Elisabeth Hendrickson

Engineering executive. Systems thinker. Author, Signals & Levers and Explore It!

AI Adoption, Rewired: A Systems Thinking Approach

Joel Tosi

CTO/Technical Coach. Systems Thinker. Author Signals & Levers, Create Your Dojo.

AI’s impact on software delivery varies. Some see 10x gains. Others see a net negative result. We unpack the difference.

Use systems thinking tools to see why AI outcomes vary

Generating more code won’t help if that’s not the bottleneck for delivery. Learn how to spot where AI can help most.

Find the best leverage points for your context

We show you how to find the right interventions in your system to increase the impact AI can have.

Increase AI’s impact by changing your context

Learn how to redesign end-to-end processes so AI strengthens your organization instead of fragmenting it.


Modernizing Business Analysis

Angela Wick

25+ years practicing, shaping, and teaching analysis, product, and requirements.

AI-Enabled Systems & Process Design

Most AI initiatives focus on tools and tasks.Few redesign the process and/or system.When AI is inserted into broken or unclear processes, the result is:<ul><li>More exceptions</li><li>Hidden ownership gaps</li><li>Unclear escalation</li><li>Fragile automation</li><li>Accountability confusion</li><li>Scaling nightmares</li></ul>This means increased cost and unhappy customers!AI changes how systems behave. We must design coherent processes with the end-to-end in mind.That means intentionally aligning:<ul><li>Users and their scenarios</li><li>User experience and workflows</li><li>Business rules and policies</li><li>Data flows</li><li>AI guidance, guardrails, governance, and performance measures</li></ul>Business analysis is the skill set, mindset, and discipline that brings all of these elements together—integrating them into coherent solutions that deliver real business value.

Design AI-Enabled Business Systems That Actually Work

Differentiate embedded AI, automation, and agentic AI in end-to-end processes.

Analyze an end-to-end business process that includes AI components

Clarify ownership and decision accountability

Define, Design, and Build human checkpoints into AI workflows

Facilitate decisions about AI in the organization

Business Analysts, Product Owners, Business Systems Analysts, Systems Analysts, Business Process Analysts, and similar roles.

BA Leaders redefining roles for AI-enabled teams

Business Leaders, Project and Product Professionals pulled into AI initiatives without clear accountability

Pair an executive mindset with your own AI Chief of Staff, and step into the room as a sought-after AI leader.

Aug 2026

CTO @ Limemint.ai | AI Educator

Microsoft

Limemint

Flintolabs

Ayesha Hameed

CPTO & AI Entrepreneur, Educator, and Coach

July  2026

Sep 2026

You're the woman people come to with complex initiatives. You execute flawlessly, out-work everyone, deliver the impossible.And yet, you're watching others get labeled "the strategic AI leader" while you keep shipping.So You double down. More hours. More tools. More execution. Still not the name floated among executives.Reality: The AI era rewards mind over model. The women getting sought after aren't the ones learning more AI tools. They're the ones whose thinking is bigger than their title, using AI to prove it in the room.This program is built on Neuroscaling: a cognitive technique that grows your mindset and your AI capability in the same breath, so your ideas get bigger and your ability to ship them grows with you.Write vision statements that stretch the ceiling. Turn limiting beliefs into decisions. Deploy AI prototypes and agents that show your ideas working before you ever pitch them.4 weeks from now, this is who you are: ✅ I pitch. I steer. I walk in with AI prototypes of my initiatives. ✅ I create enviable impact. The AI team I built gives me an edge no one else has. ✅ I am the leader the AI era seeks.Intro call to learn more - <a target="_blank" rel="noopener noreferrer nofollow" href="https://calendar.app.google/pMFDn3cKHTzvm9rH7">https://calendar.app.google/pMFDn3cKHTzvm9rH7</a>

Stop grinding. Set an audacious vision, and use AI to power it.

Neuroscaling with AI: A high-growth framework

AIDE Framework : Find where AI gives you leverage

Deploy your personal AI Chief of Staff

Show, don't tell . Build instead of propose

Build an autonomous agent that works toward your vision daily

Launch your capstone and unlock the Advisor pathway

You are an accomplished professional ready to turn AI curiosity into real, practical capability.

You’ve already proven you can execute flawlessly, and you are ready for a wider leadership role.

You are excited about the opportunity to become an AI advisor for the next generation.

See your venture clearly, find what is holding it back, and choose the next move—so AI creates leverage instead of more work.

Systems Architect · Founder, Sysdom AI

THE WORLD BANK GROUP

Carnegie Mellon University

Han Kay

Systems Architect · Carnegie Mellon (MISM) · Triple Master's (MBA, MS) · 30+ yrs

Cohort 1

AI gives founders two possible futures. It can multiply company capacity—or multiply the coordination work returning to the founder. If you're building an AI-native or agentic company, adding agents is the easy part. The harder problem is turning their output into leverage without becoming the integration layer for every handoff, decision, and next move. The missing layer is the system the agents operate inside. That is Systems Intelligence.This four-week working lab turns Systems Intelligence into founder practice. Across four focused 90-minute sessions, you will map your venture, identify the active constraint beneath the surrounding noise, commit one bounded next move, and complete a founder-directed operating cycle.Sysdom.ai is the included, supported working environment. It organizes venture context across the Product/Service, Customer, Cash, and Skills Engines, preserves evidence, and records the chosen move. You remain responsible for direction, consequential decisions, and approval boundaries.Leave with a clearer venture state, explicit decision boundaries, one completed cycle, and a repeatable way to increase agent capacity without increasing founder coordination.

AI amplifies everything. Including what’s broken.

See your venture as one system

Build an evidence-backed venture map

Find the constraint behind the noise

Choose one bounded next move

Set founder and agent decision boundaries

Start a guided operating cycle

Bring research, a prototype, operating signals, prior decisions, or a serious plan. No website, revenue, or technical setup required.

Bring one real venture—and some evidence

Founders building a venture who feel complexity outpacing their mental model. You have pieces but no unified operating system.

Founders who hit their first real bottleneck and realized working harder isn't solving the structural problem underneath.

Founders whose AI tools and agents produce more output while every important decision and handoff still routes back through them.

Your team adopted AI. Why hasn’t delivery improved?

Staff Software Engineer

Luis Vieira

Staff engineer

Agentic Engineering 1

<blockquote>AI coding tools make implementation faster. But typing code is only one part of getting software safely from idea to production.Teams still need to turn ambiguous requests into clear plans, understand how changes affect an existing system, verify that they are safe, and make sound decisions about what reaches production.When code becomes cheap to produce, context, judgment, and verification become the limiting factors.This is why faster coding does not automatically mean faster delivery. Improving one part of the workflow has limited impact when the rest of the system continues to create bottlenecks.This workshop gives you a practical method for improving delivery with agents. You’ll learn to find the constraints slowing down your SDLC, design agents that can safely take on bounded work, and improve them over time using proof of work, feedback, and evals.</blockquote>

Learn how to find delivery constraints, design trustworthy agent workflows, and improve them through evidence, feedback, and evals.

Understand the AI coding plateau

Find agent opportunities across the SDLC

Design a trustworthy agent harness

Improve agent workflows over time

Software engineers using AI coding tools looking to improve their team SDLC

Tech leads and engineering managers who want to understand how to increase engineering output using AI

Engineering leaders who adopted AI tools but aren't seeing it in delivery speed or business outcomes and want to understand why and fix it

Agentic AI

Coding with AI

AI Workflows

Claude Code

OpenClaw

Vibe Coding

AI Evals

AI Transformation

RAG & Search

AI for PMs

AI for Engineers

AI for Designers

AI for Marketers

AI for Founders

Product Sense

Product Discovery

User Research

Prototyping

Growth

Analytics

Tech Foundations

Strategy

Influence

Leadership

Career Growth

Machine Learning

LLM Ops

Context Eng

Security

System Design

Figma

Design Systems

Visual Design

Design Strategy

Automation

Content Marketing

Demand Gen

Go-to-Market

Product Marketing

Positioning

Social Media

Brand

B2B Marketing

SEO & AEO

AI for Leaders

AI Governance

Communication

Management

People Operations

Exec Presence

Storytelling

Goal-setting

Personal Brand

Fundraising

Everyone

Operators

Data Scientists

Business Analysts

User Researchers

Customer Success

Project Managers

HR Professionals

Sales People

Lawyers

Finance

Investors

Real Estate

Educators

Creators

Executives and senior leaders who set strategy, lead teams, and drive organizational outcomes.

Engineers and engineering leaders who build, deploy, and scale software systems.

Applying AI tools and techniques to professional workflows — assign alongside more specific AI topics.

Setting strategic direction, making high-stakes decisions, and translating vision into execution.

Leading organizational AI adoption — change management, strategy, and building AI-ready teams.

AI Adoption, Rewired: A Systems Thinking Approach

What you'll learn

Why this topic matters

You'll learn from

Joel Tosi

Elisabeth Hendrickson