Skyro deployed an AI chatbot that automated 67% of its customer support interactions within eight months. The system now handles over 200,000 application conversations each month and reduced per-customer support costs by 66%, as the company prepares for a projected 250% jump in its corporate user base this year.
The virtual assistant operates in English and local dialects, letting customers register requests, record payment commitments, cancel insurance services, and close credit contracts directly through the chat interface. The company built the tool to keep pace with demand without expanding its support headcount at the same rate.
What the chatbot handles
Customers use the automated system for a range of financial account tasks. It processes application conversations, captures payment commitments, and manages service cancellations - work that previously sat with frontline agents during business hours. The chatbot also handles insurance policy cancellations and credit contract closures, two transaction types that often require multiple verification steps.
The platform allows users to transfer their sessions from the AI to a human agent for sensitive financial cases. Chat history carries over intact, so customers never repeat information they already provided to the bot.
The numbers behind the deployment
A dedicated technical team built the platform and hit the 67% automation rate within eight months of going live. The shift to always-on support eliminated the morning crush: request backlogs dropped from 800 to 150 chats at the start of each day. Support now runs on a continuous schedule rather than standard business hours.
"The chatbot experience will always reflect the quality of customer care behind it," said Jorge Brisuela, Head of Customer Care at Skyro. He added that every interaction must feel friendly, clear, and seamless for the consumer - a standard his team enforces regardless of whether a bot or a person is on the other end of the conversation.
The cost reduction came from handling high-volume, repetitive inquiries without agent involvement. Each automated chat costs a fraction of a live interaction, and the 66% drop in per-customer support costs reflects that shift across more than 200,000 monthly conversations.
Why this matters for customer support teams
Skyro's results offer a concrete benchmark for support leaders evaluating AI automation. The 67% automation rate did not come at the expense of customer experience - the handoff to human agents preserves context, and the company's own executive insists the bot must meet the same tone standards as live staff. The 800-to-150 backlog reduction also shows what happens when automation absorbs repetitive volume: agents spend less time clearing queues and more time on cases that actually require human judgment.
For teams planning their own rollout, the eight-month timeline from deployment to 67% automation provides a reference point. Skyro did not replace its support team; it redirected it. The humans now handle the sensitive cases, while the chatbot fields the routine ones around the clock.
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