Proactive agents that think, adjust, and guide.

Passive bots Proactive agents 

that think, adjust, and guide.

Rasa gives you the infrastructure to create and manage AI agents that take initiative, clarify when needed, and adapt to real-world complexity.

Let your agents think flexibly and act predictably

Let your agents think

flexibly and act predictably

Enable decision-making and adaptability without improvising every move.

Chat conversation showing a user changing vacation plans from June 16-27 to June 16-30 due to plane arrival delay, with a virtual assistant confirming the update.
LLMs suggest next steps, guiding users through structured or autonomous flows
Blend freeform understanding with deterministic or autonomous process execution
Keep conversations on track even when users change their minds, backtrack, or switch topics
Flowchart showing a conversation where a system asks to confirm a $400 transfer to Danielle Smith, followed by a user asking for their checking account balance, leading to a Co-existence Router asking 'NLU or LLM?' branching into LLM Dialogue Understanding and NLU Classifier.

Use LLMs for what they’re good at—nothing more

Use LLMs for what they’re 

good at

Rasa’s CALM architecture doesn’t bolt on LLMs. It integrates them intelligently, so your agents stay flexible when needed and predictable by default.

Understand the user's intent with a language model or NLU
Use LLMs to improve conversational quality without giving up control over logic
Let Flows drive behavior, while LLMs support phrasing, repair, and natural understanding

Handle long-range goals and unexpected turns

Handle long-range goals 

and unexpected turns

Let agents complete complex tasks and recover from interruptions naturally.

Interface for creating a message with message name 'utter_ask_new_address' and message text 'What is your new address?', an option to use Contextual Response Rephraser, and a save button.Chat conversation where a person asks for investment help and the reply states they cannot support investments but can assist with home buying.
Manage multi-step goals that span different domains and user journeys
Use modular skills that hand off cleanly without relying on brittle, hardcoded paths
Use guard conditions and fallback routines to maintain control at every step

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.

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

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

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.