Rasa CALM | High-Trust Conversational AI Without Hallucinations
High-trust AI isn't magic. It's engineering.
High-trust AI isn't magic.
It's engineering.
CALM (Conversational AI with Language Models) takes a different path than typical AI platforms. While most agents rely on LLMs for everything—or hide decision-making in a black box—CALM separates language from logic.
Top enterprises trust Rasa
Conversational AI Assistants with CALM: Introduction to CALM - YouTube
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Conversational AI Assistants with CALM: Introduction to CALM Rasa
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How CALM keeps your AI on track
CALM extends the flexibility of LLMs with the reliability of deterministic logic. The LLM interprets what the user wants. The logic decides what happens next. That separation keeps your agents fast and predictable.
Dialogue understanding
CALM uses LLMs to understand what the user wants, even when inputs are long, unclear, or unpredictable. Language understanding can be separated from decision-making, so you avoid brittle logic, hallucinations, and hidden behavior.
Business logic
Every action runs through structured, versioned Flows, so you define exactly what your agent does and when.
CALM uses LLMs only when needed, keeping your agent fast and cost-efficient. With testable, fully inspectable logic, you can avoid unpredictable regressions.
Conversation repair
If a user changes topics or backtracks, CALM picks up the thread and keeps the experience smooth.
With built-in Flows and rules, your agent can re-ask, clarify, or guide users back on track—no custom code required.
How CALM keeps latency low and costs down
How CALM keeps latency
low and costs down
Legacy conversational AI tools just bolt LLMs onto old intent-based systems, let them improvise every move, and call it “composite design.”
CALM is different. It combines the flexibility of LLMs with the structure of deterministic logic.
CALM
- Avoids unnecessary LLM calls, promoting cost effectiveness and low latency
- Interprets conversations through LLMs and helps phrase responses
- Defines exactly what happens through deterministic flows
- Is debuggable, versioned and built for real-world complexity
Legacy “Hybrid” Platforms
- Bolts LLMs onto rigid NLU systems
- Locks into fixed classifiers, handling only one task at a time
- Struggles when users change topics or goals
- Handles surface-level tasks, not high-stakes conversations
AI that adapts to your business, not the other way around
use cases
AI that adapts to your business,
not the other way around
Use Rasa across your organization and teams to automate key interactions without changing how you work.
[Customer Experience
Deliver faster, more efficient service across channels, at scale.
See how teams deflect routine requests \n
[Sales
Guide prospects, qualify leads, and hand off at the right moment.
Explore sales and conversion flows
[Employee Experience
Automate internal tasks in IT, HR, and operations with always-available AI agents.
Reduce manual requests across departments
\
See what our customers are saying
customers
See what our
customers are saying
Enterprise teams use Rasa to build and deploy high-trust AI agents that perform in production.
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.
Daniel Schupmann
Head of CAI/ GenAI @B2C and Digital Care Platforms/ Experience
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.
James Bradley
Senior Director of Data Science & Machine Learning
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.
Wayne Foley
Director Software Engineering, Digital Innovation Group, at Providence
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.
Bogdan Stešević
Head of the Group for Quality of Services and Development of AI at eUprava
We’re not experimenting with voice. We’re deploying it. That’s the difference.
Loic Mayet
Information Systems Director, Groupe IMA
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.
Edmundas Balčikonis
CEO, Eddy Travels
We developed a real partnership with Rasa based on developing skills rapidly, correcting bugs quickly, and sharing a wish list with the dev team.
Richard Popa
Project Leader and Solutions Manager, Orange
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.
Albert Heijn
Largest supermarket chain in the Netherlands
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.
Providence Health
Digital Innovation Team
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.
nib Group
Digital Team Lead
N26 transitioned from concept to production in just four weeks, deploying the AI assistant within their secure cloud environment to maintain full data control.
N26
Rasa’s platform enabled us to customize and scale our AI assistant’s capabilities, ensuring it evolved with changing member needs and organizational goals.
nib Group
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.
Gregor Wiest
Head of Innovation, ERGO Group AG
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.
Roland Csibi
Service Hub Owner – User Support Service Hub
AI that adapts to your business, not the other way around
Build your next AI
agent with Rasa
Power every conversation with enterprise-grade tools that keep your teams in control.
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