AI for Data & Analytics Teams

Aki Wijesundara

AI Advisor | Google AI Accelerator Alum

Manu Jayawardana

AI Founder | Co-Founder & CEO at Krybe

AI for Data & Analytics Teams

In one focused day, your data team goes from fielding every question to letting people talk to the data. We open with a free discovery call to find where requests pile up, then spend four hands-on hours building AI workflows that speed up analysis and let the business self-serve on your own datasets. Your team builds an assistant that answers real questions and returns the query behind every answer rather than a black box, keeping access and definitions consistent across the business. By the end of the day each analyst has shipped a working data workflow on their own real questions and presented it to the room.

The session uses Claude and prompt engineering to draft and explain queries in plain language, then verify them, while speeding up the cleaning, joining, and first pass of analysis your team does by hand. We set the guardrails that make a self-serve, agentic workflow trustworthy, with automation handling routine repeat questions so analysts keep the work that needs real depth. You leave with a data and analytics playbook and a shortlist of the next tasks worth automating.

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.

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.
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Over a five-day cohort the team shipped 8 client-ready automations and lifted operator output 2.5x.
Type B Digital
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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