Westmarch Partners

Put AI to work where it pays.

Your team gets hours back every week,
your customers get faster answers,
and you see the return in dollars.

Get your assessment Estimate your return
  • Two weeks to a full assessment
  • Fixed scope on every build
  • Measured against where you started

Results

Companies like yours are already putting AI to work.

In McKinsey’s 2026 survey, nearly 9 in 10 companies use AI in some part of the business. Pick your industry to see what it’s doing for a company like yours.
McKinsey, The State of AI in 2026

Unytite · U.S. fastener maker, founded 1986

Finding a drawing or spec now takes under a minute.

  • 90%+less time spent searching
  • 200+ hrssaved across engineering and production
  • 60,000drawings and documents, now in one searchable place

Drawings and specs used to be scattered across network storage, the ERP and email, so people asked senior staff where things were. Now they search one place.

Source: CADDi, the software vendor, Jan 2026

What could this do for you?

These are published results from other companies, not Westmarch clients.

Sound familiar?

  • Your best people are buried in busywork.

    Re-keying orders, chasing paperwork, hunting for files.

  • Growth means more hires.

    Every new customer adds admin work, and hiring is slow.

  • Know-how lives in a few heads.

    When a key person leaves, the knowledge leaves too.

  • Tools that never stuck.

    Licenses bought, demos watched, nothing changed on the P&L.

The companies getting results pick the right work, build AI into how their team already works, and measure what it returns. That’s all we do.

  • We build it.Working tools in your systems, not a slide deck.
  • We measure it.Against a baseline taken before anything changes.
  • We train your team.So it keeps getting used after we’re done.
  • We start where it pays.One proven win first, then the next.

Where AI pays

Every part of a business has work AI can take on.

Pick an area to see where companies start.

01 / 08

Sales & quoting

Faster quotes. More time selling.

  • Quote drafting

    Built from past jobs and current costs.

  • Proposals

    Assembled from your best past work.

  • Lead research

    Prospects qualified before the first call.

  • CRM upkeep

    Notes and emails logged for you.

  • Pricing insight

    Margins by customer and product.

Estimate

What could AI be worth to your P&L?

Built on published research and applied conservatively. Adjust it to fit your business.

Industry
$20M
35%

Used to count added revenue as profit.

30

People who work mostly at a desk: sales, estimating, customer service, accounting, admin and management. Shop-floor time isn’t counted.

Built on published research from the Federal Reserve Bank of St. Louis, the U.S. Bureau of Labor Statistics, McKinsey, Science and the National Bureau of Economic Research.

Estimated yearly impact on your P&L

$0

0% of revenue · 0 hours back every week

  • Time back

    Everyday work, done faster.

    $0

  • Automated work

    Repetitive workflows, built out.

    $0

  • Added profit

    Faster quotes and follow-up, at your margin.

    $0
Send me this estimate
How we calculate this
  1. Office hours = office staff × 1,920 (40 hours a week, 48 weeks). Shop-floor and field time isn’t counted, so the estimate stays conservative.
  2. Time back: 5.4% of office hours, the average time saved by workers who use generative AI [1].
  3. Automated work: we assume your first builds target work that fills one office hour in ten, and cut that time by 40%, as measured for professional writing tasks [2]. In customer support, AI lifted output 14% per hour [3].
  4. Hours are valued at the BLS employer cost per hour worked, wages plus benefits, for your industry: manufacturing, $48.62 [4].
  5. Added profit: revenue × 1%, a third of the low end of the 3–15% revenue uplift McKinsey reports for companies investing in AI in sales [5], × your gross margin.
  1. [1] Bick, Blandin & Deming, “The Impact of Generative AI on Work Productivity,” Federal Reserve Bank of St. Louis, Feb 2025
  2. [2] Noy & Zhang, “Experimental evidence on the productivity effects of generative artificial intelligence,” Science, July 2023
  3. [3] Brynjolfsson, Li & Raymond, “Generative AI at Work,” NBER Working Paper 31161, 2023
  4. [4] U.S. Bureau of Labor Statistics, Employer Costs for Employee Compensation, June 2026
  5. [5] McKinsey & Company, “AI-powered marketing and sales reach new heights with generative AI,” May 2023

Freed hours pay off when they go to higher-value work or replace new hires. These are estimates, not promises. An assessment measures your real numbers.

Start here

The AI Opportunity Assessment.

In two weeks, you’ll know where AI will pay off in your business, what it’s worth, and what to do first.

  1. Week 1

    We learn the business.

    We talk with the people who do the work, walk through where the hours and dollars go, and look at the systems you already use.

  2. Week 2

    We size the opportunities.

    Every place AI could help, ranked by what it’s worth and how hard it is, with a plan to keep your data safe.

  3. Readout

    You get the plan.

    A 90-day roadmap with the first projects in order, each with a fixed price, presented to your leadership team.

The plan is yours to keep, whether or not we build it.

Request an assessment

Approach

From first call to measured return.

Each phase stands on its own. You only move on when the last one pays off.

  1. Assess

    About two weeks

    Find where your time and money go, and size each opportunity in dollars.

    • Opportunity map
    • Savings model
    • Roadmap

  2. Build

    Fixed scope and price

    Build it into the tools your team already uses. Measure it against the baseline.

    • Working tools
    • Team training
    • Measured results

  3. Scale

    Ongoing

    Expand what pays. Keep reviewing the return.

    • Support
    • Next opportunities
    • Return reviews

Why Westmarch

Most AI work starts with the tools. Ours starts with where your time and money go.

The usual approachWestmarch Partners
Starts with the technologyStarts with where your time and money go
Promises savingsMeasures them against a baseline
Adds another platform to learnBuilds into the tools you already use
Hands the work to junior staffThe engineer who designs it builds it
Asks for a long commitmentEach phase pays off before the next
Your data on someone else’s platformYour data under your control
Matt Smith, founder of Westmarch Partners
Matt SmithFounder, Westmarch Partners · Chicago

About

Engineering discipline, applied to AI.

I’m an aerospace engineer by training. In aerospace, nothing flies until it’s tested, and every result gets measured. I started Westmarch Partners to bring that same discipline to AI.

  1. You work with me, start to finish.
  2. If AI won’t pay off, I’ll tell you.
  3. Every result is measured in dollars.
Book a call with Matt LinkedIn

FAQ

Common questions.

How is this different from buying an AI tool?

A tool is general. We find the work that costs you the most, build AI into your systems, and measure the result.

We already use some AI tools. Are we covered?

Probably not fully. Most companies use AI for a few tasks, person by person. We find where it fits your actual workflows and build it in for the whole team.

How long does an assessment take?

About two weeks from kickoff. The clock starts once we have your numbers and time on your team’s calendars.

What happens after the assessment?

You get a priced 90-day roadmap. Build it with us, build it yourselves, or wait. The plan is yours either way.

Do we need technical staff?

No. We build it and train your team to use it.

Is our data safe?

It stays under your control. Sensitive work can run entirely on your own hardware.

What does it cost?

It depends on the size of the business. Every phase is quoted up front and sized against the return.

What if AI isn’t a fit for us?

Then we’ll say so. Finding that out early is part of the assessment.

Contact

Find out where AI will pay off in your business.

Pick a time that works for you, or send a note and we’ll reply by email.

Book a 30-minute callwith Matt Smith, founder

On the call, we talk through your business and where AI could pay off. If it’s a fit, we scope your assessment.