analytics that is transforming how enterprises engage with data at scale.

Dashboards to dialogue

In a complex organisation, traditional BI consumer can often need to view multiple dashboards, covered in filters, slightly different cuts of the same data, to answer a few business questions. Worst case? The specific cut they are looking for isn't in a dashboard, and requires a reporting team to prioritise the request, sometimes waiting weeks for an answer. Whilst dashboards can be powerful, this model creates friction: insights are delayed, questions are constrained, and data fluency is limited to a small expert community.

GenBI fundamentally shifts this paradigm – and is a stepping stone to a future of Agentic Business Intelligence.

By combining generative AI, modern BI platforms, and curated semantic data layers, GenBI enables colleagues to interact with their data through natural language conversation, asking questions and receiving accurate, contextual insights in real time.

• No dashboards to hunt through.
• No complex queries to write.
• Grounded insights.

What makes GenBI an enterprise innovation

What sets GenBI apart from generic GenAI is not novelty, it's rigour.

Unlike public GenAI tools trained on open data, Generative BI is deeply embedded in an organisation's secure data ecosystem. It operates on governed datasets, consistent definitions, and robust semantic models to ensure outputs are explainable, auditable, and safe for enterprise decision making.

This makes GenBI:

• Trustworthy – aligned to a single version of the truth.
• Scalable – usable by thousands of colleagues, not just specialists.
• Responsible – privacy preserving and enterprise grade by design.

It turns GenBI from a curiosity into a core business capability.

Accelerating decisions where it matters most

GenBI is about amplifying human decision making.

Across complex domains such as risk, finance, customer insight and operations, GenBI enables faster insight generation, reduces ad hoc analysis bottlenecks, and helps colleagues move from question to action in minutes rather than days.

By generating not just visualisations, but narratives, explanations, and recommendations, GenBI supports better decisions at every level of the organisation.

In essence, it puts a data expert in every conversation.

A new era of data accessibility

One of the most powerful outcomes of GenBI is cultural.

By removing technical barriers, it democratises analytics. Leaders are empowered, as are frontline teams and non-technical colleagues to engage confidently with data. Asking "What's driving this trend?" or "How are we performing versus last quarter?" becomes as natural as asking a colleague.

This shift doesn't just improve productivity, it changes how organisations think.

Why this nomination matters

The nomination for Innovation of the Year – Enterprise recognises more than a new tool. It recognises a step change in how enterprises harness AI responsibly, at scale, for real business impact.

GenBI represents the convergence of:

• Generative AI maturity
• Trusted enterprise data foundations
• Human-centred design

Together, these redefine what Business Intelligence can and should be.

As enterprises navigate growing data complexity and rising expectations for insight driven decisions, GenBI stands out as a truly transformative innovation. We're proud to see it recognised.

About the author

Rachel George is a Senior Manager in the AI Centre of Excellence at Lloyds Banking Group, where she leads on one of the GenBI initiatives. She specialises in transforming how business areas use generative BI to move from static reporting to intelligent, decision‑led BI. Rachel is passionate about building modern analytics capabilities at scale, developing data talent, and embedding responsible, human‑centred AI into everyday business decision‑making.

The AI and Software Development Awards will take place on 14th May in London. Click here to view the shortlist and here to book your table.