PassCard reduced customer service operational workload by 40% with AI
87% autonomy and more than 60,000 automated conversations per month.
A credit card accessible to the whole family
PassCard is a Uruguayan company in the financial sector whose main product is an accessible, convenient credit card, with a strong focus on benefits for the whole family and different life stages.
To scale its operation, optimize internal efficiency, and deliver a modern, accessible experience to its users, the company launched a strategic digital transformation process that culminated in the migration from its traditional chatbot to an AI assistant for customer service.
Scaling customer service beyond what the existing chatbot could handle
PassCard handles a high volume of monthly inquiries with increasingly diverse needs. Although it already had a chatbot in place to resolve basic flows, the tool had limited scope in the face of operational growth and the growing complexity of inquiries.
As a result, a significant share of interactions had to be transferred 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 into a more flexible solution, capable of better understanding users and resolving more inquiries autonomously.
An AI agent to advance digital service
At Heynow, we developed an AI agent capable of:
- Responding to frequently asked questions about statements, due dates, limits, authorizations, and day-to-day requests.
- Guiding users through structured processes.
- Identifying complex cases and escalating them to the human team only when it adds real value.
In addition, we incorporated voice-to-text functionality, improving accessibility for users who prefer to interact by voice and delivering a faster, more 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.
