EST. 2026 · MILWAUKEE, WI · 47.2°N

Lapham Labs

Production AI for Midwest architecture and real estate firms.

Custom systems, shipped in 14 days. Built once, maintained, and yours.

Watercolor and ink illustration of City Hall over the Milwaukee River
FIG. 00 · MILWAUKEE RIVER · CITY HALL
Lapham Labs · Milwaukee

§ 01 · The problem

Most enterprise AI is theatre.

We build the part that ships.

95%

of enterprise GenAI pilots produce no measurable contribution to revenue or margin.

MIT NANDA · State of AI in Business · 2025

80.3%

of enterprise AI projects fail to deliver business value. Twice the failure rate of conventional software.

RAND Corporation · confirmed by Gartner · Apr 2026

39%

of companies now have AI in production at scale, up from under 5% two years ago. The gap is execution, not models.

MIT Sloan Management Review · 2026

Watercolor and ink illustration of the Milwaukee skyline from the lakefront
FIG. 01 · Milwaukee skyline · Lakefront

§ 02 · Services

Five ways to deploy.

LL-001

Teardown

Three-day audit of your firm's workflows. We map where AI moves the needle and where it doesn't.

  • ·Delivered in 3 days
  • ·Written report + 60-min walkthrough
  • ·Credited toward any Sprint

LL-002

Roadmap

A two-week, written plan: which systems to build, in what order, with cost and ROI for each.

  • ·10 prioritized initiatives
  • ·Build/buy/wait recommendation
  • ·Vendor shortlist where relevant

LL-003

Build Sprint

Popular

Fourteen days, one production system, shipped to your team and running on your data.

  • ·14-day delivery
  • ·Production-ready, not a demo
  • ·30 days of post-launch tuning

LL-004

Operations

Ongoing tuning, monitoring, and small-feature work for systems already in production.

  • ·Same-day Slack response
  • ·Monthly written report
  • ·Bring-in for new builds at retainer rate

LL-005

Strategic AI Advisor

Embedded as your firm's strategic AI advisor. Strategy, hiring, vendor calls, the lot.

  • ·One to two days per week
  • ·Quarterly board updates
  • ·Direct line to engineering
Watercolor and ink illustration of the Milwaukee lakefront at night, with the Calatrava reflected in the water
FIG. 02 · Lakefront · Late light
Watercolor and ink illustration of the historic Third Ward warehouse district
FIG. 03 · Historic Third Ward · Daytime

§ 03 · Live demo

Show me your website. I’ll show you the AI you should be building.

audit.laphamlabs.com

Open in new tab ↗

Takes about a minute. We’re really reading your site.

§ 04 · Case study · 2025

Milwaukee architecture firm, multi-hour zoning lookups cut to 20 minutes.

Problem ·A 100-person Milwaukee architecture firm works across most of the municipalities in southeastern Wisconsin. Every early-stage project starts with the same task: pulling zoning, setback, and overlay-district rules out of a different city’s code. Done by hand, that’s a multi-hour stretch of careful reading before anyone can sketch.

Build ·I shipped a retrieval system over every municipal code the firm regularly works in, with an AI layer that finds the relevant sections and summarizes what they actually require. Every answer cites the exact code section it drew from, so the architect can verify in one click.

Outcome ·Multi-hour lookups now take around twenty to thirty minutes. The tool is in active use across the firm and has held up unchanged since handoff.

“I was in a rush the other day and used Win’s tool. What would have taken me an hour and a half took twenty-seven minutes. I timed it.”
Principal · Milwaukee architecture firm · 2026

§ 05 · How it works

Three steps. No surprises.

  1. 01

    30-min discovery call

    We talk about your firm, your workflows, and the two or three places AI could pay for itself this quarter. No deck. No pitch.

  2. 02

    Teardown

    Three days later you get a written audit. What to build, what to skip, and what it would cost. Credited toward any Sprint.

  3. 03

    Sprint or retainer

    If it makes sense, we move into a 14-day Build Sprint or a fractional engagement. If it doesn't, we don't.

§ 06 · Who builds this

Charles Winder Williams.

Charles Winder Williams

President, AI Forge at Marquette. Marquette AIM Fintech program. Builds production AI systems for Midwest architecture, engineering, and real estate firms.

Lapham Labs is a one-person, full-stack practice. I do the discovery, the design, the engineering, and the hand-off. When a build needs more capacity, I bring in vetted engineers from AI Forge, the AI engineering organization I lead at Marquette, and call on my advisor Hunter Sandidge for senior expertise. Every line of code still ships through me.

Advisor

Hunter Sandidge

Hunter Sandidge

Former Manager of Data Science & AI Engineering, Collins Aerospace

§ 07 · FAQ

Questions you probably have.

If any of this matches the kind of firm you run, let’s talk.

Thirty minutes. No deck. No pitch. Just a real conversation about what you’d ship if you had the team.