Happy AI

AI coaching for senior talent

Happy AI shows your team members exactly where AI fits into their day and gives them a personal system they'll actually use. Small groups. Real role-base activities. Built around your tools.

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Do the work you're best at, let AI handle the rest.

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The Gap

The numbers are not subtle.

Most people have never been shown how. The ones who have? They're better at their jobs and they know it.

0%

of employees have received AI training.

Randstad

😬 Only 1 in 8 employees has ever received AI training.

0%

of those who have say it makes them better at their job.

BCG, AI at Work 2025

We want more of this

0×

Workers who use AI regularly feel twice as secure in their roles as those who do not.

PwC, 2025 Global Workforce Hopes & Fears Survey

We're tracking this one closely in 2026 & 2027

Happy AI addresses head-on the training gap between technology and people.

The Path

The path to confidence is closer than you think.

Your AI tools are already turned on. We help your team turn them into daily confidence.

01

The tools are ready and waiting

Your company has already invested in the right tools. Copilot, Claude, ChatGPT, Gemini, the agents your IT team just rolled out. The access is there, and so is the opportunity.

02

Your people needed a guide, not a login

IT flipped the switch and moved on. Your team was handed something powerful without the guidance to make it click. That's not a people problem, it's a missing step. One that's easy to fix.

📍 You're here
03

We show them how, with their real work

We sit with your people and show them, using their real work, exactly where AI fits into their day. They leave knowing which parts of their job AI should be doing for them, and feeling genuinely excited to get started.

Dianne at her desk

The Reframe

Your people matter more than the AI.

Your experience is the input AI never had.

You spent years building judgment and taste on this job. Most of your week doesn't need that. It needs things typed, scheduled, summarized, chased down. AI can do that part.

Right now, your most experienced people spend too much of their week on it.

AI✦
Email
Document
Calendar
Reports
Tasks
Spreadsheet
Marty thinking at his desk

How it Works

Coaching, not a slide deck and a wave goodbye.

We are not here to impress you with how much we know about AI. We are here to make your week lighter.

Empowered professional
01

Real work, not exercises

You bring the task you actually owe your boss next week. You leave with it closer to done.

02

We sit beside you and build it together.

With your real work right in front of us. You do the reps. We're right there, and you'll feel it clicking.

03

Capped at ten.

Small enough that we know what everyone is working on by the end of day one, and every voice gets heard.

04

Built around your world

Your tools, your data rules, your actual job. Not a generic demo that ignores how you really work.

05

You leave with a thirty-day plan, named tasks, and real deadlines.

The momentum doesn't stop when the session ends. That's the whole point.

How We Deliver

A clear path from day one to lasting impact.

Training that lands, coaching that sticks, and reporting that proves the value over time.

DAY 1

Onsite training

Full day, in person

DAY 15

Follow-up coaching

Real work, checked in

ONGOING

Value capture reporting

Impact, tracked and shared

Three progressive coaching packages

Foundations

Individual productivity

Outcomes

  • Connect AI to everyday tasks
  • Edit and troubleshoot AI prompts with confidence
  • Build reusable templates
Start here

Intermediate

Personal workflows

Outcomes

  • Design multi-step workflows
  • Build a personal agent profile
  • Decide what to delegate to AI
Recommended ~4 months after Foundations

Advanced

Team-wide adoption

Outcomes

  • Design agent profiles for others
  • Build a shared team agent library
  • Plan an AI rollout across a team
Recommended ~6 months after Intermediate

Topics Covered

What your team will learn.

Explore the topics covered in each coaching package, from individual productivity to team-wide adoption.

Introduction to Happy AI

  • Discover where AI fits into the workday
  • Learn the Happy AI approach and terminology
  • Set personal goals for the session

Productivity Workflow

  • Understand the three-step AI workflow
  • Recognize high-value use cases by role
  • Get started with the first prompt

Setup and Personalization

  • Connect AI tools to daily work
  • Configure a personal agent profile
  • Save and reuse effective prompts

Writing and Communication

  • Draft and refine emails and messages
  • Summarize long documents and threads
  • Adjust tone and length for the audience

Organizing and Prioritizing

  • Organize tasks and action items with AI
  • Build simple checklists and status updates
  • Use AI to prepare for meetings

Practical Application

  • Apply AI to a real work scenario
  • Build a personal use-case library
  • Troubleshoot common sticking points

Sustaining Momentum

  • Plan the two-week enablement window
  • Share wins with the team
  • Identify next steps and support resources

Meet the Team

Meet the coaches

Two different backgrounds, one shared focus: making AI work for your people.

Jim

Jim

Co-Founder

Engineering, Delivery & Executive Operating Leadership

Jim brings a rare mix: deep technical fluency and real comfort in the room with executives. He's written automation code on the floor of a clean-energy manufacturing startup, built enterprise data governance for McDonald's, and served as Chief of Staff to a Fortune 500 CIO. That range means he's just as much at home troubleshooting with your team as he is briefing your leadership.

What sets Jim apart is how he shows up: he meets people exactly where they are, builds trust fast, and has a track record of solving the problems everyone else walked past. He doesn't just bring expertise to the table, he brings the patience and curiosity to make that expertise actually land.

Charlie

Charlie

Co-Founder

Data & AI Strategy, Adoption & Enablement

Charlie has spent his career solving the problem most AI programs trip over: getting people to actually trust and use what's been built. He leads end-to-end data and AI initiatives for all sizes of clients, building the foundation that gets teams genuinely on board, not just technology that works in a demo. That means governance, data quality, and ways of working that hold up once real people are relying on them every day.

What Charlie brings to the table is a simple conviction: most projects don't fail because of the technology, they fail because nobody built the foundation underneath it, the trust, the clarity, the buy-in. He focuses on strategy and roadmaps grounded in real business outcomes, and on the unglamorous, essential work that makes AI adoption stick long after the pilot ends.

Contact Us

Let's make your team's week lighter.

Tell us a little about your team and we will set up a short conversation. No pitch deck, no pressure. Just a real talk about what would actually help.

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