AI WORKSHOPS

AI is changing how software gets built. Most teams are guessing at what to do about it.

Two hands-on sessions — one for leaders, one for builders — taught by a team that ships production software with these tools every day.

0 hr
Per Session
0
Sessions Available
0–40
Team Size
0–4 wk
Lead Time
THE AI ADOPTION GAP

Sound familiar?

These are the conversations we hear every week from engineering leaders.

01"We bought Copilot licenses six months ago and I still can't tell if it's doing anything."

You're not alone. Most teams turn on Copilot, get some autocomplete, and plateau. The tool is capable of much more — but nobody taught your team the workflows that actually move the needle. We'll show your builders how to go from tab-completion to agentic development in a single session.

The gap isn't the tool — it's the workflow. We show teams how to move from passive autocomplete to spec-driven, agentic development that compounds productivity gains week over week.

02"My best engineer says AI is a toy. My newest hire says it's the future. I don't know who to believe."

Both are partly right. AI tools are legitimately powerful for certain workflows and genuinely overhyped for others. The problem is that most teams haven't had a structured way to figure out which is which. Our leaders session gives you a measurement framework so you can evaluate AI investments with data instead of opinions.

We've seen this dynamic dozens of times. The skeptic has valid concerns about reliability and the enthusiast sees real potential. The leaders session bridges the gap with a framework that respects both perspectives.

03"We need to move faster, but I'm not going to be the one who let AI introduce a security hole."

This is the right instinct — and it's exactly why we built the leaders session the way we did. Speed without guardrails is reckless. But guardrails without speed means you fall behind while competitors ship faster.

We walk through how to build review gates into your AI-assisted workflow: where to insert human checkpoints, how to structure prompts that respect your security boundaries, and what governance policies other engineering orgs have adopted successfully. You'll leave with a concrete plan for getting the speed gains without opening the door to risk.

The goal isn't to slow AI down — it's to make it safe enough that your team can move fast with confidence.

Topics covered: code review gates for AI-generated output, prompt engineering for security-sensitive codebases, governance policies that balance velocity with compliance, and real examples from production engineering teams.

04"We're spending $200K/year on AI tools and I have no way to measure the ROI."

That's because the vendor dashboards measure usage, not impact. Lines of code accepted is not the same as engineering velocity improved. We'll give your leadership team a measurement framework that connects AI tool adoption to the metrics your business actually cares about — cycle time, defect rate, time to first commit, and sprint throughput.

The framework we teach maps AI tool usage to business-level outcomes so you can make informed renewal and expansion decisions with real data.

05"Half the team is using ChatGPT and the other half refuses to touch it. We have no consistency."

Uneven adoption is the default — and it's expensive. Your fast adopters are building muscle memory with tools and workflows that could benefit the whole team, but there's no mechanism to share what's working. Meanwhile, your holdouts have valid concerns that aren't being addressed. Running both sessions closes this gap: leaders get the framework to set policy, builders get the hands-on skills to adopt together.

The bundle is designed specifically for this scenario. Shared vocabulary between leaders and builders means AI adoption decisions stick instead of stalling.

TWO SESSIONS

Choose your session — or run both.

Each session stands alone. Run them together and your whole team leaves speaking the same language.

Making the calls on AI investment?

Session 1: For Leaders

3 hours|$5,000

“The landscape is moving fast, the opinions are loud, and you're the one who has to make the call.”

This session gives you the framework to make AI tooling decisions well.

  • AI measurement framework tied to business metrics
  • Adoption playbook with rollout phases and checkpoints
  • A new role for product in the AI workflow
  • AI-assisted workflows for your own leadership work
Book for Your Leaders
Hands on a keyboard every day?

Session 2: For Builders

3 hours|$5,000

“Whether you've gone deep or you're still on tab-completion, we'll push you forward.”

Open your laptop. Bring your skepticism. Leave with workflows you can use Monday.

  • Agentic development workflows that compound over time
  • Spec-driven workflow from ticket to tested PR
  • Customized tool setup for your stack and editor
  • Real automation connecting AI to your infrastructure
Book for Your Team
THE TYPICAL PATTERN

Leaders and builders speaking different languages

Leaders ask the wrong questions about AI because they don't understand what's possible. Engineers re-explain capabilities every sprint. Product writes specs that don't leverage AI. Everyone is frustrated. Nobody is aligned.

The Cost

Months of misalignment. Wasted tool spend. Adoption stalls because policy and practice were never connected.

THE WORKSHOP EFFECT

Same vocabulary, same week

Run both sessions and your leaders and builders leave with shared vocabulary, aligned expectations, and a concrete plan they built together. Leaders know what to measure. Builders know what's expected. Product knows their new role. $8,500 for both sessions — save $1,500.

What Changes

Immediate ROI visibility. Same-day adoption structure. AI decisions that stick because everyone was in the room.

WHY US

We don't teach theory. We teach what our team ships with.

This isn't a course we recorded last year. It's built from the workflows we use every day on real client projects — the same tools, the same patterns, the same guardrails.

When we say "spec-driven development," we mean a workflow we've refined across dozens of production codebases. When we say "agentic," we mean actual AI agents wired into CI, testing, and deployment pipelines — not a ChatGPT wrapper.

Book a scoping call and we'll tell you honestly whether this workshop is the right move for your team.

WHAT WE NEED FROM YOU

Before the workshop

  • Designate a coordinator — one person to handle scheduling and logistics
  • Share your current AI tool stack — what you use, what you've tried, what you've abandoned

WHAT HAPPENS AFTER YOU BOOK

From call to classroom

  1. Scoping call — 30 minutes to understand your team, tools, and goals
  2. Customized agenda delivered within 48 hours
  3. Pre-workshop survey sent to attendees to tailor content to skill levels
  4. Workshop delivered on-site or remote within 2–4 weeks

Not the right fit

Built for you

NOT THE RIGHT FIT

You want a recorded course you can watch on your own time. You're looking for a vendor pitch on a specific AI platform. You need an assessment before training — check out our AI & Data Readiness Assessment instead. Your team already has established AI workflows and just needs advanced optimization.

PERFECT FIT

AI adoption is uneven across your team and you need a forcing function. You're spending on AI tools but can't measure the return. Your builders are stuck on tab-completion and haven't explored agentic workflows. You need leaders and builders aligned on the same AI strategy.

Let's figure out if this is the right move for your team.

30 minutes. We'll learn where you are with AI adoption and tell you honestly whether this workshop or something else would serve you better.

Book a Scoping Call →Have Questions?