AI Governance Without Slowing Down

Aki Wijesundara

AI Advisor | Google AI Accelerator Alum

Manu Jayawardana

AI Founder | Co-Founder & CEO at Krybe

AI Governance Without Slowing Down

In one focused day, your team builds the AI governance guardrails that keep work safe without grinding it to a halt. We open with a free discovery call to understand how your people already use AI and where the real risks sit. Then we spend four working hours writing a lightweight AI policy, a clear approval path, and simple risk controls your team can live with. You leave with guardrails people will follow, not a thick document that gets quietly ignored while the real work routes around it.

The session is built around velocity, not friction. We 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, and pin down where AI output must be reviewed by a human before it ships. We cover how to protect sensitive data without banning the tools people need, where Claude and automation fit safely, and how prompt engineering habits reduce risk at the source. You leave with a one-page policy your board and staff can both read, written by your own team during the day.

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.

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.

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