How To Scale A Business With AI & Agentic Workflows - Foundations

Sara Davison

Agentic practitioner, speaker, educator

Tyler Fisk

Agentic Practitioner, speaker, educator

This course is popular

32 people enrolled last week.

Build A Complete AI Agent Team In 4 Weeks:Demo, Sell, Deploy. No Code Required.

‼️ Revamped 2026 Curriculum!
👉Build the Skillset That Will Define the Next Era of Work

You know the shift is happening: AI agents are changing how work gets done & where you are 6 months from now depends on what you learn today.

You're not waiting around, but:

  • Where do I actually start? (sequencing: what's first, what's next)

  • How do agents actually work together? (the orchestration piece no one explains)

  • How do I know it's working? (evidence, not vibes)

  • How do I scale it / hand it off / sell it? (the actual point)

What's missing is a clear, proven path - a step-by-step guide to build AI agent workflows you can demo, deploy, or sell.
From real on-the-ground practitioners.

📈 82% of leaders plan to scale their teams with AI agents
📉 47% say they can't find people who know how (MS 2025)

WEF: work is shifting from execution to orchestration. The biggest demand is agentic workflow design: managing teams of agents.

Tl;dr: almost no one can do this yet.

This is the proven roadmap that's worked for 1,500+ graduates

👉 GRADUATE WITH A COMPLETE AI AGENT TEAM WITH EVERY PROMPT, WORKFLOW, STEP BY STEP INSTRUCTION TO USE BEYOND THE COURSE. PROVEN FRAMEWORKS THAT ADD 6-8 FIG TO A CO'S BOTTOM LINE.

What you’ll learn

Build AI Agents in 4 weeks with proven frameworks that add 6-8+ fig to a business bottom line, no coding required

  • Shift from executing tasks to designing how work gets executed by a team of agents

  • Learn the mental models that apply to any agentic system you'll ever build

  • Understand where agents add value and where humans need to stay in the loop

  • Design the full information environment agents need to succeed

  • Build system instructions that control agent behavior, boundaries, and decision-making

  • Learn the tools and techniques to get consistent, quality, reliable results at scale, every time.

  • Use our agent "Archie" to write product requirement documents and agent specifications that define what to build before you touch a tool

  • Map information flow between agents so nothing gets lost in handoffs

  • Feed the requirements document to an agent builder & have the workflow built for you (without you doing the building!)

  • Connect your agents to the right data so outputs are specific, relevant, and grounded

  • Learn RAG fundamentals: giving agents a "second brain" of business knowledge

  • Know what to include, what to exclude, and how to fill gaps

  • Build specialized agents that work together as a team, not just one super agent.

  • Design router/orchestrator agents: the "boss" that delegates, routes, and decides when work is good enough

  • Structure handoffs so agents collaborate without losing context

  • Move beyond "does it work?" to "I can prove this works at scale" with evidence & documentation

  • Use evaluation data to make targeted improvements that compound over time

  • Build in checkpoints knowing where humans need to stay in control and where to let agents run

Learn directly from Sara & Tyler

Sara Davison

Sara Davison

Co-Founder AI Build Lab

Tyler Fisk

Tyler Fisk

Co-Founder AI Build Lab

Who this course is for

  • Non tech-professionals wanting to become the 1% AI leaders & operators in the workplace

  • Consultants and agencies looking to offer AI consulting and implementation services

  • Entrepreneurs & business owners looking to build businesses as scalable, growth machines

What's included

Live sessions

Learn directly from Sara Davison & Tyler Fisk in a real-time, interactive format.

Lifetime access

Go back to course content and recordings whenever you need to.

Community of peers

Stay accountable and share insights with like-minded professionals.

Certificate of completion

Share your new skills with your employer or on LinkedIn.

Access To One More Cohort Complimentary

This is an accelerated learning experience, so many love the complimentary round to embed their learning

Graduate With An AI Build Lab Prompt Library

Full of the details of your favorite assistants & agents you will be using + a whole bunch of extras

Continue Learning & Collaborating In Slack

We have an incredibly vibrant alumni community who collaborate, share, hire eachother, start businesses ... the vibes continue with your peers!

Maven Guarantee

This course is backed by the Maven Guarantee. Students are eligible for a full refund through the second week of the course.

Course syllabus

16 live sessions • 62 lessons • 4 projects

Week 1

Feb 2—Feb 8

    Understand The Agentic Era & Future Business Growth

    3 items

    Prompt & Context Engineering for AI & Agent Success

    3 items

    Reverse Engineer An Expert Agent

    3 items

    Giving Your Agent Context

    2 items

    Bonus Week 1 Module

    1 item

    Feb

    2

    Optional: Foundations Live Instruction + Q&A Session 1

    Mon 2/24:30 PM—6:00 PM (UTC)
    Optional

    Feb

    6

    Foundations: Office Hours Session 1

    Fri 2/64:30 PM—6:00 PM (UTC)
    Optional

    Feb

    5

    Homework Huddle Thursday (Optional Drop In Clinic For Project Help)

    Thu 2/53:00 PM—4:00 PM (UTC)
    Optional

    Feb

    6

    Homework Huddle Thursday (Optional Drop In Clinic For Project Help)

    Fri 2/612:00 AM—1:00 AM (UTC)

    Step-By-Step Project: Customizing Your Course Expert Assistant

    1 item

Week 2

Feb 9—Feb 15

    Multi-Agent Workflows: Why One Agent Isn't Enough

    3 items

    Design Your Agent Team

    3 items

    Create Your Agent Team Blueprint

    3 items

    Making Your Agents Safe, Reliable & Predictable

    2 items

    Develop an On-Brand Agent

    2 items

    Assemble Your Agents Knowledgebase

    2 items

    Step-By-Step Project: Build The First Agent For Your Workflow

    3 items

    Feb

    9

    Optional: Foundations Live Instruction + Q&A Session 2

    Mon 2/94:30 PM—6:00 PM (UTC)
    Optional

    Feb

    13

    Foundations: Office Hours Session 2

    Fri 2/134:30 PM—6:00 PM (UTC)
    Optional

    Feb

    12

    Homework Huddle Thursday (Optional Drop In Clinic For Project Help)

    Thu 2/123:00 PM—4:00 PM (UTC)
    Optional

    Feb

    13

    Homework Huddle Thursday (Optional Drop In Clinic For Project Help)

    Fri 2/1312:00 AM—1:00 AM (UTC)

Free resource

Build AI Agents That Craft Custom Strategy Plans cover image

Build AI Agents That Craft Custom Strategy Plans

Turn Unstructured Data Into Strategic AI Decisions

Learn how to architect AI agents that turn messy inputs eg call transcripts or team notes into actionable strategy

Define and Deploy Agent Roles for Strategy Workflows

How to assign clear responsibilities across agent like researcher, analyzer, scribe, and strategist, to drive better res

Orchestrate Multiple AI Agents to Collaborate on Strategy

Design a system where specialized agents where specialized agents work together to generate strategic outputs in sync

Design Agent Handoffs That Replicate Human Collaboration

Discover how to chain agents together so insights, data, and tasks move smoothly like a relay team

Schedule

Live sessions

3 hrs / week

Everything is recorded & added to the course hub! In addition to live sessions with Sara + Tyler (Mon & Fri) we have optional homework 'drop in clinics' run by our team.

    • Mon, Feb 2

      4:30 PM—6:00 PM (UTC)

    • Fri, Feb 6

      4:30 PM—6:00 PM (UTC)

    • Thu, Feb 5

      3:00 PM—4:00 PM (UTC)

Projects

1-3 hrs / week

Each week you will have a project that skill stacks week by week to get you building agentic workflows by week 4. Every project includes step-by-step guides.

Async content

3-4 hrs / week

Learn in your own time & get a tonne of support in live sessions and homework huddles.

What It's Like To Work With Us

How This Program Works

Your learning & application pathway

More words from our graduates

Results & Momentum Happen Here

Some experiences you can expect

Some More Wins

Frequently asked questions

$995

USD

·

2 days left to enroll