AI tools everywhere.
AI strategy nowhere.
ThinkAI is a structured transformation program that closes the gap between "we're using AI" and "AI is changing how we work." Your team walks away with coordinated workflows, measured results, and the skills to keep going without us.
Everyone's using AI. Almost nobody's scaling it.
88% of companies say they're using AI. Only 7% have scaled it past individual experimentation.1
The gap isn't tools. Your team already has accounts. Someone made a logo. Someone summarized a meeting. The CEO read an article and asked "what are we doing about AI?"
Here's the thing: most companies treat AI like paint. They brush it onto existing processes. It looks better. You get small wins. But the real gains come when you understand the tools well enough to throw a process out and rebuild it from scratch.
That doesn't happen with a lunch-and-learn. AI adoption is a people problem dressed up as a technology problem. Your people need to know what to use, when, how to verify what it produces, and who owns making it stick. That takes structure, ownership, and organizational change management.
1. McKinsey, "The State of AI in 2025," November 2025
Structure for a people problem
ThinkAI is a 13-week engagement that builds AI capability across your organization. Not a workshop. Not a slide deck. A structured program with two tracks, measured outcomes, and a clear end state: your team runs this without us.
AI Champions
We select 6-8 people across your departments. Not the most senior, the most open. People who aren't afraid of a little chaos. We turn them into your AI power users through weekly sessions built around their real work.
AI is a musical instrument, not a hammer. You don't pick it up and play a concerto on day one. Champions build that skill over 13 weeks, starting with personal use, progressing to professional workflows, and finishing by teaching others.
Leadership Track
Separate sessions for your executives. One hour a month. This isn't AI training. It's organizational change management: governance decisions, unified messaging so you don't scare your people into thinking they're losing their jobs, and making it safe to experiment.
The strategic choices only leadership can make. How to communicate what you're doing. How to model the behavior. How to measure whether it's working.
Skills That Travel With You
We're tool-agnostic. ChatGPT, Claude, Gemini. Under the hood, they're all large language models built on the same architecture. The skills your team learns work across all of them, and they'll still work when the next model drops six months from now.
Every deliverable we produce, your team keeps: a documented use case library, a searchable knowledge archive, and an AI adoption roadmap with named owners and timelines. We're not here to hold you hostage. We'd love to keep working together, but we earn that by being valuable, not by being necessary.
13 weeks. Two tracks. Measured results.
Discovery
We learn your business before we teach anything. Discovery calls with leadership and key staff. Workflow analysis. Current AI usage assessment. Program customization based on what we find, not a template.
Kickoff Day
One full day, three sessions. The whole group spends the first hour together: timeline, commitments, what to expect. Then leadership breaks out for a two-hour strategy intensive. AI Champions get five hours of hands-on work: tool setup, methodology, first assignments. Everyone leaves with something working.
Build & Deploy
Bi-weekly AI Champions coaching. Monthly leadership reviews. Office hours between sessions for quick questions. Champions bring real work, demonstrate what they've built, troubleshoot live, and learn from each other. A mid-program alignment session brings both tracks together for course correction.
Measure & Plan
ROI review with documented efficiency gains. Success documentation. Expansion roadmap for independent continuation. Everything handed off in a searchable archive your team keeps forever.
What changes look like
We've delivered transformation engagements for midmarket companies across construction, financial services, and field operations. Here's what the numbers looked like.
145
Use cases documented in a single engagement
6 hrs → 2 min
QA plan generation after Champions deployment
2x
Development velocity over six months
50%
Faster compliance response drafting
“The goal is to make us better at what we do and spend less time doing dumb stuff. Use our brains for the things that make a difference. Catch the soccer games and the piano recitals.”
The part nobody talks about
Most AI programs fail for the same reason most technology rollouts fail: they focus on the tool and ignore the humans.
Your most experienced people are skeptical. They've seen "the next big thing" before. Your junior staff are excited but unsupervised. Your leadership wants results but hasn't decided what success looks like or who owns it. There's fear, uncertainty, and doubt. If you don't address it directly, it wins.
ThinkAI addresses this head-on. The Champions model works because it doesn't ask everyone to change at once. It starts with the willing, builds proof internally, and lets results do the convincing. We've watched a risk manager go from "deer in headlights" to being called a "superhero" by her VP. We've seen departments that never talked to each other start collaborating after a champion in risk management realized she could de-risk projects earlier by sharing workflows with the estimating team.
AI is a force multiplier. The better someone is at their job, the bigger the multiplication. Marc Andreessen put it well: "AI is going to take people who are good at doing things and make them very good. And it's going to take people who are great at doing things and make them spectacularly great." That's why we start with your best people, not your most junior. Your senior estimator with 30 years of knowledge becomes the person whose expertise scales across the entire organization.
Led personally by Wes Boggs
Wes Boggs is the Chief AI Officer at Think Technologies Group and the person in every ThinkAI session. Not a sales team that hands you off to junior consultants. Not recorded videos. Wes runs discovery, leads the intensives, coaches the champions, and presents the results to your CEO. This is all he does. He's 100% focused on AI transformation and out of the rest of the business.
His degree is in organizational psychology, which turns out to be more useful for AI adoption than any technology certification. The tools are the easy part. Getting a skeptical VP to model the behavior, getting a 30-year veteran to encode his expertise into systems the next generation can use, getting a room full of people to trust something they don't understand yet. That's the work. And Wes has been doing that work across technology for 20+ years.
He takes 3-4 engagements at a time. Every one is customized to your industry, your tech stack, and where your team is starting from.
After the transformation
The 13-week program is designed to make you independent. Most teams hit the ground running. But AI moves fast, and some organizations want a direct line to how it's evolving in their industry.
AI Advisory Services gives you sustained expert guidance after your transformation: monthly champion sessions, leadership reviews, a curated intelligence feed filtered for your industry, and scheduled advisory calls when your team needs a sounding board.
Built for organizations that have completed a Transformation engagement and want to keep the momentum.
Explore ThinkAI
Transformation Program
A structured 13-week engagement that builds AI capability across your organization. Two tracks, measured outcomes, real work.
Advisory Services
Sustained guidance after your transformation. Monthly sessions, advisory calls, and a curated intelligence feed for your industry.
Workflow & Automation
We map your manual processes, build the automation, and manage it going forward. When something breaks, that's our problem.
Ready to stop experimenting?
Book a discovery call with Wes. No pitch deck. No pressure. Just a conversation about where your team is with AI and whether a structured program makes sense.