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Title
Lloyds Banking Group cuts mortgage income verification from days to seconds with ML
…owing it to further develop ML and AI capability and deploy advanced AI models. This includes an algorithm which reduces the income verification step in its customers’ mortgage applications from days to seconds. Ranil Boteju, Group Chief Data and Analytics Officer at Lloyds Banking Group sa…
Description
Lloyds Banking Group, the UK's largest digital bank, migrated 15 modelling systems from on-premise infrastructure to Google Cloud's Vertex AI (now Agent Platform), giving over 300 data scientists and AI developers scalable machine learning capabilities. In six months the bank ran 80 new ML experiments and launched 18+ GenAI systems into production, including an algorithm that reduces the income verification step in mortgage applications from days to seconds. The migration also cut unplanned ML platform downtime to zero and saved 27 CO2 tonnes of operational emissions.
…mating processes to improve customer experiences In moving to the new platform, Lloyds Banking Group migrated 15 modelling systems, comprising hundreds of individual models from the Group’s on-premise infrastructure. As a result, the Group has saved 27 Co2 tonnes of operational emissions. The mi…
…le Cloud services allow its data scientists to supercharge their experimenting. In the space of just six months, the bank has developed 80 new ML experiments on the platform. For Charlotte Nickels, Head of Transaction Classification Data at Lloyds Bankin…
Company
Lloyds Banking Group
Lloyds Banking Group case study | Google Cloud Page Contents Lloyds Banking Group: Improving customer experience with machine learning Get started for free Google Cloud Results 27 Co2 tonnes of operational emission…
Industry
Financial Services
…ehold brands. The purpose at Lloyds Banking Group is ‘Helping Britain Prosper.’ Industry: Financial Services Location: UK Products: Gemini Enterprise Agent Platform , BigQuery , Managed Se…
Country
United Kingdom
…Lloyds Banking Group is ‘Helping Britain Prosper.’ Industry: Financial Services Location: UK Products: Gemini Enterprise Agent Platform , BigQuery , Managed Service for Apa…
Problem
Lloyds Banking Group's previous ML platform did not allow data scientists to experiment at scale, and the bank needed a scalable, reliable cloud platform to meet customers' evolving expectations for financial partnership and data-driven insights.
…Classification Data at Lloyds Banking Group, the difference is transformative. “Our previous platform didn’t allow us to experiment at scale,” she explains. “Now, with Gemini Enterprise Agent Platform, we are not only ru…
Solution
Lloyds Banking Group migrated 15 modelling systems, comprising hundreds of individual models, from on-premise infrastructure to Google Cloud's Vertex AI (now Gemini Enterprise Agent Platform), giving over 300 data scientists and AI developers a shared platform with consistent guardrails and the flexibility to use third-party, open-source, and Google's Gemini models.
…mating processes to improve customer experiences In moving to the new platform, Lloyds Banking Group migrated 15 modelling systems, comprising hundreds of individual models from the Group’s on-premise infrastructure. As a result, the Group has saved 27 Co2 tonnes of operational emissions. The mi…
Technology
Google Cloud Vertex AI, Gemini Enterprise Agent Platform, BigQuery, Cloud Storage, Dataflow, Google Kubernetes Engine, Pub/Sub, Managed Service for Apache Airflow
…g Group is ‘Helping Britain Prosper.’ Industry: Financial Services Location: UK Products: Gemini Enterprise Agent Platform , BigQuery , Managed Service for Apache Airflow , Cloud Storage , Dataflow , Google Kubernetes Engine , Pub/Sub menu Overview Solutions Products Pricing Resources Docs Support Contact us …
Deployment model
Cloud
…uct, Lloyds Banking Group Unlocking experimentation with a reliable ML platform Lloyds Banking Group migrated to Vertex AI (now Agent Platform) in 2024 and it now has over 300 data scientists and AI developers across the Group usin…
Use case type
Document processing
…owing it to further develop ML and AI capability and deploy advanced AI models. This includes an algorithm which reduces the income verification step in its customers’ mortgage applications from days to seconds. Ranil Boteju, Group Chief Data and Analytics Officer at Lloyds Banking Group sa…
Headline outcome
…owing it to further develop ML and AI capability and deploy advanced AI models. This includes an algorithm which reduces the income verification step in its customers’ mortgage applications from days to seconds. Ranil Boteju, Group Chief Data and Analytics Officer at Lloyds Banking Group sa…
Business value
The migration cut unplanned ML platform downtime to zero, enabled 80 new ML experiments in six months, launched 18+ GenAI systems into production including an algorithm that reduces mortgage income verification from days to seconds, and saved 27 CO2 tonnes of operational emissions.
…over 300 data scientists and AI developers across the Group using the platform. Unplanned platform downtime is now zero, while managed Google Cloud services allow its data scientists to supercharge t…
…s of individual models from the Group’s on-premise infrastructure. As a result, the Group has saved 27 Co2 tonnes of operational emissions. The migration has also unlocked new capabilities and tooling across the Group’s…
AI capabilities
Document Intelligence, Machine Learning
…these changing expectations, banks need to combine powerful data analytics with scalable machine learning (ML) capabilities to help customers make the most of their money. The wealth of customer data in…
Deployment options
cloud
…uct, Lloyds Banking Group Unlocking experimentation with a reliable ML platform Lloyds Banking Group migrated to Vertex AI (now Agent Platform) in 2024 and it now has over 300 data scientists and AI developers across the Group usin…
