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Applied Labs

Categories: Customer Support, Automation / Agents, Business & Sales  |  Pricing: Pricing unavailable  |  Official Website ↗

Applied Labs is an AI CX platform that automates customer support, retention, conversion, and proactive outreach across all communication channels.

Applied Labs provides a complete AI customer experience platform designed to turn customer conversations into verified outcomes, actionable insights, and measurable growth. It features AI agents for support, retention (save), conversion, and proactive outreach, operating across email, chat, SMS, voice, and social media. The platform focuses on real, measurable outcomes, where payment is tied to confirmed resolutions, saves, or conversions, rather than just deflections or agent involvement. The platform includes an AI-native help desk where AI agents and human operators collaborate, a Studio for building AI flows from SOPs, and Simulation & Test Coverage tools to validate agent behavior before deployment. It also offers an Applied Assistant for interacting with customer data and an Applied CRM for a unified customer timeline and memory, ensuring consistent context across all interactions and agents.

Key Features

• AI Support Agent
• AI Save Agent
• AI Conversion Agent
• AI Proactive Agent
• Omnichannel communication
• AI-native Help Desk
• Agent Studio & Flows
• Simulations & Test Coverage

Pros

• Automates over 70% of support tickets with high CSAT
• Outcome-based pricing aligns costs with business results
• Unified omnichannel timeline for comprehensive customer context
• Allows building complex workflows without coding
• Includes a 90-day opt-out with no penalty

Cons

• Specific pricing details are not publicly listed, requiring a demo
• Requires integration with existing systems for full functionality
• Focuses heavily on enterprise-level CX, potentially less suitable for small businesses
• Requires a shift to an outcome-based payment model which might be new for some organizations
• No explicit mention of support for a wide range of languages beyond English

Use Cases

• Automating customer support ticket resolution
• Reducing customer churn with personalized save offers
• Converting buying intent into purchases within conversations
• Proactively addressing customer issues before they become tickets
• Analyzing customer conversations for actionable business insights

Best For

• Enterprise customer experience teams
• Businesses seeking to automate customer support and sales
• Companies focused on improving customer retention and LTV
• Organizations needing deep customer insights from conversations

Integrations: Thousands of integrations and custom APIs

Platforms: Web

Watch demo on YouTube ↗

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