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In-house Financial Services Spain Company newsroom

BBVA

Customer Service Automation

BBVA wanted to overhaul its mobile banking experience in Spain with faster performance, deeper personalization, easier day-to-day money management, and more proactive support for payments, savings and investing.

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overdraft coverage of up to €300 to pay for bills
six percent bonus for customers who regularly set aside part of their income each month
up to six times faster than the previous version
up to €20 per month for three months

Reported impact

Business outcome

BBVA reports a more personalized and faster mobile banking experience, AI-guided savings and expense control, direct access to cards and Bizum, proactive bill and overdraft support, and a mobile codebase that can scale to other countries where the bank operates.

  • Customer Experience
  • Scalability

Solution

BBVA rebuilt its Spain mobile banking app on a single native code base that it says is scalable and exportable across the countries where the bank operates, then layered AI-driven experiences into that front end. The BBVA app is the primary delivery surface for wallet, card, Bizum and alert workflows, while Blue provides natural-language question answering inside the app. A new financial coach consumes customer income, expense, savings and loan data, performs an initial assessment, identifies improvement opportunities, and turns spending patterns into savings and cost-control recommendations, bill alerts and goal-setting prompts. Apple Intelligence is additionally integrated so eligible users can create personalized digital card designs for supported Visa cards on supported iPhones. The source does not disclose underlying models, storage services or back-end infrastructure, but it clearly describes an operational pipeline from banking data and customer habits to personalized in-app guidance and actions.

Data flow

Customer banking data including income, expenses, savings, loans, balances, bills and spending habits feeds the app’s AI features. The financial coach assesses that data, identifies improvement opportunities and returns savings goals, category-level cost controls and payment suggestions in the BBVA app, while Blue answers natural-language questions. The same app surface connects users to cards, the wallet and Bizum for immediate action.

Solution architecture

5 components · 1 layer
  1. Serving
    • BBVA app The rebuilt native mobile app is the user-facing surface that delivers AI-driven personalization, payments, savings and financial guidance features.
    • Blue The updated virtual assistant answers customer questions in natural language inside the app.
    • financial coach The in-app coach analyzes each customer's financial situation and recommends savings goals, spending controls and other actions.
    • Apple Intelligence It enables eligible users to create personalized digital card designs within the BBVA app.
    • Bizum The payment service is integrated for fast transfers to frequent contacts directly from the app.

Architecture clues

  • A discreet mode automatically hides account balances and transactions.
  • AI features are being rolled out gradually in the weeks after launch.
  • Apple Intelligence card-design functionality is planned for Visa cards on iPhone 15 Pro and iPhone 16 devices.
  • The app uses 'a unique native code' that BBVA says is scalable and exportable to all countries where it operates.
  • Users authenticate with device biometrics before accessing cards and payment actions.

Evidence from the source

"Artificial intelligence takes the spotlight in BBVA’s app, as it allows each customer to organize the app in a different way, based on their habits."
"BBVA is launching a new version of its app in Spain, with a unique native code that is scalable and exportable to all countries where the bank operates."
"Blue, which is now able to answer customer questions with natural language"
"The coach makes an initial assessment of the customer’s income, expenses, savings and loans and identifies opportunities for improvement."
"This companion analyzes the customer’s financial situation and suggests specific steps they can take to help improve their personal finances."
"the app’s rapid response time, up to six times faster than the previous version"
Transparency Evidence & methodology 75/100 reference value · 95% 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 value75/100
  • Problem clarity20/20
    Measures whether the customer's operational problem is specific enough to compare.
  • Implementation depth25/25
    Rewards named components, data flow, integrations, and architecture detail.
  • Outcome specificity20/20
    Measures whether the reported benefit is concrete rather than a generic claim.
  • Quantified impact0/25
    0 metrics describe measurable impact.
  • Deployment scale10/10
    Rewards evidence of a live or scaled deployment and meaningful integration scope.
Evidence confidence95%
  • 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 evidence20/20
    6 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. BBVA

    BBVA customer story

    First-party
    https://www.bbva.com/en/innovation/bbva-reinvents-itself-with-a-new-app-in-spain-more-ai-personalization-and-savings-incentives/
    Source type
    Customer-published story
    Published
    May 20, 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. Built In

    BBVA Careers, Perks + Culture | Built In

    Independent secondary
    https://builtin.com/company/bbva

    The Organization JSON-LD lists streetAddress 'Plaza de San Nicolas 4', addressLocality 'Bilbao', addressCountry 'ES', and numberOfEmployees value 87534.

    Source type
    Structured company profile
    Supports
    • Company size

Date evidence

Not separately sourced Industry, Region. Treat these normalized attributes as lower-confidence until a dedicated source is added.

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