Lloyds Banking Group

Jun 25th, 2021

Lloyds Banking Group (LBG) is the leading UK-based financial services group with over 325 years of history and provide a wide range of banking and financial services, focused primarily on retail and commercial customers. I lead the technical discussion and ideation around how the implementation of AI and Data Science technologies would improve their existing products and services.

Background & Objectives


Lloyds had seen the benefit of using AI early on and were keen to identify key organisational impact areas.

They had a large data lake of data of much value to the company. As the data was not utilised, they were keen to investigate and understand what it can be used for.

As an extension to this, investigation piece, they were keen on AI use case evaluation and pre-qualification


Lloyds were keen on understanding company-wide AI opportunities across 3 core areas:

  • Monetary
  • Operational
  • User Experience

These opportunities would then resolve with the establishing of AI foundations across:

  • Data
  • Machine Learning
  • Infrastructure



Architected potential ideation solutions in line with business outcomes and objectives

AI Direction

As an SME, responsible for the strategic direction of the AI tools, solutions and governance to dictate the best approach to achieving business outcomes

Security & Privacy Governance

Discussion and ideation of new architecture and security governance framework in line with qualified use cases

Stakeholder Management

Work with stakeholders across the management team to ideate, propose, discuss and evaluate prospective solutions


Use Case Pre-Qualification

We identified key impact areas across the business using data-driven decision making. Once these were established, prospective AI-driven solutions with tangible value-add were derived.

Added to those were risk assessments and an ROI model to ensure a comprehensive understanding of the identified impact areas.

Lastly we proposed a solution delivery plan alongside a furtherĀ  evaluation and fine-tuning process to test and extend the functionality of the implemented soution.

Tools & Technologies

Tools and Tech used in pre-qualification of use cases

  • AI
  • Data
  • AWS
  • Azure
  • GCP
  • PSD2
  • Open Banking
  • Microsoft Office Suite