AI Workflow Examples
How the map-understand-improve-build loop plays out across industries
Healthcare: Patient Onboarding
description Source Document
"Patient onboarding procedure document describing registration, insurance verification, medical history collection, and initial consultation scheduling..."
auto_awesome AI Prompt
dashboard Created Structure
Registration Clerks, Nurses (staff) · New Patients (linked to the job below)
Steps: Collect demographics, Verify identity, Create patient record
Steps: Collect insurance card, Verify coverage, Document benefits
Steps: Distribute forms, Review history, Flag concerns
Patient intake form, EHR system, Insurance portal, Medical history questionnaire
Outcome
Visual flow showing patient touchpoints, required resources at each step, who performs it, and handoff points between departments. Staff can see the complete journey and identify bottlenecks.
Retail: Customer Returns Process
description Source Document
"Returns policy and procedure manual covering in-store returns, online order returns, exchanges, and refund processing..."
auto_awesome AI Prompt
dashboard Created Structure
Solutions Created
Resources Linked
Education: Course Curriculum Design
description Source Document
"Course syllabus with learning objectives, module breakdown, assessment criteria, and student engagement activities..."
auto_awesome AI Prompt
dashboard Created Structure
- Prepare lecture materials
- Deliver content
- Facilitate discussion
- Create assignment
- Collect submissions
- Grade and provide feedback
- Collect student feedback
- Analyze engagement
- Adjust approach
Software: API Integration Guide
description Source Document
"API documentation covering authentication flows, endpoint specifications, rate limiting, error handling, and integration best practices..."
auto_awesome AI Prompt
dashboard Created Structure
Steps: Register application, Generate credentials, Implement OAuth flow
Steps: Configure endpoints, Handle pagination, Implement caching
Steps: Implement retry logic, Handle rate limits, Log errors
Steps: Security review, Performance testing, Monitoring setup
lightbulbNote: Technical documentation works alongside business processes. The same workflow transforms API docs into integration guides that developers can follow step-by-step.
Manufacturing: Quality Control Process
description Source Document
"Quality control procedure document covering inspection stages, defect classification, corrective actions, and compliance certification requirements..."
auto_awesome AI Prompt
dashboard Created Structure
Inspection Solutions
Resources Linked
From TO-BE Flow to Working Prototype
schema Source: a TO-BE Solution on the Blueprint
A designed TO-BE solution for "Order food for delivery" — four steps, each with its screens and systems staged in the Frontstage and Backstage lanes, tagged to-be.
auto_awesome AI Prompt
Outcome
Because the flow is precisely described — ordered steps, staged screens, the job statement as the goal — the assistant has a real specification to build from. Minutes later you have a clickable prototype to put in front of users, or the scaffold of the actual solution. The blueprint doubles as the spec.
Effective Prompt Patterns
Patterns that cover the whole loop — mapping, understanding, improving, and building.
auto_awesome Structure Analysis
Best for: Converting existing documentation into the AS-IS model
person Interview Discovery
Best for: Understanding user needs from interviews or feedback
account_tree Process Decomposition
Best for: Detailed step-by-step workflow mapping
link Resource Mapping
Best for: Identifying supporting materials and systems
find_in_page Gap Analysis
Best for: Process improvement and documentation completeness
trending_up TO-BE Design
Best for: Designing improvements against the same job
construction Prototype Generation
Best for: Turning a well-described flow into something clickable