BBVA Introduces a Common Framework to Scale AI Agents Across the Bank
The Frame pairs reusable technology with rules on data access and autonomous actions. BBVA’s roadmap also includes a gradual rollout of its Blue financial assistant in 2027.
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The Frame pairs reusable technology with rules on data access and autonomous actions. BBVA’s roadmap also includes a gradual rollout of its Blue financial assistant in 2027.
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The Frame makes agent deployment a governed operating capability rather than a series of bespoke projects: agents will have defined data permissions, autonomy boundaries, and continuous performance, cost, and impact measurement. BBVA says the framework will remain compatible with different models and platforms. Existing deployments provide a starting point, while a gradual rollout of its Blue personal financial assistant and further AI tools is planned for 2027.
BBVA reports that assistants filter more than half of relationship-manager conversations in Spain, while voice agents resolve close to 90% of interactions in production pilots in Peru and Mexico.
The bank says 75% of employees use AI regularly, saving 2.4 hours weekly; developer productivity is up about 28%, and complaint registration takes nearly 80% less time.
Complaint registration is the measured task, not end-to-end resolution; BBVA has not announced broad availability of Blue before its planned 2027 rollout.
BBVA is moving from individual AI projects toward a common framework for deploying agents across the bank. Presented at a meeting with analysts and investors, The Frame is intended to speed development while defining what each agent can access and do. The announcement pairs that shared foundation with plans to widen AI deployment in 2027.
Over the past year, BBVA concentrated on specific uses of AI in customer service, internal processes and employees’ work. Antonio Bravo, its global head of AI Transformation, said those projects revealed recurring needs: reusable components, shared functions and common management requirements. The Frame is the bank’s response to that overlap.
BBVA is building a shared, secure technology environment so teams can develop and deploy agents without starting from scratch each time. Common working processes, roles and responsibilities will sit alongside that foundation. The bank also wants to preserve technological independence, allowing it to work with different AI models, tools and platforms rather than tying the framework to one provider.
These controls are intended to operate under a common security, governance and compliance framework. BBVA’s stated goal is to build more agents faster while keeping them repeatable, manageable and subject to control.
BBVA says assistants already filter more than half of the conversations its relationship managers receive through the app in Spain. Voice agents successfully resolve close to 90% of interactions in production pilots in Peru and Mexico. Those are results from existing applications; the framework is intended to make creating and managing further agents a shared process.
At the same presentation, BBVA showed progress on Blue, its planned personal financial assistant. The bank describes it as available around the clock, able to handle multiple forms of interaction and equipped with personalized customer information. BBVA plans a gradual rollout to individuals and businesses in 2027, rather than announcing broad availability now.
The 2027 plans also include more AI tools for retail relationship managers and new capabilities across commercial banking, investment banking and risk. BBVA is extending agents into complaints and financial-crime prevention, too.
In software engineering, global head Carlos Casas set a separate ambition within the strategy: shorten release cycles from months to weeks. Agents would help coordinate and execute development, while people retain control over context, decisions and oversight. That faster release schedule remains an ambition, distinct from the productivity gains BBVA already reports.
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