MANUFACTURING · BUILDING PRODUCTS · WINDOWS, DOORS & HARDWARE

AI Automation for Windows, Doors & Hardware.

Harmony digitizes paper travelers and glazing checklists, checks job completeness before staging, keeps IG serial genealogy for every claim, and sequences the line with AI. One AI-native operating system over everything: your floor, your machines, and the software you already run. No rip-and-replace.

Start with a pilot ROI Calculators & Tools

THE PROCESS

First a digital transformation. Then an AI transformation.

FIG. 01 · THE TWO ARCS

ARC 1 · DIGITAL

ARC 2 · AI

Data engineering is the work.AI is what it unlocks.

THE PHASED ROLLOUT

Three phases of a digital and AI transformation.

PHASE 01

PHASE 1

Lay the Data Foundation · Digitization

Every pen-and-paper record digitized at the station, every software system connected, and all of the data unified into one live layer. The digital transformation starts here.

PHASE 02

PHASE 2

Production & Operations Scale

Factory operations turn proactive: live sensors and machine data, the AI scheduling board, predictive maintenance before failure.

PHASE 03

PHASE 3

AI-Native Operations

Agents across the floor and the back office act on the live layer: quality signals, reports, copilots. Humans approve.

AI USE CASES

Eleven ways the AI layer earns its keep.

Index · 10 use cases

U1

Paperwork Digitization

Use case 01 · PEN, PAPER & EXCEL

Problem. A paper job traveler rides with every unit. Glazing checklists at the IG station, remake tickets by hand, staging lists rebuilt in Excel every afternoon.

Harmony AI Solution. Captured once at the station on tablets. AI flags out-of-range entries the moment they are written.

U2

Live Machine Data

Use case 02 · LIVE MACHINE DATA

Problem. Cycle counts live on the HMI, downtime in a logbook, IG line output in a morning verbal report. Nobody sees them next to the day's job load.

Harmony AI Solution. Direct PLC and sensor connections to the Stürtz and Urban saws and welders and the LiSEC and Bystronic lines, any brand, via OPC UA or whatever the machine speaks.

U3

In-Line Quality Intelligence

Use case 03 · IN-LINE QUALITY

Problem. Weld, seal, and glazing defects surface at final QC, after glass, hardware, and assembly labor are in the unit. A remake costs a multiple of the original, and the same cause keeps producing them.

Harmony AI Solution. Every defect captured at the station with its cause. ML clusters the causes and signals the frame line upstream the same shift the pattern starts.

U4

RFID + Serial Genealogy

Use case 04 · RFID & SERIALIZATION

Problem. A unit pulled off the line disappears from tracking. A warranty claim arrives years later and nobody can say how that IG unit was built.

Harmony AI Solution. RFID through fabrication, glazing, and staging: every unit answers, where am I right now?

U5

AI Search Across All Data

Use case 05 · AI SEARCH

Problem. "Which jobs stage incomplete for Friday?" or "Remake causes by line this month?" means a walk to the racks, three phone calls, and an Excel export.

Harmony AI Solution. Answered in seconds with the source shown, across the order system, travelers, and machine data. Idle floor TVs become live AI line boards.

U6

AI Production Scheduling

Use case 06 · AI SCHEDULING

Problem. The sequence is juggled by hand every morning: which glass arrived, which jobs install this week, which welder is down.

Harmony AI Solution. AI production scheduling proposes the sequence against glass availability and install dates, modeled on the planner's own logic. The planner stays in charge and approves.

U7

Inventory + Shortage Intelligence

Use case 07 · INVENTORY

Problem. Hardware stockouts discovered at assembly, glass shortages discovered at glazing, profile counts nobody believes, jobs that ship short.

Harmony AI Solution. An AI-maintained true-stock layer for glass, hardware, and profile. Job-completeness checked before staging, so nothing ships short.

U8

Yield Optimization

Use case 08 · YIELD OPTIMIZATION

Problem. Offcut and cullet get swept up and tallied after the fact, if at all. A bad optimization setting or a bad lot runs for weeks.

Harmony AI Solution. Profile and glass yield live at the saws and cutting tables, by machine, operator, and lot. A bad run shows in an hour, not a quarter.

U9

Predictive Maintenance

Use case 09 · RESOURCE INTELLIGENCE

Problem. A welder goes down without warning and the whole frame line stops. Planned maintenance keeps getting postponed to protect the ship schedule.

Harmony AI Solution. Machine memories for every saw, welder, and glass cleaner: history, criticality, live status. ML on live machine data schedules service before failure.

U10

Back-Office AI Automations

Use case 10 · FULL-SCOPE AI AGENTS · FINANCE, SALES, PROCUREMENT, LOGISTICS

Problem. Field claims arrive as emails and photos. Someone hunts for the order, guesses at the build, and the claim sits for weeks.

Harmony AI Solution. Full-scope AI agents run the workflows across financial, sales, procurement, and logistics: deductions and AR worked automatically, POs parsed from the inbox, and reports written before the morning meeting.

Scope. Financials, sales, procurement, and logistics automations, in the same platform.

01 / 10

YOUR LIKELY STACK

The systems and machines we meet on your floor.

SYSTEMS

FeneTech FeneVisionSoft Tech V6EpicorHomegrown order systemsLegacy document archivesExcelCustom appsLocal servers

MACHINES

Stürtz saws + weldersUrban saws + weldersLiSEC glass + IG linesBystronic glass linesHardware stationsRFID infrastructure

You might run any of these. Or none of them. Harmony is software and hardware agnostic, and we connect live machine data from any PLC brand and any software or custom app.

AI AGENTS

Agents that watch, flag, and act. Humans decide.

Job Completeness Agent

Remake Cause Cluster Agent

IG Serial Genealogy

Glass Readiness Agent

Weld & Seal Quality Watch

Field Claim Triage

PO Inbox Parser

AR + Collections Copilot

Morning Report Writer

Custom Agents, built for your floor and back office

THE PATTERN WE SEE

The problems we see on every windows, doors & hardware floor, and why they happen.

The order system and the staging list do not share data

The same unit is a line number in the order system, a rack position in FeneVision, and a paper traveler on the floor.

Production is tracked on paper

Job travelers, glazing checklists, and remake tickets are handwritten, and staging lists are rebuilt in Excel every afternoon.

Defects are caught at final QC, so remakes multiply

A weld defect or a scratched lite is found after glass, hardware, and assembly labor are already in the unit.

Warranty claims arrive years later, but records are gone

A seal-failure claim requires the spacer, gas fill, line, and day the unit was built, and the paper traveler that held that information was discarded long ago.

The back office runs on manual work

POs are typed in from emails, invoices keyed into the ERP, deductions and AR worked from spreadsheets, and reports built by hand before the morning meeting.

THE PILOT

$15–20K. 4–6 weeks. One painful problem.

We pick one specific pain point, send engineers to live in your factory for 4–6 weeks, and solve it. One-time payment, working software by week 3, and no obligation to go further. If you do, you choose the modules that you like.

FIRST CALLSECOND CALLCHOOSE PILOTDATA ACCESS FROM ITON-SITEBUILDTESTROIREVIEW

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QUESTIONS, ANSWERED

Do you replace FeneVision, V6, or our order system?

Additive by default. The AI layer sits on top of what you already run, and when a system deserves to be replaced, we replace it. Sometimes we're the layer on top of your MES. Sometimes we are the MES: station capture, live line boards, quality, tracking, and scheduling on one AI-native layer.

Can you get live data off our Stürtz, Urban, LiSEC, and Bystronic lines?

Yes. Direct PLC and sensor connections, Allen-Bradley/Rockwell, Siemens, Omron, Mitsubishi, or any other brand, via OPC UA or whatever the machine speaks. Software and hardware agnostic. Cycle and downtime streamed into the AI layer in real time.

Can this actually help with warranty claims on IG units?

Yes, if the genealogy exists. We record spacer, gas fill, and seal data against every IG serial at build. Years later, an AI agent matches a field claim to that record and proposes a disposition, with the build data cited. A person approves.

Our real problem is jobs shipping short. Where do you start?

At staging. RFID through fabrication, glazing, and staging makes every unit answer, where am I right now, and an AI job-completeness check runs before anything stages. Hardware installed as part of the digital transformation, at cost.

How does the AI get our data?

Read-only connections, scheduled exports, or on-prem. Security is reviewed together in scoping. Read-only pilots. Every agent proposes. A person approves.

What does it cost after the pilot?

A per-plant annual platform: unlimited seats, no user fees, hardware at cost. The pilot itself is $15-20K over 4-6 weeks against one painful problem, with working software by week 3.

Do you work remotely?

No. We always start a pilot in person and on-site, with forward-deployed engineers on your floor. Very rarely do we do anything remotely.

When every unit is tracked from saw to staging, every job ships complete and on time.

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ADJACENT FLOORS WE RUN

Building Products →Cabinetry, Furniture & Millwork →HVAC Equipment & Components →