Build Your Company's AI Adoption Roadmap

Aki Wijesundara

AI Advisor | Google AI Accelerator Alum

Manu Jayawardana

AI Founder | Co-Founder & CEO at Krybe

Turn Stalled AI Experiments Into 5.3× ROI You Can Sequence

Your company already has AI experiments running - but as disconnected pilots that stall before they scale. No one can say which workflow to automate first, who owns it, or in what order. In four hours, on your own workflows, 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. Your leadership walks out with one sequenced adoption roadmap the whole org can run.

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

What you’ll learn

Your team leaves with a concrete, sequenced AI adoption roadmap, owners and dates included.

Map the workflows where AI would save the most time
Score each one on value, effort, and readiness together
Cut the distractions so you start with what matters

Order the work into a first, second, and third wave
Give each phase an owner, a date, and a clear goal
Set checkpoints so you know when to move to the next wave

Agree on the sequence as one team, not in silos
Spot the blockers early and plan around them
Leave with a roadmap you can share with the whole company

Workshop agenda

Before the day: Discovery call (1 hour, free)
We map your workflows, tools, and team, and find where AI adoption has stalled so far.
Hour 1: Map the opportunities
We list the workflows where AI would help most and weigh each on value, effort, and readiness.
Hour 2: Pick the first wave
We choose what to start with, with reasons your team agrees on, and define what success looks like.
Hour 3: Sequence the phases
We order the rest into clear waves, each with an owner, a date, and a measurable goal.
Hour 4: Plan around the blockers
We surface the risks and dependencies, build them into the plan, and lock the first commitments.
After the day: Office hour
A follow-up session to adjust the roadmap as the first wave gets underway.

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

Founders who want one clear adoption plan instead of scattered pilots that go nowhere.
Operations leads who need to know which workflows to automate first and why.
Transformation owners who want a sequenced roadmap the whole company can follow.

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 your workflows and find where adoption has stalled before the day begins.

4 hours of hands-on planning

Your team builds the roadmap live, coached by us, not handed a template.

A sequenced adoption roadmap

Phases with owners, dates, and goals, written by your team during the day.

A prioritisation scorecard

The simple framework you used to rank opportunities, so you can reuse it later.

Follow-up office hour

We adjust the roadmap as the first wave gets underway.

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