PassCard cut its operating load by 40% with AI in customer service
PassCard deployed an AI agent for customer service, reaching 87% autonomy and cutting the team's operating load by 40%.
An accessible credit card for the whole family
PassCard is a Uruguayan company in the financial sector whose core product is an accessible, convenient credit card with a strong focus on benefits for the whole family and for different stages of life.
To scale its operation, optimize internal efficiency and offer a modern, accessible experience to its users, the company launched a strategic digital transformation process that culminated in migrating from its traditional chatbot to an AI assistant for customer service.
Scaling customer service with a chatbot that could no longer keep up
PassCard handles a high volume of monthly inquiries with increasingly diverse needs. While it already had a chatbot to resolve basic flows, the tool had limited reach against the growth of the operation and the complexity of the inquiries.
As a result, a significant share of interactions had to be escalated to the contact center—not because of a poor experience, but because the existing solution was not designed to scale or adapt to new scenarios.
The challenge was to evolve digital service toward a more flexible solution, able to understand users better and resolve more inquiries autonomously.
An AI Agent to evolve digital service
At Heynow we developed an AI agent able to:
- Answer frequent inquiries about account statements, due dates, limits, activations and day-to-day tasks.
- Guide users through step-by-step processes.
- Identify complex cases and escalate to the human team only when it adds real value.
We also added voice-to-text functionality, improving accessibility for users who prefer to interact by voice and delivering a more agile, natural experience.
The impact of AI automation
Deploying the AI assistant produced immediate, measurable improvements in the operation: a better experience for users and greater productivity for the teams.
Operational load
Reduction in the customer service team's operating load.
Monthly conversations
More than 60,000 conversations handled automatically every month.
Autonomous resolution
87% of inquiries resolved directly by the assistant, with only 13% escalated to human agents.
