AI Governance Without Slowing Down

Aki Wijesundara

AI Advisor | Google AI Accelerator Alum

Manu Jayawardana

AI Founder | Co-Founder & CEO at Krybe

Protect the 5.3× ROI: Controls Teams Will Actually Follow

Your teams are already using AI - but with no policy, so risk leaders either clamp down and kill velocity or look away and hope. Every request becomes a one-off judgment call. In four hours, on your own risk profile, 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 leaders walk out with one AI policy and a fast-lane approval path teams actually follow.

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 guardrails people will actually follow, that keep AI safe without killing velocity.

Decide what is allowed by default so most work needs no approval
Set a fast lane for low risk uses and a check for high risk ones
Write rules short and clear enough that people actually follow them

Protect sensitive data without banning the tools people need
Spot where AI output must be checked by a human before it ships
Plan for the failure cases before they become incidents

Agree the rules as a team so there is no quiet workaround culture
Name who approves what, and how quickly they respond
Leave with a one-page policy your board and staff can both read

Workshop agenda

Before the day: Discovery call (1 hour, free)
We learn how your team already uses AI, what data is in play, and where the real risks sit.
Hour 1: Risk where it actually lives
We separate the uses that are safe by default from the few that genuinely need a check.
Hour 2: Build the fast lane
We define what people can do without asking, so most AI work keeps moving at full speed.
Hour 3: Write the guardrails
We draft the rules for data, tools, and approvals, kept short enough that people will read them.
Hour 4: Approval paths and edge cases
We set who approves the high risk uses, how fast, and stress the policy against your real work.
After the day: Office hour
A follow-up session to refine the policy as your team puts it into daily practice.

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 AI used responsibly without killing the speed that makes the team work.
Risk and compliance leads who need real controls people will actually follow.
Operations heads tired of choosing between a blanket ban and an open free-for-all.

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 learn how your team uses AI and where the real risks sit before the day begins.

4 hours of hands-on policy work

Your team writes the guardrails live, coached by us, not handed a template.

A one-page AI policy

Clear rules for data, tools, and approvals, short enough that people will read them.

An approval path that moves fast

A defined fast lane plus a check for high risk uses, agreed by your team.

Follow-up office hour

We refine the policy as your team puts it into daily practice.

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