Connect ERP, MES, and CRM -
and put AI where the work happens.
We build AI workflows for discrete and process manufacturers - focused on the order-to-cash, quality, and supply chain motions where shop-floor data, ERP transactions, and customer demand have to operate as one system.
Discuss an engagement- Where the value sits
Manufacturers already have the data. The gap is the connective tissue between systems.
ERP, MES, CRM, CMMS, quality, supplier portals - the data is there, but the workflows that move information between them are still manual. That's the gap AI closes, faster and cheaper than another integration project.
Quoting and CPQ cycle time is a sales constraint - AI compresses it without replacing your engineers.
Quality and scrap data is the single most under-used signal on the shop floor.
Supply chain disruption response is still email and spreadsheets at most mid-market manufacturers.
- What we automate
Practical AI use cases for mid-market manufacturers.
Quote-to-order automation
Customer RFQs parsed into structured line items, matched against your catalog and prior pricing, with a draft quote generated for sales engineering review.
Quality and scrap analytics
Defect, scrap, and rework data summarized into causes you can act on - pareto by line, shift, part, and supplier - drafted weekly for the ops review.
Maintenance and downtime copilot
Work orders summarized, recurring failure modes flagged, and SOPs surfaced to the tech - reducing MTTR without ripping out your CMMS.
Supply chain exception management
Supplier delays, ASN gaps, and inventory exposures surfaced from ERP/MES signals - with draft response messages to suppliers and customers.
Customer service and order ops
Order status inquiries, ETA changes, and returns inquiries handled in your CRM with draft responses grounded in ERP and shipping data.
Engineering and document AI
Engineering changes, BOM updates, and spec documents searchable across your PLM and shared drives - so engineering hours go into new work, not lookup.
- How we deliver
Four moves we make to ship AI on the shop floor and in the back office.
Connect the operational data
ERP, MES, CRM, CMMS, and supplier data unified through governed APIs - so AI workflows operate on numbers the ops director already trusts.
Target one revenue or margin loop
Quote-to-order, quality recovery, or maintenance MTTR - whichever has the largest delta between today's metric and what good looks like.
Embed AI in the tools they use
Sales engineers in CRM and quoting tools, production in MES dashboards and Teams, supply chain in ERP and supplier portals - not in a new app.
Measure on shop-floor KPIs
Quote turnaround time, FPY, scrap rate, MTTR, on-time-in-full - reported back into the ops review, not a side dashboard.
- What you get
Operations that respond at customer speed.
- Faster quote-to-order turnaround - measured in days or hours against your current baseline.
- A clearer view of quality and scrap drivers - and a faster loop from signal to corrective action.
- Lower MTTR on critical equipment - with the savings tied back to OEE improvement.
- Supplier and customer communications drafted automatically from ERP signals - so exceptions surface earlier.
- A connected ERP-MES-CRM data layer your IT team can extend - not a black-box AI tool.
- Begin
Think of the value
we can add in 90 days.
Schedule a 60-minute briefing with our leadership team. We’ll map the highest-ROI AI plays for your specific business - no slides required.
Let's TalkCalibrate on your business priorities, current operating data, and budget cycle.
A short, board-ready brief identifying the top three AI initiatives - with quantified ROI ranges.
For executive introductions and partnership inquiries - replies within 24 hours.