DeskClone AI

DeskClone AI is a platform for building AI customer support agents that answer from a company's own knowledge and autonomously resolve issues end-to-end, on flat monthly pricing.

Your clone, live and working - a live agent dashboard showing real resolution rate, conversation volume, and time saved, updated as your clone works.

Cost / License

Freemium (Pay once or Subscription)
Proprietary

Application typeApplication types

Origin

India

Since

Since 2026

Platforms

Online
Software as a Service (SaaS)

Build your agent by talking to Jarvis - describe what you want in plain language, and Jarvis creates the agent, tunes its rules, and confirms every change it made. No workflow builder, no config files.

Real actions, real guardrails - wire up Shopify, PayPal, Zendesk, and more. Each tool is tagged Read-only, Action, or Destructive, with guardrails, so you control exactly what your agent is allowed to do.

Resolves the ticket, not just answers it - mid-resolution, the agent collects what it needs (affidavit, receipt) and processes a real replacement order end-to-end, no human required.

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Properties

AI-Powered

Features

No Coding Required
Auto Responder
Dark Mode
Live Preview
Ad-free
Real time collaboration
Support for MarkDown
AI Chatbot

DeskClone AI information

Developed by
DeskClone AI
Licensing
Proprietary and Freemium product.
Pricing
One time purchase ranging between $15 and $45, and / or subscription ranging between $19 and $199 per month + free version with limited functionality.
Alternatives
4 alternatives listed
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Supported Languages
- English

AlternativeTo Categories

Business & Commerce, AI Tools & Services

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DeskClone AI was added to AlternativeTo by Aarohi Kulkarni on Jul 18, 2026 and this page was last updated Jul 18, 2026.

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What is DeskClone AI?

DeskClone AI is a platform for building AI customer support agents. Instead of configuring workflows manually, users describe their support requirements in natural language to Jarvis, the platform's built-in builder agent, or upload specification documents; the platform then generates the knowledge base, and builds, configures, and publishes the AI agent with a one-line embed code.

Published agents answer from the company's own knowledge base, drawing on documents, cloud storage, and past support conversations. They can also take real support actions - like looking up an order, processing a refund, or fixing an account - by connecting to the business's own tools through REST APIs or MCP servers. Agents are self-learning: they get smarter with every conversation, with no retraining. Customer-facing sessions run with guardrails by default, limiting access to safe, permitted actions, with sensitive operations subject to server-enforced limits.

Pricing is a flat monthly fee rather than per-resolution or per-ticket.

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