Measure AI ROI Your CFO Will Believe

Aki Wijesundara

AI Advisor | Google AI Accelerator Alum

Manu Jayawardana

AI Founder | Co-Founder & CEO at Krybe

Prove AI ROI Your CFO Will Actually Believe — In Four Hours

Your team is already using AI - but you can't prove it's paying off. Your board and CFO want defensible numbers, and "it feels faster" won't survive budget season. In four hours, on your own data, 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. You walk out with one live ROI model in language your CFO will actually trust.

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 measurement framework and a live model that ties AI use to money your CFO will trust.

Pick metrics that map to revenue, cost, or time saved
Set a clean baseline so you can prove the change is real
Avoid the vanity numbers a CFO will see straight through

Tie hours saved to a cost your finance team recognises
Account for the full cost of AI, not just the licence fee
Build a simple model you can update each quarter

Turn the model into a clear before-and-after story
Show payback and return in language finance already uses
Leave with a framework you can rerun for every new AI project

Workshop agenda

Before the day: Discovery call (1 hour, free)
We learn your AI investments, the tools in use, and how your finance team decides what counts as value.
Hour 1: Set the baseline
We establish what the work cost before AI, so every gain you claim is measured against something real.
Hour 2: Choose honest metrics
We pick the few measures that map to money and drop the vanity numbers finance will not trust.
Hour 3: Build the ROI model
We build a simple model on your own numbers that ties AI use to cost saved and value created.
Hour 4: Make the finance case
We turn the model into a clear payback story in the language your CFO already uses, and pressure test it.
After the day: Office hour
A follow-up session to refine the model and metrics as real data comes in.

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

Finance leaders who want proof of AI value they can defend, not optimistic estimates.
Founders who need to justify AI spend to a board or investors with real numbers.
Operations heads running AI projects that need a credible ROI story to keep their budget.

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 your AI investments and how finance judges value before the day begins.

4 hours of hands-on measurement work

Your team builds the model live on your own numbers, coached by us, not handed a template.

A live ROI model

A simple model on your real data that ties AI use to cost saved and value created.

A measurement framework

The metrics and method you can rerun for every new AI project, finance approved.

Follow-up office hour

We refine the model and metrics as real data comes in.

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