The AI-First Operating Model for Teams

Aki Wijesundara

AI Advisor | Google AI Accelerator Alum

Manu Jayawardana

AI Founder | Co-Founder & CEO at Krybe

5.3× ROI when the operating model is built for AI

Your team already has Claude access - but they use it like a search engine, not a coworker. It sits in a browser tab bolted onto the old operating model while the real work - the handoffs, the recurring processes, the who-does-what - still runs as it always has. In four hours, that changes.

The math: teams that adopt AI properly run 25.1% faster on AI-suitable tasks - about 2.5 hours back per person, every week - which compounds into a 5.3× annualized ROI (Harvard Business School × BCG; U.S. BLS labor data). Break-even is ~28 minutes saved per person per week.

Proven on real teams. The same shape of session we ran for Modern Health, where Product, Ops, Design and Engineering each shipped a working build on their own data in a single day; MPB, 5× faster listing throughput; and Type B Digital, operator output lifted 2.5×.

One date, your whole team. Bring two people or twenty, no cap on numbers. Nobody experiments alone - everyone walks out on one setup and one shared way of working. Walk out with one operating model - new defaults, clear ownership, rituals that stick.

Exact date and time are confirmed after enrolling. Questions first? Email us or book a call here.

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.

One booking covers your whole team

No need to buy a seat per person. After you book, we schedule the session around your team's timeline, and you can bring as many people as you like, with no cap on team size.

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