Pricing

Supercharge your bots with the Rasa AI connector

Elevate your conversational agents by linking Rasa to the Swiftask ecosystem. Automate complex intent management and accelerate text data processing. Leverage a flexible architecture to turn customer interactions into true productivity drivers.

🔌 Triggers
How to access the agent

Incoming email

agent-slug@swiftask.ai

Webhook

Trigger via API

Swiftask chat

Conversational interface

Widget / Chatbot

Embedded on your website

Attached LLMs

Gemini

Claude

Mistral

OpenAI

AI Agents

Connector Rasa · Secure OAuth 2.0

⚡ Actions
What the agent can do

Complex intent analysis

Use Rasa to classify complex customer requests and trigger precise Swiftask actions. 40% reduction in ticket processing time.

Dynamic scenario management

Let Rasa handle dialogue branching while Swiftask executes background tasks. Improved path completion rates.

Real-time entity extraction

Automatically extract structured data from conversations to feed your business tools. Zero manual data entry.

Private & secure chatbots

Deploy Rasa on-premise connected to Swiftask for total data sovereignty. Guaranteed GDPR compliance.

Intelligent multilingual support

Leverage Rasa's NLP capabilities to provide seamless support in over 50 languages. Simplified international expansion.

FAQ automation

Transform static knowledge bases into dynamic, conversational answers. Reduced customer service workload.

Performance monitoring

Analyze your Rasa dialogue performance directly in the Swiftask reporting interface. Data-driven decision making.

Continuous model updates

Automatically retrain your Rasa models using interaction logs collected by Swiftask. Constant precision improvement.

3,000+ integrations available

Concrete results

500+

Companies using Swiftask

productivity increase

3000+

Integrations available

Technical setup: Guide for Rasa

Deploy AI across your organization in a few simple steps

Initialize your Swiftask Agent

Create an agent instance in your Swiftask dashboard and define its primary objectives.

Configure the Rasa connector

Enter your Rasa API credentials in the Swiftask interface to establish a secure gateway between your servers.

Activate data flow

Define the endpoints and Rasa models your agent should query to enrich its responses.

Now is the right time to start

Turn conversations into results. Start your 7 day trial.

Business use cases: Automate with AI

Discover how the Rasa-Swiftask integration pushes beyond classic chatbot limits through advanced contextual understanding.

Complex intent analysis

Use Rasa to classify complex customer requests and trigger precise Swiftask actions. 40% reduction in ticket processing time.

Dynamic scenario management

Let Rasa handle dialogue branching while Swiftask executes background tasks. Improved path completion rates.

Real-time entity extraction

Automatically extract structured data from conversations to feed your business tools. Zero manual data entry.

Private & secure chatbots

Deploy Rasa on-premise connected to Swiftask for total data sovereignty. Guaranteed GDPR compliance.

Intelligent multilingual support

Leverage Rasa's NLP capabilities to provide seamless support in over 50 languages. Simplified international expansion.

FAQ automation

Transform static knowledge bases into dynamic, conversational answers. Reduced customer service workload.

Performance monitoring

Analyze your Rasa dialogue performance directly in the Swiftask reporting interface. Data-driven decision making.

Continuous model updates

Automatically retrain your Rasa models using interaction logs collected by Swiftask. Constant precision improvement.

Frequently Asked Questions

Is the Rasa connector compatible with on-premise installations?+

Yes, Swiftask enables a secure connection with your self-hosted Rasa instances to ensure data confidentiality.

How can I handle Rasa prediction errors?+

You can configure confidence thresholds in Swiftask to automatically hand over to a human agent when bot certainty is low.

Does integration impact response latency?+

The Swiftask architecture is optimized to minimize latency between user requests, Rasa analysis, and response execution.

Can I use my own custom NLU models?+

Absolutely, the connector is designed to adapt to your specific models trained on Rasa NLU.

What is the scalability of this solution?+

The solution is built to handle high volumes of simultaneous messages by scaling your Rasa instances.

Are there built-in supervision tools?+

Swiftask provides a dedicated dashboard to monitor Rasa interactions and identify friction points in your dialogues.

Ready to automate your Rasa connector?

Turn conversations into results. Start your 7 day trial.

Swiftask Platform

Web

Accessible from all your browsers

Chrome

Desktop

Native app for Mac & Windows

Windows

macOS

Mobile

Native iOS & Android apps

Play Store

App Store

▶

AI Agents

▶

Your workflows

Automate

No-code automation

Incoming email -> Agent replies

Form -> CRM updated

Schedule

Plan recurring tasks 24/7

Daily report at 9 AM

Weekly watch

Connect

Link your tools in a few clicks

Gmail + Slack + Canvas

+3000 integrations