CASS PARTNERED WITH MAYBEWORKS TO ENHANCE THEIR VIRTUAL CARE PLATFORM — DELIVERING CUSTOMIZABLE CHAT INTERFACES, REAL-TIME CONVERSATION FLOW, AND A SMOOTHER USER EXPERIENCE FOR PATIENTS AND PROVIDERS ALIKE.
Cass is a behavioral health engagement platform built to help care providers reach and retain more patients. By combining conversational AI with live, text-based coaching, it offers a seamless way to guide users through onboarding, capture leads, and schedule sessions. With 24/7 support powered by virtual assistants, Cass enables organizations to deliver scalable, personalized care while lowering administrative overhead.
Location: United States
Cass needed a flexible, real-time chat system that could guide users from initial contact to live support — all without breaking the flow. The platform had to support seamless transitions between conversational AI and human agents, while maintaining responsive UX and full session continuity.
Build a reliable, real-time chat interface.
Create UI components for onboarding, lead capture, and scheduling.
Ensure smooth handoffs between bot and human support.
Customize chatbot behavior and appearance.
Improve error handling and maintain consistent session state.
How MaybeWorks organised the work:
After receiving the client's request, we scheduled a call to discuss the project's goals, and specific requirements. This allowed us to clarify key details, understand challenges, and align on expectations for the collaboration.
Using the collected information, we selected the best fit from our in-house team and managed the onboarding process ourselves.
The developer joined the project a week after the client contacted us, which allowed us to start work quickly and maintain the momentum of incremental growth.
Our outstaff manager monitored the developer's performance to ensure consistent results.
If necessary, and with the client's approval, our technical leaders were involved to solve complex problems.
We provided direct communication with the developer via Slack, while task tracking and scheduling were carried out in Jira.
Request and briefing
After receiving the client's request, we scheduled a call to discuss the project's goals, and specific requirements. This allowed us to clarify key details, understand challenges, and align on expectations for the collaboration.
Developer selection and onboarding
Using the collected information, we selected the best fit from our in-house team and managed the onboarding process ourselves.
Connecting with the client's team
The developer joined the project a week after the client contacted us, which allowed us to start work quickly and maintain the momentum of incremental growth.
Supervision of productivity
Our outstaff manager monitored the developer's performance to ensure consistent results.
Technical assistance
If necessary, and with the client's approval, our technical leaders were involved to solve complex problems.
Coordination tools
We provided direct communication with the developer via Slack, while task tracking and scheduling were carried out in Jira.
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frontend:
React, TypeScript
apiAndData:
GraphQL
other:
RealtimeClient
1 Frontend Developer
1 Frontend Developer
frontend:
React, TypeScript
apiAndData:
GraphQL
other:
RealtimeClient
Ready to grow your team just as fast?
We'll select the perfect developer from our in-house team to sustain and boost the incremental growth of your project. Shall we discuss your tasks and requirements?
MaybeWorks worked with the Cass team to enhance their behavioral health platform, focusing on real-time responsiveness, seamless user experience, and flexible chatbot integration. These updates made the system more intuitive and scalable for care providers and users alike.
Real-time chat functionality.
We implemented RealtimeClient to enable instant messaging, ensuring fast and fluid conversational flows across devices.
Smooth onboarding experience.
Custom components guide users through lead capture and scheduling, improving conversion and reducing drop-off rates.
Bot-to-human handoff.
Optimized session handling allows for seamless transitions from chatbot to live agent without losing context.
Customizable interface.
Built modular UI elements to tailor chatbot appearance and behavior to match different organizations' needs.
Improved reliability.
Robust error handling and fallback logic ensure uninterrupted service even during edge cases or network hiccups.
Working with Cass, we helped bring real-time conversations to life on their behavioral health platform. Our developer built clear, responsive flows for onboarding, lead capture, and live messaging — making it easier for patients to connect anytime. With instant message delivery, smart session handling, and a flexible interface, the system now feels more human and reliable — giving care providers a tool that truly supports users from first contact to follow-up.
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