
Deploy an enterprise-grade AI workforce to automate customer service conversations on voice and chat.
Scale your contact center with generative AI agents that understand, decide, and resolve customer issues.
Top AI for Customer Support & Experience picks
See all 133 AI for Customer Support & Experience tools →For enterprise-level Customer Support & CX, Cognigy is a leading choice. It provides an AI-first platform to build, deploy, and manage AI agents across voice and chat, with proven results like a 70% reduction in average handle time and 99% routing accuracy for global brands like Lufthansa and Toyota.
See Cognigy in action
Your workflow, automated
Before & After
High call volumes, long agent handling times, and inconsistent service across channels.
High Average Handle TimeAutomated resolution of common issues, empowered human agents, and consistent, scalable CX.
Up to 70% AHT ReductionTry it with these prompts
Copy any prompt and paste it directly into the tool.
Generate a response for a customer inquiring about their order status. The customer's order number is [ORDER_NUMBER]. Provide an estimated delivery date based on current shipping information.
Draft a personalized outreach message for a potential client in the [INDUSTRY] sector. Highlight how our AI agents can help them achieve [SPECIFIC_BUSINESS_GOAL] by improving [KEY_METRIC].
Create a concise knowledge base article for our agent copilot. The topic is troubleshooting [COMMON_ISSUE]. Include step-by-step instructions and potential solutions for agents to quickly assist customers.
Trusted by 1,250+ brands
Works with your existing stack
How it compares
Cognigy focuses purely on being an AI-first layer that integrates with existing contact center infrastructure (like Genesys, Avaya), enhancing them with powerful conversational and generative AI. In contrast, a platform like Genesys Cloud CX is an all-in-one CCaaS solution that includes its own AI capabilities. Choose Cognigy when you want to supercharge your current systems with best-in-class AI without a full platform replacement. Opt for an all-in-one solution if you're looking to replace your entire contact center stack and prefer a single vendor.
Is it worth it?
Why Customer Support & Experience choose this tool
Key Use Cases
Cognigy is a powerful, enterprise-grade platform for serious CX automation, recognized as a leader by Forrester. Its strength lies in its omni-channel capabilities and Agent Copilot for human support. The main trade-off is its enterprise focus, which implies significant cost and technical complexity not suitable for smaller teams.
Frequently asked questions
What's the best AI tool for enterprise customer service automation?
How does Cognigy improve agent productivity?
Which AI can handle both voice and chat support for large teams?
Can I use AI to reduce call handling times in my contact center?
Is Cognigy suitable for a small business?
What kind of integrations does Cognigy support?
Last reviewed:
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Take it with you
- **Understand Agentic AI:** Learn how modern AI agents go beyond simple chatbots to understand, decide, and resolve issues.
- **Identify Top Use Cases:** Pinpoint the best starting points for automation in your contact center (e.g., order status, password reset).
- **The Power of Omni-Channel:** Why supporting both voice and chat with a single AI brain is critical for consistent CX.
- **Empowering Human Agents:** Discover how an AI Copilot reduces agent stress and improves performance.
- **Measuring Success:** Key metrics to track beyond containment rate, including AHT reduction and CSAT.
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About Cognigy
Full Description
Cognigy is an enterprise AI platform for building and managing a workforce of AI agents. For customer support teams, it automates service conversations across voice, chat, and messaging channels, and provides an AI Copilot to assist human agents.
Editorial Verdict
Cognigy is a powerful, enterprise-grade platform for serious CX automation, recognized as a leader by Forrester. Its strength lies in its omni-channel capabilities and Agent Copilot for human support. The main trade-off is its enterprise focus, which implies significant cost and technical complexity not suitable for smaller teams.
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