Tiledesk

Tiledesk

Build and automate AI-powered customer conversations without coding.

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Overview

What is Tiledesk?

Tiledesk focuses on building enterprise agentic-AI solutions that automate complex workflows across conversations and channels. The homepage presents it as an AI operating system that orchestrates conversational apps and information retrieval, aiming to make agentic-AI automation accessible in minutes. It emphasizes an open-source foundation, multi-channel live chat, and integrated chatbots that bridge automation with human-in-the-loop support. The product centers on customer engagement, from pre-sales to post-sales, with tools for designing LLM-powered agents and conversational workflows. Tiledesk differentiates itself through its focus on agentic-AI, drag-and-drop chatbot design, and an extensible platform that can be installed or hosted, positioning itself as a backbone for scalable conversational automation. Pricing and plans highlight live chat and chatbot capabilities with options for long-term use and support.
Capabilities

Tiledesk features

AI Operating System for enterprise Agentic-AI solutions and scalable automated workflows in minutes
Open source live chat platform with integrated chatbots and multi-channel support for web, Android and iOS
AI agent builder and drag-and-drop chatbot design studio for LLM-powered agents and conversational apps
Customer engagement platform covering pre-sales to post-sales across channels such as WhatsApp and websites
Free Forever live chat and chatbot plan with hosted dashboard, community support, and integrations for social and messaging channels
Deep dive

More about Tiledesk

Dos and Don'ts

Do

  • Give the AI agent accurate and up-to-date business information.
  • Organize information into appropriate knowledge bases.
  • Use separate agents for different specialized tasks.
  • Test workflows before deploying them to customers.
  • Add human escalation for complex or sensitive conversations.
  • Use prompt chains for complicated workflows.
  • Review AI responses regularly.
  • Use self-hosting when greater infrastructure control is required.

Don't

  • Upload outdated information and expect accurate answers.
  • Let an AI agent handle every situation without an escalation path.
  • Build one oversized prompt when a multi-step workflow would be clearer.
  • Deploy an untested agent directly to customers.
  • Assume all channels have identical setup and pricing requirements.

Use Cases

  • Automating customer support.
  • Building website AI chatbots.
  • Creating WhatsApp customer-service agents.
  • Automating email support.
  • Creating AI shopping assistants.
  • Automating appointment scheduling.
  • Building internal employee support agents.
  • Creating sales and lead-generation assistants.
  • Searching company documents with AI.

 

The verdict

Pros & cons

Pros

No-code visual builder makes AI workflows easier to create.

Supports multiple specialized AI agents in one workflow.

Can use company documents and knowledge bases to answer customer questions.

Supports human handoff when AI cannot resolve a conversation.

Works across web, WhatsApp, voice, SMS, Facebook Messenger, and email.

Cons

Advanced AI automation features are mainly aimed at businesses and teams rather than casual users.

Paid plans can become expensive for organizations needing higher AI-agent and conversation limits.

Understanding RAG, prompt chains, APIs, and multi-agent workflows may require some technical knowledge.

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