For the last two years, the corporate world has been obsessed with AI that can talk. "Write me an email." "Summarize this meeting." "Translate this document." That phase is ending. We are now entering the era of AI that can do.
As a founder, I am frankly bored of Chatbots. They are passive. They wait for you to ask a question. In business, I don't pay people to wait for questions—I pay them to execute tasks.
This is why at 9AI, we are shifting our entire R&D focus toward Agentic AI.
What is an "Agent"?
Think of a Chatbot as a smart intern who is locked in a room with no internet and only a pen and paper. They can write great letters, but they can't actually mail them.
An AI Agent is that same intern, but you've given them a laptop, a WiFi connection, and a login to your CRM.
- Chatbot: "Here is a draft of the invoice for Client X."
- Agent: "I noticed Client X's order was delivered. I generated the invoice, logged into Quickbooks, sent it to their accounts payable department, and set a reminder to follow up in 15 days."
Moving from "Co-Pilot" to "Auto-Pilot"
The friction in the current AI generation is the Human-in-the-Loop. You have to prompt the bot, read the output, and then copy-paste it somewhere else.
Agentic workflows remove the copy-paste.
We are currently building agents for clients in Supply Chain that monitor inventory levels.
When stock drops below a threshold, the Agent doesn't just alert a human. It checks the supplier's API for pricing, drafts the PO, and presents it to the manager with a simple "Approve/Reject" button.
The Workforce Implication
Does this replace humans? No. It elevates them.
We are moving your staff from "Data Entry" to "Data Supervision." I don't want my best employees spending 10 hours a week creating invoices. I want them spending that time calling clients and building relationships.
The future isn't about talking to computers. It's about assigning them work. If your AI strategy for 2026 is just "better chatbots," you are already falling behind.