What 13 weeks actually looks like.
A structured AI transformation engagement with two tracks, measured outcomes, and a clear deliverable at every stage. Not theory. Not slides. Real work on your real problems.
You're not paying for a curriculum
AI moves faster than any single person can track. New models every quarter. New tools every week. Podcasts, papers, Twitter threads, vendor announcements. The firehose never stops.
That's what you're paying for. Wes consumes all of it and filters it down to what actually matters for your company, your industry, and the specific problem your team is trying to solve this week. Not last month's best practice. Not a generic playbook. The right technique, for the right person, at the right moment.
Think of it as having a strategist who shows up with a giant cookbook and pulls out exactly the recipe you need today. The curriculum isn't fixed because your problems aren't fixed. The structure is. The content adapts to you.
Top-down and bottom-up. At the same time.
Most AI rollouts fail because they only go one direction. Train the staff and hope leadership catches up. Or get leadership excited and hope the team figures it out. ThinkAI runs both tracks simultaneously.
AI Champions Track
6-8 people from across your departments. Weekly sessions, alternating between structured skill-building and open workshops where champions bring their real work. The format is show-and-tell, not lecture. Someone demonstrates what they built this week. The group troubleshoots. Wes introduces a new technique. Everyone leaves with something to try before next week.
Over 13 weeks, champions progress from personal use (meal plans, vacation research, email drafts) to professional workflows (report generation, data extraction, process documentation) to teaching others. By Week 13, each champion presents 2-3 deployed use cases and picks a mentee to start spreading knowledge across the organization.
Leadership Track
Your C-suite and senior leadership. One hour a month. This track is about organizational change management, not AI fluency. Governance decisions. Communication strategy. How to talk about AI to the rest of the company without triggering panic. How to model the behavior that says "we use this too." How to measure whether the investment is working.
Wes also handles the hard conversations here: what happens when a senior director pushes back, when attendance drops, when someone says "this is a waste of time." Those moments are where programs stall. They don't have to.
One-on-ones and open doors
People learn at different speeds. Some of your champions will be writing apps by Week 4. Others will need more time and won't want to show that in front of the group.
During the engagement, every participant gets a link to Wes's calendar to book 30-minute one-on-one sessions. Fast movers use these to push further than the group sessions allow. People who are struggling use them to get private help without the vulnerability of asking in front of peers. Leadership has used them in every engagement so far.
The tracks aren't walls, either. Leadership is always welcome at champion sessions. Some of the best moments in past engagements happened when an executive rolled up their sleeves and dove into the work alongside their team.
The 13-week arc
Discovery
Before anything starts, Wes runs discovery calls with your leadership and key staff. He maps workflows, identifies pain points, profiles personalities, and customizes the program to your industry and tech stack. The program you get is built for you, not pulled off a shelf.
Kickoff Day
One full day, on-site. First hour: everyone together. Timeline, mutual commitments, what to expect. Then leadership breaks out for a two-hour strategy intensive covering the business case, the competitive landscape, and the governance decisions ahead. Champions get five hours of hands-on work: tool setup, prompting fundamentals, verification techniques, and their first real assignments. Everyone leaves with AI working on something real.
Build the habit
Champions start using AI on everything. Personal tasks first to build the muscle memory, then professional work. Wes introduces structured techniques: context engineering, verification methods, how to get consistent outputs. Sessions alternate between teaching and open workshop. The goal by Week 5: every champion is using AI daily without being told to.
Mid-program alignment
Half-day session. Both tracks in the same room. Champions demonstrate what they've built. Leadership sees the progress and the potential. The group reviews use cases, prioritizes what to deploy, and course-corrects where needed. This is where cross-department discoveries happen. In one engagement, risk management and estimating realized they could share workflows and de-risk projects months earlier in the pipeline.
Deploy and scale
Champions move from personal use to organizational impact. Use cases get documented, turned into repeatable processes, and taught to coworkers. Leadership sessions focus on governance maturity, AI usage policies, and planning for what comes after the engagement. Wes introduces advanced techniques as the team is ready: custom AI projects, knowledge libraries, cross-model workflows.
Retrospective
Half-day with both tracks. ROI review with documented efficiency gains. Champions present their top use cases. Success gets documented. Wes delivers the complete knowledge archive and the forward-looking AI adoption roadmap. Each champion selects a mentee. The program is over. Your team keeps going.
Deliverables, not just memories
Every engagement produces tangible deliverables your team keeps forever. This isn't a binder that collects dust. It's an operating system for continued AI adoption.
Use Case Library
Every use case documented with who built it, how it evolved, what it does now, and the measured results. In one engagement, we cataloged 145 use cases across 14 departments.
Searchable Knowledge Archive
Every session summary, decision, action item, and technique taught during the engagement. Delivered as a self-contained, browser-based archive your team can search without internet access. Deploy it on your intranet or SharePoint.
AI Adoption Roadmap
A forward-looking plan with three time horizons: 90-day sprint, 6-month priorities, and 12-month themes. Named owners, critical dependencies, and specific initiatives. Not aspirational. Executable.
AI Usage Policy & Governance
Meeting recording policies, approved tool lists, data handling guidelines, and standard messaging documents. How your company talks to customers, vendors, and employees about AI. Built during the engagement, not handed down from a template.
What this asks of your team
We designed the program to fit inside your team's real workload, not on top of it.
| Champions | Leadership | |
|---|---|---|
| Weekly time | 3-4 hours (1 hr session + practice) | None most weeks |
| Monthly time | — | 1 hour session |
| Kickoff day | 6 hours (one day) | 3 hours (one day) |
| Mid-program | Half day | Half day |
| Final session | Half day | Half day |
| One-on-ones | Book as needed (30 min) | Book as needed (30 min) |
Champions aren't doing homework. They're applying AI to work they already do. The 3-4 hours per week includes the session itself and the time spent using AI on real tasks between sessions. Most champions report it saves more time than it costs within the first few weeks.
Ready to see what 13 weeks can do?
Book a discovery call with Wes. He'll learn your business, your team, and your tech stack before recommending whether a Transformation engagement makes sense.