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AI & Automation
Recast.AI
Recast.AI logo
AI & Automation

Recast.AI

Recast.AI is a conversational AI platform designed to help businesses build, train, and deploy intelligent chatbots and virtual assistants. The platform enables companies to automate customer service, sales, and support interactions through natural language understanding. Users can create conversational flows using a visual bot builder interface, integrate with various messaging channels like Facebook Messenger, Slack, and websites, and leverage machine learning to improve bot responses over time. The tool is particularly focused on making AI accessible to non-technical users while providing advanced features for developers. It helps organizations reduce response times, handle high volumes of customer inquiries, and provide 24/7 automated support. The platform emphasizes ease of use with drag-and-drop conversation design, multilingual capabilities, and analytics to track bot performance and user engagement metrics.

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📊 At a Glance

Pricing
Freemium
Reviews
No reviews
Traffic
N/A
Engagement
0🔥
0👁️
Categories
AI & Automation
Agents & Bots

Key Features

Visual Conversation Builder

Drag-and-drop interface that allows users to design complex conversation flows without coding by connecting intents, responses, and actions in a visual workflow.

Multi-Channel Deployment

Enables deployment of the same chatbot across multiple messaging platforms including Facebook Messenger, Slack, websites, and mobile apps through unified management.

Natural Language Understanding Engine

Built-in NLP system that processes user inputs to identify intents and extract entities, learning from conversation data to improve accuracy over time.

Analytics Dashboard

Comprehensive reporting tools that track chatbot performance metrics, user engagement, conversation success rates, and areas needing improvement.

Integration Framework

APIs and connectors that allow chatbots to interact with external systems like CRMs, databases, payment gateways, and internal business applications.

Multilingual Support

Capability to build and deploy chatbots in multiple languages, allowing businesses to serve global audiences with localized conversational experiences.

Pricing

Free/Developer

$0
  • ✓Limited monthly API calls (typically a few thousand requests)
  • ✓Basic bot building tools
  • ✓Standard NLP capabilities
  • ✓Community support
  • ✓Basic analytics dashboard

Professional

usage-based
  • ✓Higher monthly message limits
  • ✓Advanced NLP features
  • ✓Priority support
  • ✓Enhanced analytics
  • ✓Multiple channel integrations
  • ✓Team collaboration tools

Enterprise

custom
  • ✓Custom message volumes and SLAs
  • ✓Dedicated infrastructure
  • ✓Advanced security and compliance features
  • ✓Custom integrations
  • ✓Dedicated account management
  • ✓Training and onboarding support
  • ✓SSO and advanced user management

Use Cases

1

Customer Service Automation

Businesses use Recast.AI to handle common customer inquiries like order status, product information, and basic troubleshooting. The chatbot provides instant responses 24/7, reducing wait times and freeing human agents for complex issues. This results in improved customer satisfaction and reduced support costs while maintaining consistent service quality across all interactions.

2

Lead Qualification and Sales Support

Sales teams deploy chatbots to engage website visitors, ask qualifying questions, and collect contact information. The bot can schedule appointments, provide product recommendations, and route qualified leads to appropriate sales representatives. This automation increases lead capture rates, ensures consistent qualification criteria, and allows sales teams to focus on high-potential prospects.

3

HR and Employee Onboarding

Human resources departments implement chatbots to answer common employee questions about policies, benefits, and procedures. New hires can interact with the bot to complete paperwork, learn about company culture, and get answers to frequently asked questions. This reduces HR administrative workload while providing immediate support to employees at any time.

4

E-commerce Order Management

Online retailers integrate chatbots with their e-commerce platforms to help customers track orders, initiate returns, and get product recommendations. The bot can access order databases to provide real-time status updates and handle simple transactions. This improves the shopping experience while reducing customer service inquiries about basic order information.

5

Healthcare Appointment Scheduling

Medical practices use chatbots to allow patients to book, reschedule, or cancel appointments through natural conversation. The bot can check availability, send reminders, and answer basic questions about services. This reduces phone call volumes, minimizes scheduling errors, and makes healthcare access more convenient for patients.

6

Banking Customer Support

Financial institutions deploy chatbots to handle account inquiries, transaction history questions, and basic banking operations. The bot can provide balance information, explain charges, and guide users through common processes while maintaining security protocols. This enables 24/7 banking support without compromising customer data protection.

How to Use

  1. Step 1: Create an account on the Recast.AI website by signing up with email or social media credentials to access the dashboard.
  2. Step 2: Use the visual bot builder interface to design conversation flows by dragging and connecting nodes representing user intents, bot responses, and actions.
  3. Step 3: Train your chatbot by defining intents (what users want) and entities (key information to extract) using the built-in NLP training tools.
  4. Step 4: Test the chatbot in the integrated simulator to verify conversation logic and refine responses before deployment.
  5. Step 5: Connect the chatbot to desired channels (Facebook Messenger, Slack, website widget, etc.) using provided integration options and APIs.
  6. Step 6: Deploy the chatbot live and monitor its performance through the analytics dashboard, tracking metrics like conversation volume and user satisfaction.
  7. Step 7: Continuously improve the bot by reviewing conversation logs, identifying misunderstood queries, and retraining the NLP model with new examples.
  8. Step 8: Scale the solution by adding more complex workflows, integrating with backend systems (CRM, databases), or expanding to additional languages and channels.

Reviews & Ratings

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At a Glance

Pricing Model
Freemium
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