Beyond Bots: How Banco Azteca Is Orchestrating the Future of Banking

NEW YORK, NY – August 26, 2026 – In the relentless push for digital transformation, enterprises have spent years deploying robotic process automation (RPA) to digitize repetitive tasks. But a strategic shift is underway, moving beyond isolated efficiencies toward a more holistic operational intelligence. Banco Azteca, one of Mexico's largest financial institutions, has emerged at the forefront of this evolution, transitioning from task-level automation to enterprise-wide business orchestration with a platform from UiPath.

This isn't just another story of a bank deploying bots. It’s a case study in building a new operating model where people, AI agents, and complex systems work in concert. By leveraging UiPath Maestro™, Banco Azteca now coordinates over 8,800 enterprise processes and more than 300 automations, fundamentally reshaping how it manages everything from customer service to fraud prevention. The move signals a maturation of automation strategy, where the goal is no longer just to make individual tasks faster, but to build a resilient, scalable, and governed framework for the entire business.

From Task Automation to Enterprise Orchestration

Since beginning its automation journey in 2020, Banco Azteca has cultivated one of Latin America's most mature automation programs, guided by a dedicated Center of Excellence staffed by over 20 developers, data scientists, and business analysts. Yet, as the program scaled, its leaders recognized the inherent limitations of a task-focused approach. Automating individual processes in silos creates efficiency pockets but can lead to coordination challenges and prevent true, end-to-end transformation.

“As our automation program matured, we realized the next opportunity wasn’t automating more tasks. Instead, our focus moved to coordinating entire business processes,” said Manuel Delgado Forey, Chief Operating Officer and Head of Customer Service at Banco Azteca. This pivot from automation to orchestration is the critical distinction. Orchestration provides an overarching layer that connects disparate workflows, enabling the seamless handoff of work between human employees, AI models, legacy systems, and even third-party partners.

This allows the bank to manage complex, long-running processes that span multiple departments and external entities. “Business orchestration allows us to connect people, AI, systems, and partners so work keeps moving while our teams stay focused on higher-value decisions,” Delgado Forey added. It’s a solution to the complexity that arises when hundreds of individual automations must function as part of a larger, coherent business objective.

A New Benchmark for Latin American Banking

Banco Azteca's achievement is not happening in a vacuum. It sets a new standard for operational excellence within a rapidly evolving Latin American financial landscape. The bank’s sheer scale—serving nearly 23 million clients through over 2,000 branches and a mobile app processing billions of transactions—demands an industrial-grade approach to efficiency. This move places it at the vanguard of a broader trend; an IDC study from earlier this year revealed that financial firms in Mexico are already leaders in automation, with over a quarter of their business processes automated.

A flagship example of this orchestrated model in action is in the post-sales operation for elektra.mx, the e-commerce site of Banco Azteca’s parent company. The process for handling customer cancellations, delivery issues, and other order-related requests is notoriously complex, often requiring back-and-forth communication with a network of third-party sellers. Previously, this was a manual, time-intensive burden on employees. Now, an orchestrated workflow manages the entire lifecycle. It processes incoming communications, frames outreach to sellers, sends automated follow-ups, monitors for responses, and intelligently routes exceptions to a human agent only when their judgment is truly required. The result is a dramatic acceleration in customer resolution, with average dispute resolution times plummeting from 97 hours to just 4.8 hours.

The Human-AI Partnership at Scale

The most compelling aspect of this transformation is its impact on the human workforce. The bank reports that its scaled automation program has created capacity equivalent to over 3,300 full-time employees. This figure isn't about headcount reduction; it's about unlocking human potential. By automating the coordination and execution of routine work, Banco Azteca is liberating its teams to focus on strategic analysis, complex problem-solving, and building customer relationships—activities that drive competitive advantage.

This human-in-the-loop model, where automation handles the process and people handle the exceptions, represents a sophisticated partnership between human and artificial intelligence. It refutes the narrative of AI as a simple replacement for labor and instead frames it as a powerful collaborator that augments employee capabilities. The bank’s investment in its internal Center of Excellence further underscores that this transformation is a human-led, strategic initiative designed to build a more agile and intelligent organization from the ground up.

Governance and the Next Frontier

For a financial institution operating in a highly regulated environment, this level of automation would be untenable without a robust governance framework. The adoption of a single, orchestrated operating model provides unprecedented visibility and control, ensuring that all automated processes are compliant, auditable, and secure. This governed foundation is critical as the bank sets its sights on even more complex challenges.

Looking ahead, Banco Azteca plans to extend this orchestrated model into its anti-money laundering (AML) initiatives and intelligent ATM monitoring. Applying orchestration to AML can significantly enhance the speed and accuracy of detecting suspicious activities, providing regulators like Mexico's CNBV with clear, auditable trails. Likewise, optimizing cash distribution across its vast ATM network based on real-time demand is a logistical puzzle perfectly suited for an orchestrated, AI-driven solution.

“Moving from individual automations completing individual tasks to a fully orchestrated operating model unlocks speed, capacity, and production at scale,” noted Ben Fiechtner, President, Americas & Strategic International Markets at UiPath. “With people, AI agents, and systems work together across an entire enterprise, you have measurable results and a governed foundation the bank can keep building on.” Banco Azteca's journey demonstrates that the future of enterprise operations lies not in automating more tasks, but in intelligently orchestrating all of them.