306: From Systems of Record to Systems of Action: Putting AI to Work in Manufacturing with Sanjay Brahmawar

Manufacturing Happy Hour · 13 Oct 2026 · 45m

AI in practice: 5 real uses of AI described

What this episode covers

Sanjay Brahmawar, CEO of QAD Redzone, explains how his company uses AI agents to transform manufacturing systems of record into systems of action, focusing on amplifying human potential rather than replacing workers. He details specific use cases, including line lead agents that predict production issues and procurement agents that automate supplier communication, to address the industry's 500,000 open jobs. Brahmawar emphasizes that manufacturers can implement these solutions alongside legacy ERP systems without massive modernization, citing a 40% capacity increase for buyers and improved shop floor engagement as key outcomes.

AI in practice

Where this conversation describes AI being used to build or deliver a product. Part of the AI in practice tracker.

ManufacturingQAD Redzone Champion AI (Line Lead Agent)

An AI agent analyzes production data to predict the top two issues a line lead will face and their impact on OEE, allowing the human to focus on preventing disruptions rather than collecting data.

“They are actually able to use AI to try to figure out, how is that production line going to run? What are the top two issues I'm going to experience? We have an agent called the line lead agent, champion AI agent. And that agent is working with the human line lead to help that person, think through what are the top two issues you're gonna have? How is that going to impact your OEE?”

Sanjay Brahmawar · Hear it at 10:21

Logistics & fulfilmentQAD Redzone Champion AI (Manufacturing Intelligence)

AI checks contracts to identify orders with penalties, locates alternative inventory for other orders, and suggests renegotiating delivery dates for customers with safety stock, optimizing the balance between profitability and customer satisfaction.

“If you have a problem in supply delivery. … what we can do is to use manufacturing intelligence, to be able to figure out, okay, we have supplier issues on these five orders, um, we can check the contracts very quickly to understand which of those orders have, um, contractual penalties, to the top two ones have contractors.”

Sanjay Brahmawar · Hear it at 15:25

Sourcing & supply chainQAD Redzone Champion AI (Procurement Agent)saves the buyer 40% of their time

An AI agent processes unstructured supplier communications (emails/messages) and combines them with structured procurement data, saving buyers 40% of their time on monitoring deliveries and allowing them to onboard more suppliers.

“We built an agent that effectively works on what's called the messy inbox. It understands all of that unstructured communication, combines that with the structured data in your procurement system, and then literally saves the buyer 40% of their time.”

Sanjay Brahmawar · Hear it at 19:40

ManufacturingQAD Redzone (Quality Agents)

Quality agents monitor production processes to identify potential quality issues before they occur, shifting the focus from reactive correction to proactive prevention.

“you have quality agents that are specifically looking at the quality process and being able to really help identify issues way before it becomes a quality issue.”

Sanjay Brahmawar · Hear it at 25:49

ManufacturingQAD Redzone (Maintenance Agents)

Maintenance agents monitor equipment to plot and predict areas where issues might arise, helping to avoid downtime and ensure continuous production.

“You have maintenance agents that are able to monitor and, you know, plot and predict areas where there might be issues when within, for example, to avoid downtime, et cetera.”

Sanjay Brahmawar · Hear it at 25:49

Mentioned

Companies
QAD Redzone, Honda, STÄUBLI
Also
mHUB, IMTS

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