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
EST. 2026 · MILWAUKEE, WI · 47.2°N
Production AI for Midwest architecture and real estate firms.
Custom systems, shipped in 14 days. Built once, maintained, and yours.

§ 01 · The problem
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

§ 02 · Services
LL-001
Three-day audit of your firm's workflows. We map where AI moves the needle and where it doesn't.
LL-002
A two-week, written plan: which systems to build, in what order, with cost and ROI for each.
LL-003
Fourteen days, one production system, shipped to your team and running on your data.
LL-004
Ongoing tuning, monitoring, and small-feature work for systems already in production.
LL-005
Embedded as your firm's strategic AI advisor. Strategy, hiring, vendor calls, the lot.


§ 03 · Live demo
audit.laphamlabs.com
Open in new tab ↗Takes about a minute. We’re really reading your site.
§ 04 · Case study · 2025
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.”
§ 05 · How it works
We talk about your firm, your workflows, and the two or three places AI could pay for itself this quarter. No deck. No pitch.
Three days later you get a written audit. What to build, what to skip, and what it would cost. Credited toward any Sprint.
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

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
Former Manager of Data Science & AI Engineering, Collins Aerospace
§ 07 · FAQ
Thirty minutes. No deck. No pitch. Just a real conversation about what you’d ship if you had the team.