−50%
Time to Resolution
We cut the resolution time of each interaction in half.
Vertical · Fintech
AI agents for fintechs and banks in LATAM
Resolves 88% of inquiries without human intervention.
Sector challenges
Challenges that limit growth in fintech
Scaling financial operations demands speed, efficiency and continuous service, without increasing operational load.
- 01
Overload in customer service
Demand grows faster than the operational capacity of the teams.
- 02
Low recovery and inefficient debt management
The lack of automation reduces efficiency and financial recovery.
- 03
Interactions that don't generate sales
Responding late impacts conversion, retention and customer experience.
- 04
Manual processes that hold back scalability
Fragmented operations make it hard to scale with efficiency and control.
Results that back us up
Why do fintechs in LATAM choose Heynow?
We deploy AI agents that reduce operational costs, speed up service and improve the customer experience in real financial operations.
96%
Customer satisfaction
Agile experiences and precise responses that improve how the service is perceived.
−40%
Operational load
We free teams from repetitive tasks to focus them on high-value work.
Use cases
AI agents in action: impact on key processes
We turn the industry's challenges into real impact with autonomous AI agents.
Customer service
Automation of frequent inquiries and tasks
- Account statement
- Transactions
- Opening and closing accounts
- Updating data
- Operational requests
Collections & recovery
Agents that run the full process
- Report balance and status
- Negotiate terms
- Schedule payment commitments
- Process online payments
- Update the core system
- Carry out automatic follow-up
Sales and Cross Sell
Agents that support the commercial process end to end
- Present personalized offers
- Validate requirements
- Manage digital acceptance
- Record the transaction in the systems
- Carry out after-sales follow-up
Back office
Automatic processing and execution of administrative tasks
- Data extraction and validation
- System registration
- Cancellations and blocks
- Information updates
Customer service
87%autonomy
Collections & recovery
+22%early recovery
Sales and Cross Sell
+25%conversion
Back office
−70%process time
How does it work?
Three steps to bring AI into production
01
Process identification
We map the critical flows of your operation and define where an agent generates the greatest impact.
02
Agent design and systems integration
We build the agent with the necessary rules, data and permissions, integrated with your core systems.
03
Testing and go-live
We validate results in controlled environments and deploy to production with continuous monitoring.
Integrations
We connect with the core systems of your operation
Native integrations with CRMs, banking cores, payment platforms and messaging channels.
Success stories
Real results in production
PassCardPassCard cut its operating load by 40% with AI in customer service
87% autonomy and over 60,000 automated conversations per month.
See more
ANDAANDA automates its WhatsApp customer service with AI and reaches 99% autonomy
Over 150,000 monthly conversations resolved in an always-available digital channel.
See moreScale your operation without losing control
Let's talk about how to deploy AI agents in your key processes.
Other industries
Explore other industries we operate in.
InsuranceQuoting, issuance, claims and renewals with traceability and controlTelcosHigh-volume operations in service, technical complaints and commercial managementUtilitiesManagement of technical complaints, meter readings and billing in large-scale operationsHealthCoordination of care, authorizations and patient management across multiple channelsRetailSales, after-sales and conversational support integrated with logistics and catalogHospitalityManagement of bookings, check-in and guest service across multiple channels