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August 7, 2026
Jeitto Cuts Contact Volume 96% with Birdie

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Brazilian fintech providing credit and consumption solutions for classes C and D, connecting 500,000+ monthly customer signals to guide Product, Operations, and Support decisions.
About the Customer
Jeitto is a Brazilian fintech specializing in credit and consumption solutions for classes C and D. The company builds digital financial products that expand access to credit and make everyday financial life simpler for millions of Brazilians.
For Jeitto, customer experience isn't a side function of the business, it's core to trust. Its customers depend on the platform for essential financial needs, so any friction in the experience carries a real risk of eroding that trust. As the company grew quickly, keeping quality consistent stopped being a nice-to-have and became a structural requirement.
The Situation & Challenges
Growing fast without losing quality is one of the hardest problems in digital finance, and for Jeitto it was especially high-stakes. When customers rely on a platform for essential financial needs, any friction in that experience is a direct risk to trust, not just a support inconvenience.
Historically, customer feedback at Jeitto worked the way it does at most companies: it lived inside Customer Experience, used mainly to measure satisfaction or produce periodic reports. It rarely reached the people building the product or running day-to-day operations, and it almost never shaped strategy.
That meant the company was structurally reactive. Support responded to problems as they arrived, but there was no systematic way to trace those problems back to root causes, fix them at the source, or confirm that a fix actually worked. As Jeitto scaled, the real question became how to give Product, Operations, and executive leadership the same continuous view of the customer experience, and make that context part of how decisions got made every week, not just during quarterly reviews.
How Birdie Helped
Birdie built Jeitto a continuous customer intelligence layer that consolidates more than 500,000 monthly signals from support interactions, chatbot conversations, NPS, app store reviews, Reclame Aqui (Brazil's public consumer complaint website where companies rush to solve your problems to protect their reputation), and social media into one shared view of the customer experience.
Instead of concentrating that intelligence in dashboards and reports that get checked occasionally, Birdie turns it into a continuous flow: connecting signals across every source, using AI to identify patterns, and distributing that context directly into the workflows of the teams responsible for acting on it, Product, Operations, and Support alike.
That shift changed what "listening to customers" meant on a day-to-day basis. Patterns identified in the customer journey now feed directly into product meetings, operational decisions, and strategic discussions, instead of surfacing only in a periodic report. Instead of just responding to the problems that reach support, Jeitto's teams can identify recurring causes, prioritize fixes at the source, and track whether the changes they make actually improve the experience.
From Insights to Action
Turning customer context into infrastructure took more than a new tool, it took a change in ownership. Jeitto's CEO became the program's main sponsor, and CCO Mirelle Hampel took on responsibility for Product as well, so the same view of the customer experience would sit at the center of both functions.
"We realized that listening to customers couldn't be the responsibility of the CX area alone. It needed to be part of how the whole company makes decisions. To make sure that was real, our CEO became the program's main sponsor, and I took on responsibility for Product" Mirelle Hampel, CCO at Jeitto.
With that structure in place, Product, Support, and leadership began operating from the same view of the customer experience, shrinking the time between spotting a problem, deciding on a fix, and measuring whether it worked. The new structure now drives weekly decisions across different areas of the business.
Results
In one year of working with Birdie, Jeitto turned customer context into a driver of weekly decisions across Product, Operations, and Support, and saw:
- Up to 96% reduction in contact volume in specific journeys after root-cause fixes.
- 68% reduction in demand for human support, even as the customer base grew.
- 4.6-star rating in app stores, among the highest in the segment.
- +92.5 service NPS.
- Customer context embedded into executive leadership's routines, supporting roadmap prioritization, operational decisions, and continuous product evolution.
After putting customer context at the center of its decisions, Jeitto cut contact volume by up to 96% in specific journeys, reduced demand for human support by 68% even as its customer base kept growing, and reached a service NPS of +92.5.
Beyond the Numbers
More than making support more efficient, the shift reduced the need for customers to reach out in the first place, by eliminating the recurring problems that generated those contacts.
"When customer context reaches the people responsible for deciding and executing continuously, a company stops just reacting to problems and starts improving the experience systematically. That's the shift that turns Voice of Customer into infrastructure" Pat Osorio, Co-founder and CCO at Birdie.
For Jeitto, that means the customer experience is no longer a periodic check-in. It's part of the operational infrastructure the company runs on every week.
See it in action: Explore how Customer Intelligence helps financial services and fintech teams turn scattered customer signals into shared context. Book a demo to see it on your own data.
Brazilian fintech providing credit and consumption solutions for classes C and D, connecting 500,000+ monthly customer signals to guide Product, Operations, and Support decisions.
What is Birdie AI?
Birdie AI is a customer context platform that combines customer intelligence and frontline intelligence in one platform. It unifies customer signals from surveys, tickets, app reviews, calls, and chat, connects that feedback directly to business outcomes like churn, contact rates, and retention, then enables informed prioritization to drive action and prove impact.
Unlike most vendors who stop at analysis or enable reporting actions (like alerts and digests), Birdie pinpoints root causes and enables more impactful actions such as roadmap prioritization, product fixes, and agent coaching.
How is Birdie different from other customer context platforms?
The key difference: Birdie is built for teams who see cx as decision infrastructure and need to act on customer experience , not just analyze it.
How does Birdie handle data security and compliance?
Birdie is built for regulated industries where customer context must be protected. We maintain:
How long does implementation take?
Typical timeline from contract signature to live customer intelligence:
- Weeks 1-2: Data planning, connections setup, and initial ingestion
- Weeks 2-3: AI calibration to your taxonomy and terminology
- Weeks 3-4: Dashboard configuration and team onboarding
Most customers see their first actionable insights within 14 days of setup. There's no need to spend months training custom AI models. Birdie AI's intelligence layer is ready from day one, with calibration options to refine accuracy over time.
These timelines reflect our standard implementation approach. Timeline varies based on the number of data sources being integrated and your team's availability for calibration sessions. See our implementation guide [link] for detailed workflow steps.
See Birdie in action.
See how Birdie turns customer signals into retention, expansion, and adoption decisions. 30 minutes. Live demo with outcomes.
