AICONIC / Ai agents

Hey Folks! 👋

🎯 How AI agents impact user flow? From chatbots to proactive assistants.

In recent months, I’ve been working on product design processes for large SaaS applications. Each of these applications relied significantly, if not entirely, on artificial intelligence.

While working on these projects, I explored the potential of AI agents beyond their primary role as chatbots. 💬 Chatbots currently serve as the foundation of AI agents, integrating with existing tools to answer questions and assist users with tasks based on prompts.

But times are changing—and fast. The capabilities of AI agents are evolving just as rapidly. Here’s a quick review of some functions I explored:

Initiating actions – suggesting the next steps to the user.

Being a guide – providing real-time updates on the status of processes.

Helping in crises – offering solutions when something goes wrong.

These are no longer passive tools but active assistants that support user flow and fully automate task execution. ✨

Project: AICONIC / Demand Planning module

Description: AICONIC powers real-time decision-making with data, enabling the creation of information-driven enterprises. Through its technology and services, AICONIC allows clients to integrate and analyze all their data, making it possible to answer questions they previously couldn’t. The company seeks talented individuals from around the world to support its mission.

Role: Product Designer / WebApp, Website

👶 Triggering actions – Let’s start!

An agent that doesn’t wait for the user to figure things out but instead initiates actions: “Ready to start? Click here!” It’s a simple yet effective way to lead the user by the hand and motivate them to take action.

🌍 Status – Where are you?

Users like to know what’s going on. An AI agent can act as a guide, providing clear updates: “Process X is in the verification stage.” A simple status update is often all users need to feel in control.

🚨 Helping in crises – the agent to the rescue

Issues happen, but an AI agent can minimize frustration. Not only does it say, “There’s an error,” but it also provides clear steps to fix it. No chaos, just 100% support.

These simple examples show that AI agents are more than just tools—they’re real support at every stage of the user journey. From initiating actions to keeping users informed and helping solve problems.

As always, I’m open to feedback, so feel free to share your ideas for using AI agents in the comments. 👨🏼‍💻🙌