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AI avatar at Banco Santander's customer service center in Querétaro.

The first deployment of a physically present conversational assistant in commercial banking in Mexico. Led and installed from Grupo Fórmula's AI unit.

Editorial note

Unlike the other cases in this hub, this project operates inside a regulated banking institution and has no public press coverage or published usage figures — the discretion typical of commercial banking. This page describes only what is already stated in public, verifiable materials (the author's professional CV and LinkedIn profile), without adding operational detail the institution has not made public.

Problem

In-branch service, under the regulatory bar of commercial banking.

A bank customer service center operates under a different bar than a museum or a newsroom: every interaction can touch sensitive financial information, and the tolerable margin for error is smaller. The question was not whether a conversational assistant could serve the public — it was whether it could do so with the physical presence and the level of control a regulated bank branch requires.

Decision

Physical presence, not another screen.

The project was conceived as a conversational assistant with physical presence inside the customer service center — not a chatbot embedded in an app, nor a generic self-service kiosk. That design decision is what distinguishes it from other conversational AI deployments in financial services.

Result

In production, in Querétaro.

The avatar operates inside Banco Santander's customer service center in Querétaro — the first deployment of this kind, with physical presence, in commercial banking in Mexico.

Lesson

What already worked in media and museums, held to a different bar.

The conversational-governance architecture — guardrails, domain boundaries, escalation to human staff — already proven at NAT and in the conversational avatars deployed at museums, had to be hardened to operate within the controls of a regulated financial institution. Governance discipline doesn't get reinvented per vertical; it gets recalibrated to what that vertical cannot afford to get wrong.

Related

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