How we work
A three-phase engagement designed to build lasting AI adoption — not just awareness.
Every engagement is scoped against the Cascade Adoption Model — our framework for where teams actually stand and what it takes to reach the next stage.
Phase 01 — AI Readiness Assessment
Where does your team actually stand?
Before building anything, we need to understand where your team is today. We spend two to three weeks conducting structured interviews with engineers, team leads, and managers — mapping how AI tools are currently being used, where they aren't, and why. The output is a clear, prioritized picture of your team's AI readiness: the workflows with the highest adoption potential, the blockers that are holding people back, and a recommended starting point for the coaching phase.
What you get:
- Structured interviews with 5–10 team members
- AI workflow usage map across your team
- Prioritized list of 3–5 high-impact workflows to target
- Written readiness report with recommended next steps
Delivered as a flat-fee sprint. Typically 2–3 weeks.
Phase 02 — Workflow Coaching
Building habits, not just handing over docs
This is where the real work happens. We run weekly coaching sessions with your team — working through real tasks, building AI-assisted workflows from the ground up, and refining them until they actually stick. Every workflow we build together gets documented in plain language so it can be shared across the team. Knowledge doesn't stay with one person — it becomes a team asset.
What you get:
- Weekly coaching sessions with engineers and team leads
- Documented AI workflow library your team owns
- Adoption check-ins to track what’s taking hold
- Ongoing recommendations as tools and capabilities evolve
Ongoing engagement. Approximately 8–10 hours per month.
Phase 03 — Adoption Reporting
Proof that it's spreading
Every two weeks, your managers receive a simple, clear report showing how AI adoption is moving across the team. Not vanity metrics — real signals. Who is using which workflows, what's working, where the next coaching focus should be, and how the picture has changed since last time. Leadership gets the visibility they need to make decisions. Teams get accountability without surveillance.
What you get:
- Bi-weekly adoption report
- Team-level and individual usage signals
- Coaching focus recommendations for the next period
- Quarterly trend summary for executive reporting
Included in the ongoing engagement. Available as a standalone for teams already in progress.
Beyond the core engagement
Standalone services for teams at the start, middle, or end of their AI adoption journey.
Standalone — Vendor Selection
Copilot, Cursor, or Claude Code? Let's find out — with your codebase.
Most teams pick an AI coding tool based on a demo and a hunch. We run a structured, vendor-neutral evaluation using your actual repositories and your engineers — measuring where each tool helps, where it gets in the way, and what it will really cost at your seat count. No reseller commissions, no vendor relationships. You get a recommendation you can defend.
What you get:
- Structured trial plan across 2–3 candidate tools, run with your engineers on real work
- Side-by-side evaluation scorecard (capability, workflow fit, security posture, cost)
- Total-cost and licensing analysis at your team size
- Written recommendation with rollout considerations
Flat-fee sprint. Typically 2–3 weeks. Pairs naturally with the AI Readiness Assessment.
Add-on — Executive Reporting
The board wants ROI numbers. We'll make that the easy part.
Your engineers adopting AI is one job. Explaining the spend to your CEO or board is another — and it's usually the one that gets dreaded. Each quarter we turn your team's adoption data into a one-page, board-ready brief: what the tools cost, what changed, and what's next. Real signals, stated plainly, in language a board understands.
What you get:
- Quarterly one-page AI ROI brief, board-ready
- Spend vs. adoption vs. outcome summary
- Talking points for the CTO’s board or exec presentation
- Forward-looking recommendation for the next quarter’s investment
Quarterly deliverable. Available as an add-on to any engagement, or standalone.
Standalone — Train the Trainer
Adoption sticks when it's yours, not ours.
Team-wide adoption lives or dies on two or three internal champions — the people who answer questions in Slack after we're gone. We identify them, coach them on teaching (not just using) AI workflows, and hand them the playbook. It's how an engagement ends without the progress ending with it.
What you get:
- Champion identification during coaching (typically 2–3 engineers)
- Dedicated train-the-trainer sessions on coaching and documentation
- Internal enablement playbook your champions own
- 90-day post-engagement check-in
Typically the final 4–6 weeks of a coaching engagement. Also available standalone for teams with adoption already underway.
Get started
Ready to close the adoption gap?
Book a free 30-minute discovery call. We'll ask about your team, how AI tools are being used today, and where the gaps are.