Microsoft Financial Services United Kingdom

Lloyds Banking Group

Customer Service Automation

Lloyds Banking Group aimed to improve communication with non-English speaking customers.

Embracing values of inclusion and diversity, Lloyds Banking Group aims to meet the evolving needs of its clients by consistently delivering outstanding service.
Lloyds Banking Group, one of the UK's leading financial institutions, offers a wide range of services to 30 million customers.
This innovation enhanced service delivery, receiving positive feedback from employees and customers alike.
With roots dating back over 250 years, the bank has a long-standing commitment to supporting Britain's prosperity.

Reported impact

Business outcome

It developed the Branch Translation App using Microsoft Power Apps and Azure AI Services.

  • Customer Experience
  • Productivity Improvement
  • Scalability

Solution

Lloyds Banking Group built a Microsoft-based workflow around Power Apps and Azure AI Services because Lloyds Banking Group aimed to improve communication with non-English speaking customers. Source information is captured from frontline systems, documents, transactions, images, or conversations and then processed with cloud services that classify, summarize, model, or route the data for downstream use. The resulting records are stored in shared business or analytical systems and surfaced through apps, dashboards, or case workflows so staff can move from manual review to faster action while still keeping a governed human-in-the-loop process. This turns scattered data into an operational workflow rather than a static report, making the same platform useful for both daily execution and future scaling, and It developed the Branch Translation App using Microsoft Power Apps and Azure AI Services.

Data flow

Source data is captured from frontline systems or content, processed by the Microsoft-based workflow, stored in a shared business or analytical layer, and then surfaced back to staff through apps, dashboards, or case-management experiences.

Solution architecture

2 components · 2 layers
  1. Compute
    • Azure AI Services Processes unstructured content with managed AI capabilities such as speech, vision, or language analysis.
  2. Serving
    • Power Apps Provides tailored low-code apps and workflow front ends for employees, citizens, or service teams.

Architecture clues

  • Lloyds Banking Group, one of the UK's leading financial institutions, offers a wide range of services to 30 million customers.
  • Primary implementation components: Power Apps, Azure AI Services
  • This innovation enhanced service delivery, receiving positive feedback from employees and customers alike.

Evidence from the source

It developed the Branch Translation App using Microsoft Power Apps and Azure AI Services.
Lloyds Banking Group aimed to improve communication with non-English speaking customers.
Transparency Evidence & methodology 49/100 reference value · 85% confidence · 2 sources

Review how this reference was scored and trace each normalized claim back to its documented source.

01

Scoring methodology

How scores are calculated

Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.

Customer reference value49/100
  • Problem clarity12/20
    Measures whether the customer's operational problem is specific enough to compare.
  • Implementation depth20/25
    Rewards named components, data flow, integrations, and architecture detail.
  • Outcome specificity12/20
    Measures whether the reported benefit is concrete rather than a generic claim.
  • Quantified impact0/25
    0 metrics describe measurable impact.
  • Deployment scale5/10
    Rewards evidence of a live or scaled deployment and meaningful integration scope.
Evidence confidence85%
  • Source authority25/25
    The deployment is described by the adopting organization or a government source.
  • Claim traceability23/25
    11 of 12 key fields link to a named source.
  • Direct evidence10/20
    2 direct source quotes retained.
  • Date provenance10/10
    The publication date comes from the source page or publisher.
  • Source transparency9/10
    2 source references document publisher, URL, authority, retrieval, and supported fields.
  • Implementation specificity8/10
    Rewards source-backed components, data flow, quantified impact, and a specific outcome.
02

Traceability

Sources & provenance

Field coverage shows which facts each source supports. Dates are shown only when documented by the source.

  1. Microsoft

    Lloyds Banking Group customer story

    First-party
    https://www.microsoft.com/en/customers/story/21551-lloyds-banking-group-microsoft-power-platform
    Source type
    Vendor-published customer story
    Published
    Jan 31, 2025
    Supports
    • Customer
    • Business problem
    • Solution
    • Products
    • Solution components
    • Data flow
    • Integrations
    • technical area
    • use case category
    • Business outcome
    • outcome category
    • Metrics
    • Architecture
    • evidence quotes
    • Publication date
  2. Companies House

    LLOYDS BANKING GROUP PLC overview

    Government
    https://find-and-update.company-information.service.gov.uk/company/SC095000

    Registered office address: The Mound, Edinburgh, EH1 1YZ.

    Source type
    government registry
    Supports
    • Region

Date evidence

  • Published on source page Jan 31, 2025 · Microsoft · First-party
    Open date source
Not separately sourced Industry, Company size. Treat these normalized attributes as lower-confidence until a dedicated source is added.