SYSTEMS THINKING FOR AI / WITH RAMONA ORTEGA
ReWire™
Learn how AI works, how to give it useful direction, and how to build a process you can trust. A practical starting point for your next chapter—or your next business system.
For curious people, small-business owners, and teams. Designed for non-technical learners.
01 / WHY THIS MATTERS
A useful AI result starts before you type a prompt. It starts with a clear question, the right context, and a way to decide whether the answer is any good.
Systems thinking helps you see how the pieces connect: information, decisions, people, tools, and feedback. ReWire turns that way of thinking into a practice you can use as the technology changes.
02 / TWO WAYS IN
FOR INDIVIDUALS
Build the confidence to understand AI, ask better questions, and make informed choices about how you use it.
A foundation you can bring to your work, learning, or personal projects.
Find out more ↗FOR SMALL-BUSINESS OWNERS
See how your business actually runs—and where a clearer process could create capacity, improve service, or reveal a new opportunity.
A practical path from an operational pain point to a tested system.
Find out more ↗03 / WHAT YOU TAKE WITH YOU
The curriculum pairs concepts with exercises and reusable templates. You practice on a project that matters to you; the scope of the build depends on your learning path and class format.
Capture the trigger, inputs, decisions, handoffs, and outcome of a real process.
Organize the references, examples, rules, and definitions your AI needs.
Define the problem, boundaries, tools, and standard for a useful result.
Check normal cases, missing information, and exceptions before relying on an output.
Choose what to try, how to measure it, and when to improve or stop.
Understand the building blocks well enough to choose tools and talk with collaborators.
04 / SAMPLE CURRICULUM
This sample follows the six-unit curriculum. Lessons and project depth are adapted for the audience and delivery format; the final class schedule is shared before enrollment.
WHAT IT COVERS
AI capabilities and limits; models versus interfaces; systems mapping; choosing a useful, low-risk starting point.
SAMPLE PRACTICE
Map one recurring task and write a clear opportunity brief.
WHAT IT COVERS
Context, memory, reliable knowledge sources, examples, data quality, and what information should persist.
SAMPLE PRACTICE
Build a context packet with approved sources and examples of good work.
WHAT IT COVERS
Standard operating procedures, reusable skills, triggers, decisions, exceptions, and connections between tools.
SAMPLE PRACTICE
Write an AI-ready procedure for your chosen project.
WHAT IT COVERS
Workflows versus agents; permissions and approvals; useful outputs such as briefs, reports, and dashboards.
SAMPLE PRACTICE
Create a delegation brief defining the goal, tools, boundaries, and output.
WHAT IT COVERS
Human review, privacy, permissions, testing, and the basics of creating interfaces with AI assistance.
SAMPLE PRACTICE
Test a prototype or specification against missing data and an unsafe request.
WHAT IT COVERS
Quality, time, cost, adoption, feedback loops, documentation, and deciding when to expand a pilot.
SAMPLE PRACTICE
Assemble your project portfolio and a measurable pilot plan.
05 / THE REWIRE METHOD
Use these six steps to move from a question to a working approach. Return to them whenever the context, tools, or goal changes.
Choose a meaningful outcome and define the problem.
Map what happens now, including the hidden decisions.
Make context, rules, and “good” explicit.
Connect tools, information, and human approvals.
Test real examples and examine the results.
Reuse what works, with clear ownership and feedback.
06 / SEE IT IN PRACTICE
Imagine a customer asks your small business for a proposal. A useful AI workflow needs more than an instruction to write one: it needs the customer’s details, your services, approved pricing, examples, and a person who reviews before anything is sent.
Illustrative exercise—not a customer result.
INQUIRY ARRIVES
COLLECT DETAILS + CHECK CONTEXT
DRAFT FROM APPROVED SOURCES
HUMAN REVIEWS + APPROVES
FOLLOW UP + LEARN
07 / MEET YOUR INSTRUCTOR
I connect AI, business, and human possibility.
Ramona is the founder and CEO of WealthBuild and the creator of this systems-thinking curriculum. Her experience spans entrepreneurship, law, financial inclusion, and building with AI. She helps people translate technical ideas into practical decisions about how they learn and work.
More about Ramona ↗08 / GOOD QUESTIONS
The foundational learning is designed for non-technical people. More advanced projects introduce AI-assisted building, with testing and human review. Technical depth depends on the class you choose.
No. Individuals can build AI literacy and systems-thinking skills for their work and personal projects. The business path applies that same foundation to operations, customers, and growth opportunities.
The curriculum starts with durable concepts: context, workflows, judgment, and evaluation. Tool examples support those concepts. Required accounts and any separate software costs will be identified before enrollment.
Applied formats can include a prototype or a working-system project. The six-unit online curriculum also supports a portfolio of maps, briefs, templates, and tests. The exact project and level of support depend on the offering.
Request the next-class details below. Pricing, dates, delivery format, access duration, and any prerequisites will be confirmed before you enroll.
Yes. Team discounts are available, and training can be customized around your internal systems, workflows, and Microsoft integration needs. Share your team size, learning goals, and the tools you use so we can shape the right program together.
Contact Ramona about team registration ↗YOUR NEXT CHAPTER
Tell us whether you’re learning for yourself, your business, or your team. We’ll help you find the right class and share the next available details.
Get ready to upskill ↗Explore available classes and enrollment details on Stan. For team training, contact Ramona directly.