AI agents work better together

AI agents work

better together

With Rasa’s agentic orchestration, MCP and A2A make it possible to scale integrations seamlessly. No matter how many systems, tools, or channels run in the background, every experience feels unified, consistent, and effortless for your customers.

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.

Automate with confidence. Connect with trust.

Master real conversation 

patterns with memory and 

flow control

Messy inputs, missing info, topic shifts—Rasa helps your agents handle the complexity of real conversations without custom code or fragile logic.

Track context across turns to keep conversations coherent—even when users backtrack, shift topics, or change their minds
Prompt for missing info, clarify ambiguous input, and confirm next steps with out-of-the-box patterns you can fully customize
Prevent hallucinations by separating language from logic—LLMs interpret, but Flows stay in control

Make every response feel natural and human

Make every response feel 

natural and human

Rasa uses LLMs to rephrase and respond in a way that feels human, adaptive, and on-brand—while Flows keep every action grounded in your logic.

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.
Adjust phrasing based on how users speak—without changing what your agent is allowed to say
Rephrase responses naturally while preserving structure, compliance, and tone
Let LLMs handle the language layer, while deterministic flows drive behavior
User verification flows

Automate with confidence. Connect with trust.

Complete real 

transactions—not just 

conversations

Rasa agents go beyond chit-chat and FAQs. They guide users through structured, multi-step processes to complete bookings, updates, and real business outcomes.

Trigger Flows that gather inputs, validate steps, and adapt to edge cases
Guide users through transactional workflows like booking, payments, and order changes
Execute every step with logic you can version, test, and scale up to handle high volume

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.