Leverage our deep expertise to maximize the value of Rasa
Leverage our deep expertise
to maximize the value of Rasa
Our customer success and support programs empower the world's leading brands to push the frontiers of conversational AI and achieve breakthrough business impact.
Proactive premium support
Supporting your team at every stage, from project kickoff through ongoing optimization, with enterprise-grade, SLA-backed support and a comprehensive customer success program.
Meet our customer success team
Our team of Rasa experts works closely with you to ensure successful deployment, resolve challenges, and drive continuous optimization of your AI agents.
Customer Success Manager (CSM)
Your Rasa CSM champions your business goals and serves as your primary liaison. They advocate for your needs within Rasa and develop long-term strategic plans aligned with your vision.
- Drive onboarding, development, and adoption plans
- Manage communication and escalations
- Facilitate engagement with Rasa leadership, including Product Design, Product Management, AI Research, Engineering, and our founders
Customer Success Engineer (CSE)
Your Rasa CSE offers deep technical expertise and a proactive approach to helping solve architectural, design, and development challenges.
- Conduct architecture assessments and provide guidance
- Perform code and training data reviews
- Offer early access previews of upcoming features to support sprint planning
Forward Deployed Engineer (FDE)
Embedded in your environment, the FDE plays a strategic, hands-on role ensuring successful adoption, integration, and optimization of your Rasa agents. A trusted technical advisor, the FDE collaborates closely with your teams to deliver customized solutions and maximize the platform’s value.
See what our customers are saying
See what our
customers are saying
Enterprise teams use Rasa to build and deploy high-trust AI agents that perform in production.
We've built a scalable, compliant platform with Rasa that supports real patient needs and drives measurable outcomes. CALM gives us a framework to keep that momentum going, with the flexibility to grow responsibly as expectations around AI continue to evolve.
With Rasa, we launched quickly and gave citizens a simpler way to access government services. The system allows us to expand at our own pace while controlling how services are delivered. Studio and CALM allow us to build new use cases while maintaining stability as the platform grows.
We’re not experimenting with voice. We’re deploying it. That’s the difference.
Switching to Rasa accelerated development. We now process thousands of conversations each month with 96% accuracy, which resulted in better user engagement and more searches per conversation.
We developed a real partnership with Rasa based on developing skills rapidly, correcting bugs quickly, and sharing a wish list with the dev team.
Albert Heijn adopted Rasa and began migrating to CALM through a coexistence strategy — starting with a single flow and gradually expanding coverage, achieving a 22% improvement in prevented contact rate and a 37% increase in quality score.
Grace acts as a multi-purpose patient-facing assistant — booking appointments, routing based on symptoms, and helping users navigate their care journey entirely through our app.
With Rasa, we consolidated five bots into a single assistant experience. Fallback rates dropped from 18% to 3.5%, and we’re now expanding to voice.
N26 transitioned from concept to production in just four weeks, deploying the AI assistant within their secure cloud environment to maintain full data control.
Rasa’s platform enabled us to customize and scale our AI assistant’s capabilities, ensuring it evolved with changing member needs and organizational goals.
With Rasa, we at ERGO are completely rethinking how we build customer support experiences. It’s about developing faster and cheaper, and at scale. Rasa helps us to realize these goals.
Since the chatbot based on Rasa CALM can process around 50% of service desk inquiries independently, we reduced the need for human agents by approximately 30%. Thanks to the excellent backend integration capabilities of the Rasa solution, we quickly implemented the chatbot’s self-service features.
Our goal was to align cutting-edge AI technology with customer needs to provide seamless and innovative experiences. Partnering with Rasa allowed us to rethink how conversational AI could transform support.
We needed a solution that could scale with our ambitions. Rasa solves some hard problems related to conversational AI that enable us to move faster.