It all started with a glass of Gin and the Dallas airport…

One day, Catalyst Integrator Nicole Mennicke called me from the Dallas airport while waiting for her flight home from a Quarterly Planning session with a client. Will sipping on a Gin cocktail she felt a wave of inspiration come over her and had to share. She called me and said “So hear me out…what if we took all of my amazing team health tools and put them on a deck of cards to share with leaders?” and I said “Let’s do it!” and we began the process of creating a super powerful deck of cards that has most recently evolved into a series of workshops led by Nicole herself.

At Catalyst Integrators, we know that a company is only as strong as its team. That’s why we launched our Team Health Workshop Series, a customized session designed to help leaders build trust, improve communication, and strengthen alignment using practical, easy-to-implement tools. Some are curated from our favorites and some are Nicole Mennicke originals!

One of the most exciting parts of this initiative has been where it all started with our Seasons of Team Health card deck, a tool designed to spark meaningful conversations and uncover opportunities for growth. Curated by our very own Nicole with collaborative and design input from me, this deck is a hands-on way for teams to assess their strengths, identify challenges, and take actionable steps toward higher performance.

When it came to bringing this deck to life, we partnered with Shuffled Ink, and they did an amazing job printing them! The quality and feel of the cards make them a joy to use, and we couldn't be happier with how they turned out.

Our Team Health Workshops are built around these tools, giving leaders a structured space to learn, apply, and integrate strategies that elevate their teams. Whether you’re looking to improve clarity, accountability, or engagement, this series is designed to help you and your team thrive.

We’re just getting started, and we can’t wait to see the impact this will have on the teams we work with. If you’re interested in learning more or hosting a workshop, reach out, we’d love to help your team get stronger!

By Jamie Munoz featuring Lani Koontz

Based on the AI Momentum Protocols methodology, developed by Rachel Woods

EOS has always included this foundational belief: if no one owns it, it does not get done.

That principle applies to sales. It applies to operations. It applies to finance. And right now, it applies to AI.

AI Is Happening. But Nobody Owns It.

Right now, most EOS companies have AI activity scattered across every department.

Marketing is testing prompts. Sales is automating outreach. Operations is experimenting with workflows.

Nobody is tracking what is working, what is being duplicated, or what is creating risk.

The result is predictable:

Fragmented tools
Inconsistent outputs
Duplicated effort
No standards or governance
No measurable ownership

In EOS language, the issue is simple: there is no accountable owner. And when something operationally critical lacks ownership, friction follows.

Your Accountability Chart has an empty seat. The AI Momentum Protocols methodology, developed by Rachel Woods, names it: the AI Operator.

What the AI Operator Is Accountable For

The AI Operator is not the AI enthusiast on your team. This role owns how AI functions operationally inside the business. That accountability includes:

Building and maintaining the company’s AI playbook library
Standardizing AI workflows and usage across departments
Training the team and driving adoption
Evaluating tools and integrations
Governing usage standards and protecting company data
Tracking efficiency gains and reporting measurable ROI into the Scorecard at every L10

This is not experimentation. It is operational ownership.

One important distinction: AI literacy is not a seat. Every person on the team needs baseline skills for working with AI, the same way everyone needs to know how to use a spreadsheet. That is a foundation. The AI Operator owns the system those skills run on.

“Every company we work with has people using AI. That's not the differentiator anymore. The differentiator is whether someone owns it. One person driving the system, documented playbooks, and a team that actually runs on them. That's what separates using AI from operating with AI.” Rachel Woods, Founder, AI Momentum Protocols

Where This Seat Lives on the Accountability Chart

Like every EOS seat, the AI Operator evolves as the company grows.

Stage 1: Fractional AI Operator

Most companies are not ready for a full-time AI Operator on day one. That is normal.

The EOS ecosystem has already solved this pattern. Companies bring in Fractional Integrators and Fractional CFOs before the volume justifies a permanent hire. A Fractional AI Operator works the same way.

At this stage, the AI Operator sits at the director level, the same standing as Directors of Sales, Operations, and Finance, and reports directly to the Integrator. That reporting line is intentional. The Integrator already owns execution and removes obstacles across the business. Giving the AI Operator a direct line to that seat keeps AI work connected to operational priorities, not floating as a side project.

The Visionary’s role here is focused: approve the investment and ask whether AI work is pointed at the right business problems.

The AI Operator builds the playbook library, establishes governance, trains the team, and hands a functioning AI operating system to an internal owner when the company is ready. The capability comes before the full-time seat. Every time.

Stage 2: Dedicated AI Operator Seat

For larger organizations or companies treating AI as a strategic differentiator across every function, the AI Operator becomes a full peer seat with the same standing as every other department lead.

At this stage, AI is no longer an initiative. It is infrastructure.

Why EOS Companies Are Built for This

EOS businesses already practice what most companies struggle to install: accountability, documented processes, and execution cadence. That foundation is exactly what makes AI adoption stick.

Without structure, AI creates fragmentation. With accountability, AI creates compounding operational leverage.

The Accountability Chart has always evolved alongside business complexity. Companies once operated without dedicated HR, Finance, or Customer Success seats. Today those seats are essential. AI ownership is entering that same category.

Not because AI replaces people. But because someone has to own how people and AI work together operationally.

The companies that fill this seat now will not just run better. They will set the standard for what the next era of operational excellence looks like.