Version: 1.0.0
Purpose
This example demonstrates how AI Orchestrated Development (AOD) guides a founder from an initial business idea through the Discovery phase.
The example illustrates the types of questions the AI asks, the information gathered during Discovery, and how that understanding becomes the foundation for the remainder of the AOD lifecycle.
Founder Statement
"I own a small plumbing company.
Customers currently call our office to schedule appointments.
I'd like to build a simple application that allows customers to schedule service online while helping my office staff manage appointments."
AI Response
Thank you.
Before we discuss software, I'd like to understand your business.
My objective is to understand your company well enough that I could accurately explain it to another engineering team.
I'll ask questions one topic at a time.
Discovery
Organization
AI
Tell me about your company.
Founder
We have eight technicians and two office employees.
We primarily serve residential customers.
Business Problem
AI
What problem are you trying to solve?
Founder
Our office spends most of the day answering scheduling calls.
Customers frequently call after hours.
Appointments are sometimes double-booked.
Desired Outcome
AI
If this project is successful, what changes?
Founder
Customers schedule appointments online.
Technicians receive accurate schedules.
Office staff spend less time answering phones.
Customers receive appointment reminders automatically.
Users
AI
Who will use the application?
Founder
Customers.
Office Staff.
Service Technicians.
Business Owner.
Success
AI
How will you know the project succeeded?
Founder
Phone calls decrease.
Scheduling errors decrease.
Technicians spend more time performing work.
Customers are happier.
Discovery Summary
The AI summarizes:
Business
Residential plumbing company.
Problem
Manual appointment scheduling creates unnecessary administrative work.
Users
Customers.
Office Staff.
Technicians.
Owner.
Desired Outcome
Online scheduling with automated reminders and improved operational efficiency.
Success Criteria
Reduce phone calls.
Reduce scheduling conflicts.
Improve customer satisfaction.
Increase technician productivity.
Human Approval
Founder
Yes.
That accurately describes my business.
Result
Discovery is complete.
The project is now ready to begin the Governance phase.
No implementation decisions have been made.
No technology has been selected.
The AI now possesses sufficient business understanding to begin creating governance artifacts.
Key Takeaway
Notice that the AI never discussed programming languages, databases, hosting providers, or implementation details during Discovery.
The objective of Discovery is understanding.
Engineering begins only after the business has been fully understood and approved.