SERVICES
AI Integration
Add horsepower to your processes — and your revenue
Most companies
60%
see minimal revenue or cost gains from AI
The ones that get it right
1.7×
the revenue growth
The difference isn’t the technology. It’s the approach.
BCG, The Widening AI Value Gap, 2025
Where AI actually pays

Every hour your team spends there is an hour it isn’t spending on selling or delivering the work you get paid for. That is the real cost, and it grows every week the work stays manual.
Growth without adding headcount. When the routine work runs on its own, the same team can take on more.
Why most AI projects fall short
#1
cause of AI project failure: no one is clear on what problem the AI is meant to solve.
RAND, The Root Causes of Failure for AI Projects, 2024
Smaller firms do the same thing: buy the tool first, look for a use later.
The hidden cost: duplicated data. Every new tool keeps its own copy of your records, the copies drift, and the team stops trusting the answers.
AI integration solves a problem
Name the problem first. Then AI does the work: it finds, sorts, drafts and checks, so your team doesn’t have to.
At Goldson Construction, every bid opportunity had to be found and evaluated by hand. The objective: stop finding bid opportunities by hand, and pursue the best ones with minimal effort.

Attach a number before you start

Every objective gets a number and a review date before anything is built.
Hours saved
Faster responses
More qualified leads
You’ll know in weeks what’s working, and if something isn’t, you find out early and cheaply.

What I do
01
Opportunity mapping
I find where your team’s hours and revenue leak, and give you a clear list of where AI pays.
02
Workflow and agent design
I design the system around the problem, with one version of every record so nothing drifts.
03
Tool selection
Matched to your budget, your team and the risk you want to carry.
04
A measured pilot
One objective, one number, one review date. What works gets scaled.
What this looks like
Goldson Construction. I co-architected The Goldson Intelligence Engine, which reads bid alerts and their documents, then files and tracks every real opportunity.
Great Careers Network. I automated and refined the Grant Writing process, significantly reducing manual hours by 91%.
The training behind it. MIT Professional Education: Applied Agentic AI for Organizational Transformation (April 2026) and No-Code AI and Machine Learning (July 2024).
Watch: an MIT machine learning case study. Presented at Collab at The Lab, Miami.
Find your lane forward.
Tell me where the work is slow. I’ll show you what AI can take off your team’s plate.
START A CONVERSATION