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AI-Enabled Operations

Find what's quietly costing you. Then fix it.

I'm a 20-year manufacturing operator, not an AI agency. I map how work actually moves through your company, put a number on the friction, and build the systems that pay.

30 minutes. I'll show you working AI systems I've built, running live.

20+ YearsFortune 100 Operations
$1.2BAnnual Cost Managed
1,000+Supplier Sites Assessed

The Problem

You don't have an AI problem.
You have a workflow that leaks.

If three of these are true, there is measurable money on the floor.

Quotes and RFQs sit in an inbox for days before anyone touches them.

You find out an order is late when the customer calls to tell you.

Three systems that don't talk, bridged by a spreadsheet one person maintains.

Monday's production meeting takes six people two hours to prepare for.

One person knows how the process really works, and they're near retirement.

Month-end reporting is rebuilt by hand, every month, by someone you pay well.

How It Works

The Process

The same 90-day operating rhythm I've used inside manufacturers for two decades, with AI as the delivery mechanism.

01

Assess

Understand first, build second. Days 1–14.

  • I map how work actually moves — not how the org chart says it does.
  • Every point of friction gets costed in hours and dollars, then ranked.
  • Each finding is sorted: needs AI, needs plain automation, or needs a process fix.
  • You get a workflow map and a 90-day roadmap, yours to keep either way.
02

Pilot

Prove it on one workflow. Days 15–45.

  • We pick one workflow that's painful, frequent, and visible to leadership.
  • Baseline measured before, result measured after. No ambiguity about whether it worked.
  • Built with the people who do the work, so it survives contact with a real shift.
03

Implement & Optimize

Built to last past week three. Days 46–90 and beyond.

  • Roll out the roadmap. I build the straightforward work and manage partners on the rest.
  • Documented SOPs, named process owners, and metrics that stay on after I leave.
  • Optional monthly retainer for monitoring, exceptions, and the next use case.

Typical First Builds

Unglamorous workflows. Real money.

Quote & RFQ intake

Customer requests arrive in twelve formats. Extracted, structured, and routed with a draft already started.

Late-order risk monitor

Open orders watched against promise dates. You find the problem before your customer does.

Supplier follow-up

Repeat failures detected, reviews prepped, every commitment tracked to its due date.

Daily management reporting

ERP, quality, and scheduling pulled into one morning briefing with exceptions called out.

Before You Commit

What is the manual work costing you?

Salaried office and operations staff only — the people whose day disappears into copying, chasing, and rebuilding reports.

$
30%
40%
—Annual labor cost returned
—Hours returned per year
—Equivalent headcount freed

Directional, based on 2,080 hours per person per year. The point isn't the exact number — it's that this figure is never zero, and it has never appeared on your P&L as a line item.

About

I ran the operation before I automated it.

Ryan S. Howard

Ryan S. Howard, Ph.D.

Fractional Operating Partner

Seventeen years at John Deere across final assembly, strategic sourcing, cost management, and global supplier development. I've been the person accountable when a line stops and when a supplier fails.

I've also built the systems side — designing a production-readiness standard now used at over a thousand supplier sites, and training auditors worldwide to run it.

Most people selling AI automation have never owned a cost line or explained to a plant manager why the new system broke their shift. That's the difference you're buying.

131-personFinal assembly department led
$1.2BCost forecast, 300+ suppliers
6 factoriesResourced in under 90 days
1,000+Supplier sites on my standard

Recent engagement: a $60M manufacturer with chronic fulfillment constraints. 15 days out of lead time, 25% more production flexibility. No AI involved — which is rather the point.

Next Step

Bring me your three worst workflows.

I'll tell you which one is worth fixing first.

1

You describe the three workflows costing you the most time or the most customers.

2

I show you working AI systems I've built, so you can see what this looks like in practice.

3

I tell you whether an assessment is worth it here — and if it isn't, I'll say so.

Deployment ready in 72 hours  ·  100% remote

Ryan S. Howard, Ph.D.

Fractional Operating Partner  ·  Operations, Procurement & AI-Enabled Systems

[email protected]  ·  LinkedIn

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