Bottoms Up Manufacturing was spending 25–30 minutes every time their team created a new SKU and bill of materials. They had all the right systems — just siloed.
We didn't replace their ERP. We didn't rebuild their operation. GrayCyan layered operational AI directly into the systems they already used.
The margin wasn't hiding in another software purchase. It was hiding inside the friction around the systems already running the business.
Nish, ex-sales engineer at a $15Bn Engineering company, started using AI to solve manufacturing operations problems in 2018 — long before AI became the buzzword it is today. He saw firsthand how much quietly goes wrong between the systems, the people, and the process. He saw the same pattern again and again: the ERP was in place, but the work around it was still manual.
Parts were entered by hand. BOMs were built line by line. Reports were pulled from scattered data. Inventory updates lagged behind the shop floor. And teams still had to chase people for approvals, updates, and decisions. That is where operations quietly slow down.
For seven years, GrayCyan has built practical AI workflows for those exact moments — the gaps between your ERP, your people, your spreadsheets, your vendors, and your production floor.
On the call, you'll leave with a clear view of where your systems are not talking intelligently enough, where time is bleeding, and what the first practical fix could look like. Not a vague AI roadmap. A real starting point.
Approvals stuck in inboxes
BOMs built manually every time
POs checked manually
Job updates chased manually
Our manufacturing AI work has been featured in
New SKUs, vendor details, drawings, specs, and pricing live across emails, PDFs, spreadsheets, and ERP fields. Every manual entry creates delay and risk.
Engineering, purchasing, inventory, and production are not working from one connected flow — so teams rebuild, recheck, and chase details manually.
Sales, purchasing, finance, and leadership are often waiting on someone to manually update the ERP, send an email, or explain what changed.
The drag is hidden between your ERP, spreadsheets, inboxes, and shop floor workflows. It compounds until it hits margin, speed, and scale.
Deep manufacturing operational fluency
AI systems built around real production environments
No disruption to ongoing operations
Layered on top of existing ERP systems
Practical automation — not AI hype
Founder-led implementation approach
Designed for measurable operational ROI
Human-in-the-loop — no black boxes
Phased de-risking with proof-of-value milestones
"Manufacturing AI only matters when it works at scale, under pressure, in the real world."— Nishkam Batta, Founder & CEO, GrayCyan
Book a 20-minute operational review with Nish Batta and walk away with a real starting point — not a pitch deck.