Your Team's First AI Workflows, Built in a Day

Aki Wijesundara

AI Advisor | Google AI Accelerator Alum

Manu Jayawardana

AI Founder | Co-Founder & CEO at Krybe

Your Team's First AI Workflows, Built in a Day

Most teams talk about AI for months and ship nothing. This day fixes that. We open with a free discovery call to find the tasks your team repeats every week, then spend four hands-on hours turning the slowest ones into live, repeatable agentic workflows. We build the first one together as a group, then connect each workflow to the tools and data your team already trusts, using Claude and the Model Context Protocol (MCP) so the automation runs inside your real systems rather than a sandbox. By the time we close, your team is not planning to use AI someday. They are running workflows they built that they can use the very next morning.

You will leave with several working automations, plain steps so a teammate can run each one without you in the room, and a ranked list of the next workflows to build. We also cover the prompt engineering and the simple checks that keep an AI workflow dependable as the work scales, so the wins from the day hold up long after we leave.

What you’ll learn

Your team stops planning and starts running live, repeatable AI workflows it built, ready to use the very next morning.

  • Spot the repeated tasks quietly eating your team's week

  • Tell the workflows worth building from the ones worth leaving

  • Size each one so the first build actually finishes today

  • Turn a manual, repeated task into a workflow that runs

  • Wire it to the tools and data your team already uses

  • Build it so a teammate can run it without you in the room

  • Several live workflows your team built, not slides about them

  • Clear steps to run each one the next morning

  • A ranked list of the next workflows to build after we leave

Workshop agenda

  • Before the day: Discovery call (1 hour, free)

    We meet the team and surface the repeated tasks that cost the most time, so we build on the right ones.

  • Hour 1: Find your first workflows

    We list the work your team repeats and pick the few that will pay off fastest when automated.

  • Hour 2: Build the first one together

    We take one real task and build a working AI workflow for it live, step by step, as a group.

  • Hour 3: Build on your own stack

    We connect workflows to your real tools and data so they run inside the systems your team already trusts.

  • Hour 4: Capstone build

    Each group ships its own working workflow on real team work, then walks the room through it.

  • After the day: Office hour

    A follow-up session to keep the workflows running and unblock the team as it builds more.

Learn directly from Aki & Manu

Aki Wijesundara

Aki Wijesundara

AI Advisor | Educator | Google AI Accelerator Alum

Google
Meta
OpenAI
Amazon Web Services
NVIDIA
Manu Jayawardana

Manu Jayawardana

AI Founder | Co-Founder & CEO at Krybe | Co-Founder of Snapdrum

See all products from TAI

Who this workshop is for

  • Operations teams drowning in repeat tasks they know a workflow could handle.

  • Team leads who want real AI workflows shipped, not another planning deck.

  • Founders who want their team using AI by the next morning, not next quarter.

What's included

Live sessions

Learn directly from Aki Wijesundara & Manu Jayawardana in a real-time, interactive format.

Free 1-hour discovery call

We find your team's most repeated tasks before we decide what to build.

4 hours of hands-on teaching

Live workflow building on your own tools and data, not generic demos.

Several live workflows

Your team ships working, repeatable workflows and runs them before the day ends.

A workflow run guide

Plain steps to run each workflow plus a ranked list of what to build next.

Follow-up office hour

We keep the workflows running and help the team add more after we leave.

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.
    Testimonial author image

    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.
    Testimonial author image

    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.
    Testimonial author image

    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.
    Testimonial author image

    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.

    Testimonial author image

    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.

    Testimonial author image

    Kavi T.

    CEO of Tilli Kids / Stanford PhD

Frequently asked questions

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