Your AI agent humanized
An agent trained for your segment, that converses naturally, truly resolves issues, and calls the team when needed. Test it now with your type of business.
AI
with OmniSmart AI Agents
10:00 Mon, 05/27
13:00 Tue, 05/28
11:00
north_westDom,AI Agent
Choose a segment and request a demo
See how the conversation starts. By choosing a need, provide your details and the OmniSmart team will contact you to present a real demo, prepared for your company.
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This preview does not query data or perform real actions. The OmniSmart team presents the full demo with the knowledge and integrations suited to your company.
Chat and voice in the same agent
You don't need one bot for WhatsApp and another for the phone. It's the same brain handling all channels.
Handles text and voice
Chats on WhatsApp, website, and Instagram — and also handles voice calls with natural audio.
Resolves, not just responds
Schedules appointments, sends duplicate invoices, opens tickets, checks orders, and updates the CRM on its own.
Knows when to call a human
When the case calls for a person, it transfers to the right team with full history — without the customer repeating anything.
Trained with your company
Learns from your documents, website, and service rules. Responds in your voice, not generic.
24 hours, no queue
Handles as many people as arrive at the same time, day and night, without leaving anyone waiting.
You in control
Monitor conversations, measure quality, and adjust agent behavior whenever you want.
How an AI Agent works in operations
Understand the differences, limits, and precautions for deploying automated service safely.
What is the difference between an AI agent and a chatbot?
A traditional chatbot usually follows menus and predefined responses. An AI agent interprets natural language, consults knowledge, and can trigger authorized actions while maintaining security and transfer rules.
Where do the agent's responses come from?
Responses must use the knowledge base and integrations approved by the company. The project defines sources, permissions, and limits to reduce unfounded responses.
Can the AI transfer to a person?
Yes. The flow can forward the conversation to a human queue with intent, collected data, summary, and history available to the agent.
What tasks can be automated?
It depends on the integrations and rules of the operation. Examples include collecting data, guiding procedures, querying authorized information, opening tickets, and starting workflows.
How to avoid inappropriate responses?
The project combines restricted scope, controlled sources, instructions, permissions, tests, logs, and continuous review. Risk topics must have explicit blocking or escalation rules.
How to start an AI agent project?
Choose a frequent and measurable journey, organize knowledge, map exceptions, and define when the AI responds, executes, or transfers. Then validate with tests before gradual production rollout.