I issued a challenge regarding real-world applications of AI. I have a craving to dig beneath the hype I’ve been reading. Applications with built-in artificial intelligence (AI) have existed for decades. You probably are running some—for sure in manufacturing. But also in your daily work on a computer.
The hype grew with the rapid development of large language models (LLMs) and what is labeled Generative AI. People have been falling all over themselves playing with ChatGPT, Claude, Sora, and much more. I use Claude. It’s been helpful as a researcher/analyst.
Is there more?
A publicist for a new company called GrayCyan took me up on the challenge.
Many manufacturers are sitting on AI-driven efficiencies that go way beyond robots and predictive maintenance, and most shops haven’t even noticed them yet.
OK, that’s enticing.
Nishkam Batta, founder and CEO of GrayCyan, a company that specializes in creating custom AI solutions for the manufacturing and industrial industry, has a unique perspective on these gaps. Some topics he can speak to:
- Overlooked AI moves that are driving the next wave of efficiency in industrial operations.
- The AI gap is costing manufacturers millions.. 3 places where money’s leaking.
- Beyond predictive maintenance: Simple hidden AI plays that slash costs and boost throughput
I had to take him up on that. We talked last week.
They have a LinkedIn magazine called HonestAI. You can check that one out. They also publish it as a glossy and pdf. It’s pretty cool.
Here is some background.
GrayCyan is an applied artificial intelligence company that builds human-in-the-loop AI systems for mid-sized organizations. The company specializes in AI middleware that integrates with legacy ERPs, CRMs, and operational platforms to automate administrative workflows, improve data consistency, and support real-world business operations.
He told me recent studies show that SMBs that adopt AI for operations and planning improve coordination across production, purchasing, quality, and scheduling. This means fewer misunderstandings, fewer duplicated tasks, and fewer delays caused by missing or outdated information. Because small companies feel the impact of every mistake more sharply than enterprises, this improved visibility allows them to run smoother, leaner operations that often outperform larger competitors who have navigated the rigid internal structures.
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