AI for Data & Analytics Teams

Aki Wijesundara

AI Advisor | Google AI Accelerator Alum

Manu Jayawardana

AI Founder | Co-Founder & CEO at Krybe

5.3× ROI: faster insights without losing accuracy

Your data team already has Claude access - but they're using it like a search engine, not a coworker. It sits in a browser tab while the real work, the repetitive ad-hoc requests, the manual analysis, the metric definitions re-explained again, still happens by hand. In four hours, on your team's own real datasets, 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. Ship a self-serve data assistant the whole business can use.

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

What you’ll learn

Your team lets the business talk to its data and self-serve, freeing analysts for the work that needs real depth.

Build an assistant that answers questions on your own datasets
Return answers with the query behind them, not a black box
Keep access and definitions consistent across the business

Draft and explain queries in plain language, then verify them
Speed up cleaning, joining, and the first pass of analysis
Turn findings into clear summaries the business can act on

Hand routine, repeat questions to a self-serve workflow
Free your analysts for the work that needs real depth
A shortlist of the next data tasks worth automating

Workshop agenda

Before the day: Discovery call (1 hour, free)
We meet your team, look at your datasets and busiest requests, and tailor the day to your stack and questions.
Hour 1: Where AI helps with data
The mental model for AI in analytics, where it speeds you up, and where an analyst still has to check the work.
Hour 2: Talk to your data
We build a workflow that answers real business questions on your own dataset, with the query exposed, live.
Hour 3: Faster analysis, safe self-serve
Speed up the analysis you do by hand and set the guardrails that make self-serve trustworthy.
Hour 4: Capstone build
Each analyst ships a working data workflow on their own real questions, then presents it to the room.
After the day: Office hour
A follow-up session to unblock the team as they put the new workflows into daily use.

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

Data leads who want the business self-serving instead of queuing for every answer.
Analysts buried in repeat, one-off requests an agent could handle.
Heads of data who want faster insight without losing trust in the numbers.

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 tailor the day to your datasets, stack, and busiest requests before we begin.

4 hours of hands-on building

Live work on your own data and real questions, not generic demos.

A working data assistant

Your team ships a workflow that answers real business questions by end of day.

A data and analytics AI playbook

The prompts, workflows, and guardrails to keep going after we leave.

Follow-up office hour

We unblock the team as they roll the workflows into daily use.

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