Seamless
Integration
AI Agents, APIs, widgets, and embeddable apps for quick, white-label deployment and market optimization.
Participate in the Cross-Border Money Flows
In partnership with Mastercard, we’ve launched an innovative Embedded Remittance service poised to transform the financial landscape of Latin America. This versatile, cost-effective, consumer and client -centric solution enables financial and non-financial entities to place a “request remittance” button into their offering to tap into the remittance flows from the US, capitalizing on a $155 billion market. It also allows Latin America companies to acquire new users in the US Market by leveraging their existing customer base.
Key takeaway
A Deeper Look
“While remittance fees are in a race to zero cost to the consumer, the request remittances model creates value by increasing the account’s average daily balance-receiving sides while lowering the cost of remittances and embedding innovative delivery tools that include a ChatGPT-like conversational and payments infrastructure with a zero-friction experience through apps or simply via WhatsApp.”
Lionel Carrasco, Leap Financial’s Co-Founder
Mastercard & PCMI Future of Remittances in Latin America White Paper
RaaS
Key Features
Seamless
Integration
AI Agents, APIs, widgets, and embeddable apps for quick, white-label deployment and market optimization.
Diverse Funding and Payout
Cash, cards, wallets, or bank accounts available in the U.S. and Latin America.
Transactional AI-Powered
Real-time, human-like interactions via text, voice memos, and fluid voice dialogs.
Transitioning from Cash Funding
Users can make cash deposits at 85K+ U.S. retail locations with top-tier security.
Smart Compliance & Tracking
AI tracks funds, integrates data, and enhances loyalty programs for repeat usage.
360° KYC
+ AML
Prevents fraud with instant ID verification, multi-jurisdictional compliance, and advanced anti-fraud tools.
Regulatory Resilience
Ensures operational continuity and adaptability amid evolving cross-border payment regulations.
FAQs
Virtual Agents platform powered by OpenAI to deploy ChatGPT-like bots ready to integrate legacy systems and proprietary data into customer conversations. Allowing users to open an account and more, just by chatting on WhatsApp or Telegram.
How secure is Lola?
An AI assistant based on Lola Platform is secure because it is designed with privacy and security in mind. It does not store personal conversations or use them to improve its models. It also uses advanced encryption and security protocols to ensure that data is protected during transmission. Furthermore, it is programmed to avoid engaging in discussions about sensitive topics and to respect user privacy. It is also continuously updated and monitored to ensure it maintains the highest level of security and privacy protection.
What is the time to market?
Around 10 to 12 weeks depending on the projects scope, customization level, and the go-live adjustments.
What's lola's level of customization
Yes, you can customize your artificial intelligence assistant. Many AI platforms allow for customization and integration with your company's specific data and business processes. This can help the AI to better understand the context and specifics of your business, leading to more accurate and relevant responses. The speed of this customization can vary, but with the right resources and expertise, it can often be done relatively quickly. This can make your AI assistant a powerful tool for improving efficiency and productivity in your business.
What languages can artificial intelligence assistants speak?
AI assistants can typically speak and understand multiple languages. The most common languages include English, Spanish, French, German, Italian, Chinese, Japanese, and many others. However, the number and variety of languages can vary depending on the specific AI assistant. Some are designed to be multilingual, while others may only support a few languages.
What are the pricing options for Lola?
We are looking forward to building several success case studies, so depending on the partners potential exposure or transaction volume, several partnership and pricing models may be available to move forward.