AI-Augmented Process Discovery & Analysis
$895.00
This course helps you structure what others say, summarize it into something useful, and prepare confidently for every next step — from mapping to modeling to improvement.
| Course Date | Standard Rate | Buy Before | Your Rate | Savings |
|---|---|---|---|---|
| Nov 18 '25 | $895.00 | Oct 19 | $795.00 | -$100.00 |
Use AI to clarify, structure, and extract meaning from messy inputs. Discover what’s really happening — and what to do next.
This course teaches you how to use AI to bring structure to the most chaotic part of process work: discovery.
Whether you’re prepping for interviews, organizing stakeholder input, mapping out current-state workflows, or trying to make sense of documents, meeting notes, or transcripts — you’ll learn how to use AI tools to extract steps, roles, decisions, and requirements with greater speed and clarity.
You’ll also learn how to simulate stakeholder interviews using AI, spot common pain points across inputs, and assess data quality — all without jumping into a diagramming tool or starting from a blank screen.
This course helps you structure what others say, summarize it into something useful, and prepare confidently for every next step — from mapping to modeling to improvement.
Skills You’ll Learn
- How to simulate interviews using AI
- How to extract process steps, actors, and decisions from transcripts or documents
- Prompting to uncover missing steps, pain points, or variations
- Drafting current-state flows from messy input
- Summarizing voice-of-customer insights
- Evaluating source quality and consistency
- Writing actionable stakeholder summaries or kickoff docs
- Rewriting for audience tone and clarity
- Prepping stakeholder questions based on data patterns
Tools You’ll Use
- ChatGPT (Free or Plus)
- Claude.ai
- Microsoft CoPilot (optional)
- Draw.io, Miro, Lucidchart (optional for visualization)
Included Handouts
- Prompt library for process discovery and interviews
- Stakeholder summary starter kit
- Requirements extraction reference sheet
- Before/after examples: messy input → structured output
- Interview simulation prompts
- AI decision tree: when to use vs. organize manually
You’ll Walk Away Able To:
- Clarify disorganized inputs
- Structure stakeholder conversations
- Simulate discovery sessions
- Extract requirements and pain points
- Build high-quality current-state snapshots
- Move from notes to structure with less friction
- Cut your discovery prep time in half using prompt-driven guidance
- Turn transcripts, emails, or rough notes into actionable structure
- Generate workflow outlines from raw stakeholder input
- Draft current-state visuals using AI with automated diagramming
- Extract steps, decisions, pain points, and potential issues from what you hear
- Build clarity even when your inputs are inconsistent or incomplete
- Save hours summarizing and formatting documentation manually
- Feel prepared walking into any discovery session or post-call write-up
Perfect for:
- Analysts, process leads, and transformation teams conducting interviews or workshops
- Anyone responsible for “making sense” of raw input and turning it into flows, visuals, or summaries
- Project managers preparing for as-is assessments, discovery calls, or onboarding workshops
- Professionals with stakeholder-facing roles who support or document change initiatives
If you’ve ever left a meeting and wondered, “How do I organize all of that?” — this course is for you.
I. Discovery Work and the Role of AI
- Understand the value of structured discovery
- Common discovery pain points AI can help address
- Role of AI in interviews, prep, post-call wrap-up
II. Prompting for Clarity
- Extracting steps, actors, and inputs from raw text
- Identifying implied decisions and edge cases
- Organizing input for process mapping
- Cleaning up rough notes into structured sequences
III. Simulated Interviewing with AI
- Using AI to rehearse stakeholder conversations
- Creating test inputs for use case modeling
- Anticipating missing information
- Building prompt frameworks for recurring prep
IV. Extracting Requirements and Voice-of-Customer
- Spotting themes and patterns across input sets
- Tagging friction points, delays, and pain statements
- Generating early-stage requirements from rough data
- Turning vague feedback into actionable outputs
V. Preparing and Reframing Deliverables
- Writing stakeholder-ready summaries
- Rewriting input for executive vs. team consumption
- Comparing competing versions of the same process
- Recommending discovery questions and next steps
The AI for Process Specialist Certificate equips practitioners to apply generative AI across the process lifecycle — accelerating discovery, analysis, communication, and decision support. Designed for non-technical professionals, this program delivers hands-on training in practical, everyday AI use for process work.
