AI Agents That
Take Action
Go beyond simple chat. Create intelligent agents that automate workflows, execute tasks, and plug into the business tools you already run.
No credit card required • Free plan included
Autonomous capabilities
Agents that do more than just talk
Visual Workflow Builder
Configure conversation flows and backend automations without code. There is no drag-and-drop canvas — the steps and rules are set as configuration.
- Drag-and-drop logic nodes
- Conditional branching based on user input
- Webhook triggers and actions
- Real-time testing and debugging
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Autonomous Execution
Your agents take real actions. From booking appointments to updating records, AI handles the busy work while your team watches the audit log.
- Secure authentication handling
- Human-in-the-loop approval mode
- Detailed audit logs of all actions
- Rate limiting and safety controls
What AI agents do for a support team
A chatbot answers questions. An AI agent finishes the job. When a customer asks "where is my order?", a chatbot explains your shipping policy; an agent looks up the order in your system and replies with the actual tracking status. That difference is why teams move from scripted bots to agents.
The most common agent workflows we see: checking order and account status against a CRM or database, booking and rescheduling meetings on a shared calendar, qualifying inbound leads before routing them to sales, processing refund eligibility checks, and collecting structured info (account ID, error message, plan) before a human ever joins the thread.
Agents run on the same multi-model AI as our chatbots (GPT-4o and Claude), trained on your own content. If you just need answers without actions, start with a standard AI chatbot and add workflows later. Nothing needs rebuilding.
Guardrails before autonomy
Letting AI take actions on real customer data is a trust decision, so we made the controls boring and explicit. Every action an agent takes is written to an audit log. You can require human approval for sensitive steps (refunds, account changes) while letting low-risk ones (calendar lookups, status checks) run on their own. Rate limits cap how often an agent can call any given API.
When an agent hits the edge of what it's allowed to do, the conversation escalates to your team inside Microsoft Teams, Slack, or Zoom, with the transcript and the action history attached. Your agent picks up exactly where the AI stopped.
AI agent pricing
You can start on the free plan: 2 seats and 500 messages a month and no credit card required. Pro is ₹2,499/month and Professional is ₹6,499/month. Enterprise raises the limits and adds commercial terms. It does not add certifications — EzyConn holds none.
Compare what each plan includes on the pricing page, or book a demo and we'll build a working agent against your own docs on the call.
AI agent FAQ
Do I need a developer to build an agent?
No for most workflows. Triggers, branching and webhooks are configured without code. Custom JavaScript or TypeScript functions are there when you need specialized logic, not as a requirement.
What systems can agents connect to?
Anything with a REST API: CRMs, order databases, calendars, internal tools. Webhook triggers and actions handle the rest.
Can I stop an agent from doing something risky?
Yes. Human-in-the-loop approval mode holds any flagged action until a teammate signs off, and the audit log records every step either way.
How is this different from a regular chatbot?
A chatbot retrieves and explains information. An agent also executes: it can check, book, update, and escalate. See the AI chatbots overview for the full lineup.
Ready to automateyour workflow?
Start on the free plan: 2 seats, 500 messages a month, no credit card.