“Last month I was just asking ChatGPT to write emails. Now I’ve built a client onboarding tool, and my team probably thinks I hired a developer.”
VP of Operations
Series B SaaS
3 internal tools shipped
Manufacturing · Field Services · Logistics
AI Consulting for Manufacturing That Starts on the Floor
Most AI consulting for manufacturing is sold by people who have never stood on a shop floor. We start with how your work actually moves — quotes, jobs, routes, and the tribal knowledge holding it all together — and only then talk about AI.
5.0
Rated 5.0 on Trustpilot & Google
The Problem
Your systems don't talk. Your best people are the glue.
The job lives in the ERP. The pricing logic lives in a spreadsheet. The schedule lives on a whiteboard. The customer's quirks live in your best estimator's head, and the setup tricks live with a machinist who is two years from retiring. Every day, a handful of people manually stitch those pieces together — and the month depends on them showing up.
Meanwhile, the AI pitches you get are written for software companies. Vendors selling “transformation” to people who run real machines, real trucks, and real crews — without ever asking how a job actually moves from quote to cash in your shop.
We do the opposite. Map how the work moves, find the two or three places AI actually pays for itself, and prove one of them — before anyone says the word “transformation.”
On the Floor, On the Route, In the Back Office
What AI for manufacturing companies actually looks like
Not a chatbot on your website. Working help on the five workflows that decide the month.
The estimating desk
Quoting From Drawings and Job History
Your estimator prices from drawings, old jobs, and memory. AI reads the drawing, pulls the closest past jobs from your ERP, and drafts the quote for a human to check. Quotes go out in hours instead of days — and slow quotes lose work to whoever answered first.
The floor
On-Time-Delivery Visibility
Right now, knowing which jobs will ship late means walking the floor and asking. AI watches job status across your ERP and spreadsheets and flags the orders drifting toward late — while there is still time to expedite, not after the customer calls.
The whole shop
Tribal-Knowledge Capture
Setups, workarounds, customer quirks, pricing logic — it lives in a few heads, and those heads retire. We turn what your best people know into a system the whole shop can ask, so the knowledge stays when they go.
The route
Dispatch and Scheduling
Routes and schedules built by hand in the morning scramble. AI drafts the day from your jobs, techs, and territories, and re-plans when a truck breaks or a job runs long. The dispatcher decides — with a draft instead of a blank board.
The back office
Back-Office Automation
POs, invoices, packing slips, certs, and email threads that get retyped into the system by hand. AI reads the paperwork and does the retyping. The office stops being the bottleneck between finishing the work and getting paid for it.
Three Ways In
Start where you actually are
Before you invest
You want a straight answer before spending anything
Start with the free AI readiness assessment. Ten questions, a score across seven dimensions, and a roadmap. No call required.
Ready to act
You know AI matters and want your people using it
Training built on your real quotes, routes, and paperwork — not a demo dataset. One team in a day, or a program across the company.
Stalled mid-rollout
You started, and it never made it past the pilot
A consultant left a deck, or an internal experiment fizzled. We diagnose what stalled, then either fix the plan or build the workflow for you.
How We Work
Diagnostics first. Guardrails before the incident.
We assess before we recommend, and we put the guardrails in before the rollout — not after. Your quoting history and customer list are a competitive asset. The point of governance is that your team gets to use AI on them safely, instead of pasting them into random free tools because nobody wrote the rules.
AI use policy
Written for your company: what is allowed, what is not, and which tools are approved.
Spend controls
Who can buy what, caps per tool, and one place to see the monthly AI bill.
Data boundaries
What can leave the building, what stays, and which systems AI can read.
In their words
Operators who came in skeptical and stuck with it
Founders, CEOs, and operators — trained on their own work, measured afterward.
“Research that used to take me half a day now takes 20 minutes. Competitor analysis, market research, customer interviews - all transformed.”
Strategy Consultant
Management Consulting
10+ hrs/week back
“I finally understand what my engineering team is talking about. More importantly, I can spec out AI features without needing them in every conversation.”
Product Leader
Fintech
Spec-to-build cut 40%
“The prompt engineering framework alone saved me. I was getting mediocre AI outputs for months. Now I get usable first drafts 90% of the time.”
Marketing Director
E-commerce Brand
70% less content time
Who you work with
An operator, not a deck
I've spent 13+ years as a CEO and serial founder in B2B SaaS. Raised $8M+. Shipped 10+ AI products. My clients include PE-backed companies whose software runs field-service crews — the world of routes, trucks, and jobs, not just dashboards.
Most AI consultants are technologists who learned to present. I'm an operator who builds with AI every day and teaches teams to run what we build. You get working workflows and people who can keep them running — not a deck.
13+ years in B2B SaaS
$8M+ raised
10+ AI products shipped
PE-backed client companies
Fit Check
We'd rather tell you no on the first call
Right fit if
- You run a job shop, contract manufacturer, fabricator, field-service company, or distribution operation with 20 to 500 people.
- Quoting, scheduling, or on-time delivery depends on two or three specific people being in the building.
- Your ERP, spreadsheets, and email each hold a piece of the truth, and nobody sees the whole picture.
- Vendors keep pitching you "AI transformation" and none of them have asked how a job actually moves through your shop.
- You want one working workflow that proves it, before any talk of a bigger program.
Not the right fit if
- You want a computer-vision or robotics vendor — we work on the workflow and knowledge layer, not machine hardware.
- You are looking for a big-firm transformation program with a steering committee and a two-quarter discovery phase.
- You want to rip out your ERP. We build on what you run today.
AI Consulting for Manufacturing FAQs
Your ERP, your data, your people, and what an engagement looks like.
Do you know our ERP and our industry?
We are not an ERP vendor and we are not selling you a migration. We work with whatever actually runs your shop today — jobs in an ERP, quoting in spreadsheets, scheduling on a whiteboard, and the important parts in two people’s heads. The first step of every engagement is mapping how work really moves through your operation, in your systems and your language. We have done this for job shops, field-service operators, and the software companies that serve them.
What does AI consulting for manufacturing cost?
It is scoped on the call, in writing, before any work starts. The number depends on how many sites and systems are involved and whether you want a diagnostic, training for your people, a working build, or all three. You get a fixed written scope with a fixed number — no hourly meter, no surprise phase two. If we are not the right fit, we say so on the first call.
Do you come onsite?
Yes, and for manufacturing we recommend it. Walking the floor, riding along on a route, or sitting with your dispatcher for an hour tells us more than a week of video calls. Follow-up sessions work fine over Zoom. Either way, the work is built around your operation, not a generic playbook.
Our data is a mess. Is that a problem?
It is the normal starting point. Drawings in folders, pricing in one estimator’s head, job history spread across an ERP and email — that is what we expect to find. You do not need a data warehouse or a clean-up project before AI is useful. The diagnostic maps what you have and finds the workflows where AI works with the mess you already run.
Do our people need to be technical?
No. Your estimators, dispatchers, office staff, and floor leads use the tools they already know, plus AI on top. Training runs on their real quotes, real routes, and real paperwork — not a demo dataset. The measure of success is that the work gets faster, not that anyone becomes a programmer.
How long before something is actually working?
The diagnostic takes weeks, not quarters. From there, the first working workflow — a quoting assistant, a daily on-time-delivery digest, a paperwork automation — typically lands within the first month of the engagement. We start with one workflow that matters and prove it before touching anything else.
What about security, governance, and keeping our data ours?
Handled before rollout, not after an incident. Every engagement includes an AI use policy written for your company, spend controls, and clear boundaries on what data goes where. Your quoting history and customer list are a competitive asset — the guardrails exist so your team can use AI on them safely instead of pasting them into random free tools, which is what happens when there is no policy.
Bring the floor. We'll bring the diagnosis.
Thirty minutes about how work moves through your shop. A written scope in two business days. If AI is not ready to pay for itself in your operation, we will tell you that too.
Book a Scoping Call