The AI-First Operating Model for Teams

Aki Wijesundara

AI Advisor | Google AI Accelerator Alum

Manu Jayawardana

AI Founder | Co-Founder & CEO at Krybe

The AI-First Operating Model for Teams

Bolting AI onto old habits gets you nowhere. This day redesigns how your team actually runs. We start with a free discovery call to map your current way of working, then spend four hands-on hours rebuilding it around AI agents: new defaults for how work starts, clearer roles for who owns what between people and agents, and rituals that keep the new model alive. We chart how work moves today, mark the steps an agent should own, and set fresh defaults so work begins with an agent rather than a blank page. Your team leaves running a day-to-day operating model built for agentic workflows, not patched onto the old one.

Because an operating model is only as good as the systems behind it, we show where Claude and the Model Context Protocol (MCP) connect agents to the tools and data your team already uses, and how light prompt engineering and a few rituals stop the model drifting back. You leave with a written operating model the team agreed on together, clear ownership for every recurring kind of work, and a first set of rituals you start running immediately.

What you’ll learn

Your team leaves running a daily operating model rebuilt around AI agents, with new defaults, roles, and rituals that stick.

Map how work really moves through your team today
Spot the steps an agent should own instead of a person
Name the habits quietly slowing the whole team down

Set new defaults so work starts with an agent, not a blank page
Redraw roles so people and agents each own the right part
Build the rituals that keep the new model from drifting back

A written operating model your team agreed on together
Clear ownership for every recurring kind of work
A first set of rituals the team starts running immediately

Workshop agenda

Before the day: Discovery call (1 hour, free)
We learn how your team works now, where the friction sits, and what a better model needs to fix.
Hour 1: Map the current model
We chart how work starts, moves, and finishes today, and mark where agents belong.
Hour 2: New defaults and roles
We set the defaults for how work begins with AI and redraw who owns what between people and agents.
Hour 3: Rituals that hold
We design the recurring rituals that keep the model alive once the energy of the day wears off.
Hour 4: Capstone redesign
Each group rebuilds one real part of how the team runs, then presents the new model to the room.
After the day: Office hour
A follow-up session to adjust the model and unblock the team as it lives in the new way of working.

Learn directly from Aki & Manu

Aki Wijesundara

Contact

AI Advisor | Educator | Google AI Accelerator Alum

Manu Jayawardana

Contact

AI Founder | Co-Founder & CEO at Krybe | Co-Founder of Snapdrum

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Who this workshop is for

Team leads who want AI baked into how the team runs, not bolted onto old habits.
Operators ready to rebuild their daily defaults around agents.
Founders redesigning how a whole team works day to day around AI.

What's included

Live sessions

Learn directly from Aki Wijesundara & Manu Jayawardana in a real-time, interactive format.

Free 1-hour discovery call

We map how your team works now before we redesign the model.

4 hours of hands-on teaching

Live redesign of your real defaults, roles, and rituals around AI agents.

A rebuilt part of your model

Each group rebuilds one real piece of how the team runs and presents it.

Your written operating model

The new defaults, role splits, and rituals captured in one shared document.

Follow-up office hour

We adjust the model and unblock the team as it settles into the new way.

Maven Guarantee

Your purchase is backed by the Maven Guarantee.

Testimonials

Engineers improved the real systems they ship every day, and left with production-ready Claude integrations and a reusable AI playbook.
WireApps
AI-first engineering agency, 50+ engineers. Six-week cohort.
In a single on-site day, Product, Ops, Design and Engineering each shipped a working build on their own real data, using Claude Code and MCP.
Modern Health
Global mental health platform (Lyft, EA, Ancestry). On-site workshop.
A two-day cohort delivered 5x faster listing throughput and 14 production tools shipped on the team's own systems.
MPB
The world's largest used-camera marketplace. Two-day cohort.
Over a five-day cohort the team shipped 8 client-ready automations and lifted operator output 2.5x.
Type B Digital
Strategy consultancy. Five-day cohort.
I sent my team through this training for upskilling, and the results have been remarkable. Within weeks, they became much more efficient at building automations and deploying AI agents at work. This program bridges the gap between theory and practice and it’s had a real impact on our productivity.
Aamir Faaiz
CEO of Bayseian
The AI training approach is outstanding. Our team learned to build practical AI solutions that we could implement immediately in our educational platform. The hands-on methodology made complex AI concepts accessible to our entire development team.
Kavi T.
CEO of Tilli Kids / Stanford PhD