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๐ŸŽค Speaking at IISE ยท May 16โ€“19Learn more โ†’
Industrial Engineer AI
The Process

Define. Measure.
Explore. Develop.
Implement.

Every engagement โ€” regardless of industry, technology, or problem size โ€” runs through the same five-step process. It's not consulting. It's engineering. And it ends with a measurable financial outcome, not a report.

Five Steps. Every Engagement.
01
Define

Find the exact P&L line that's bleeding.

We start by listening. You describe the challenge โ€” not in technical terms, just the business pain. We map where data is disconnected, where manual handoffs slow decisions, and where the cost lives on your P&L. No jargon. No assumptions. Just a precise definition of the problem worth solving.

โœ“ Done when: The problem is X, it costs you $Y per month, and it lives in Z part of your operation.
02
Measure

Quantify the waste before we touch anything.

Before building a single thing, we establish the baseline. How long does the manual process take? How many errors occur? What does one hour of delay actually cost? We pull data from wherever it lives โ€” spreadsheets, ERPs, PDFs, voice recordings โ€” and build a measurement framework that makes the ROI undeniable before we start.

โœ“ Done when: You have a before-state number you can show your CFO.
03
Explore

Design the AI use case that fits your reality.

This is where industrial engineering meets AI. We explore which combination of tools โ€” OCR, voice agents, vision systems, process automation, data pipelines โ€” solves your specific problem at your specific scale and budget. We're tool-agnostic. We pick what works, not what we're selling. You see 2โ€“3 options with estimated costs and outcomes before we commit to anything.

โœ“ Done when: You can choose the approach that fits your risk tolerance and timeline.
04
Develop

Build it fast. Ship it real.

We build in weeks, not quarters. No 18-month transformation projects. No rip-and-replace. We connect to your existing systems, build the AI layer on top, and deploy it where your team actually works. You see a working prototype before the invoice arrives. Your team uses it before we call it done.

โœ“ Done when: Your team is using it and the manual process is optional.
05
Implement

Roll it out. Lock in the gains.

Develop gets it working. Implement gets it adopted. We deploy to your full operation, train the team, and build the dashboards and alerts that keep the solution running without us. You own it. You can run it. The savings don't disappear when we leave.

โœ“ Done when: The ROI is measurable, visible, and yours to keep.
The Process In Action

Three Challenges.
One Process.

The problem type doesn't matter. The industry doesn't matter. The five steps are the same every time.

Disconnected Data
Professional Services

Tax documents processed manually, errors compounding quarterly.

Define40 hrs/week of staff time re-keying data from client PDFs.
Measure$87K/yr in labor cost. 3โ€“5 errors per month creating audit risk.
ExploreOCR pipeline + structured extraction agent + validation layer.
DevelopDeployed in 3 weeks. Integrated with existing accounting software.
ImplementError rate dashboard. Automated exception flagging. Staff retrained.
Outcome
38 hrs/week recovered. Error rate dropped to near zero.
Voice & Vision
Manufacturing / Distribution

Quality inspection done by eye, defects escaping to customers.

DefineVisual inspection at end of line โ€” subjective, inconsistent.
Measure2.3% defect escape rate. $140K/yr in returns and rework.
ExploreVision system on existing camera infrastructure + defect classification model.
DevelopPilot line deployed in 4 weeks. Model trained on client's defect history.
ImplementReal-time defect dashboard. Weekly model retraining. Line supervisor alerts.
Outcome
Defect escape rate reduced to 0.4%. $110K in annual rework savings.
Slow Decisions
B2B Services / Healthcare

Brand voice inconsistent across channels, content taking hours per post.

DefineMarketing team spending 3โ€“4 hrs per LinkedIn post matching founder's voice.
Measure12 hrs/week of senior staff time on content. Inconsistent brand perception.
ExploreBrand voice AI trained on existing content + structured brief-to-publish workflow.
DevelopDeployed in 2 weeks. Integrated with existing content calendar.
ImplementBrand consistency scoring. Weekly performance review. Voice model updated quarterly.
Outcome
Post creation time: 3 hrs โ†’ 15 min. Output volume tripled. Voice consistency: 94%.
Why This Process Wins

You see the math before you commit.

The Measure step produces a baseline number. You know the ROI before we build anything. No surprises.

We're tool-agnostic by design.

Industrial engineers don't sell tools. We solve problems. The Explore step finds the right tool for your specific situation โ€” not the one we're paid to push.

You own it when we're done.

The Implement step isn't just go-live. It means full adoption โ€” your team trained, dashboards live, and the savings visible to your CFO from day one.

Your Stack

We don't replace it.
We enhance it.

SAP
Oracle WMS
Manhattan Associates
Blue Yonder
NetSuite
Infor WMS
HighJump
Fishbowl
QuickBooks
Spreadsheets
Legacy ERPs
Any Custom System

What's your challenge?

Tell us the business pain in plain language. We'll run it through the process and show you what's possible โ€” in 15 minutes, at no cost.