Workshop

How to Avoid the Quality Control Approval Trap When Using AI

Sue Lhymn, Ph.D.

Enterprise HRIS & Quality Leader

Laura Harris, Ph.D.

Data Quality & AI Risk Specialist

Use AI to catch what QC requirements, reports, and updates are hiding.

Most project documents look complete. Requirements feel thorough. Status reports read confidently. Updates sound reassuring, but the gaps that cause delivery failures rarely announce themselves. They hide inside vague acceptance criteria, missing edge cases, and assumptions no one questioned at sign-off. This workshop focuses on that critical window between receiving a document and approving it. Instead of relying on instinct or a quick read-through, you will learn how to use AI as a structured verification partner; one that surfaces what's missing, flags what's ambiguous, and confirms what actually needs to be true before the work begins. If you have ever approved something that later turned into a costly rework, a missed dependency, or a scope dispute, this session will give you a repeatable system to prevent it. You will leave with an AI-powered verification framework you can apply to requirements, status reports, and project updates starting the same day.

What you’ll learn

A practical system to verify project documentation before it gets signed off

  • Cross-check specs against what a complete document should cover, catching silent gaps a manual read skims past

  • Force vague language into explicit, testable statements before a developer builds the wrong thing

  • Check documents against budget, timeline, and compliance constraints

  • Flag requirements with no clear decision behind them, often where scope creep and misalignment hide

  • Spot vague completion percentages, missing risks, and inconsistent terms that signal a status needs scrutiny

  • Turn the review into a documented judgment you can defend

Workshop agenda

  • 9:00 Welcome and Introductions

    Get to know your instructor and fellow PMs, BAs, and Product Owners

  • 9:15 Why Approvals Fail

    Understand the structural reasons documents pass review with hidden gaps, and where AI changes the equation

  • 9:45 Break

    Take a moment to connect with your instructor and classmates

  • 9:50 Build Your Verification Prompts

    Hands-on: craft AI prompts that interrogate requirements, surface assumptions, and flag missing acceptance criteria in real documents

  • 10:20 Break

    Take a moment to connect with your instructor and classmates

  • 10:30 Apply It to Status Reports and Updates

    Extend the framework to progress reports and change requests; the documents most likely to obscure delivery risk

  • 11:30 Your Personal Verification Checklist

    Leave with a tailored, reusable checklist and prompt library matched to your project context

  • 1:1 Consulting

    After the workshop, participants receive a free 1-hour consulting session to discuss their own project context, review specific challenges, and identify practical next steps for applying verification

  • Closing

    Connect with your instructor and classmates before you go

Learn directly from Sue & Laura

Sue Lhymn, Ph.D.

Sue Lhymn, Ph.D.

Contact

HRIS Manager with 25+ years in systems, data, and analytics

Erie Insurance
National University
Laura Harris, Ph.D.

Laura Harris, Ph.D.

Contact

CEO of an AI-driven, IP-generating, quality-focused company

Pfizer
Emergent
University of Phoenix
Davenportu
National University
See all products from Harris Analytics Institute

Who this workshop is for

  • PMs, BAs, and Product Owners who are the last line of defense before a document moves to execution and want to be confident in that role

  • Stakeholders who approve project documents regularly but lack a structured method for knowing what to look for

  • Delivery leads who have experienced late-stage surprises caused by gaps that were present at sign-off but never caught.

What's included

Live sessions

Learn directly from Sue Lhymn, Ph.D. & Laura Harris, Ph.D. in a real-time, interactive format.

Hands-on verification practice

Work through real document examples with AI tools at each step; leave with prompts you can use immediately

Verification prompt library

A ready-to-use collection of AI prompts for requirements, status reports, and change requests

Lifetime access

Return to recordings and materials whenever you need a refresher

Community of peers

Stay connected with a cohort of practitioners facing the same approval challenges

Certificate of completion

Share your new capability with your employer or on LinkedIn

Maven Guarantee

Your purchase is backed by the Maven Guarantee.

Free resource

Don’t Be Fooled: Drive Business Outcomes with ISO Standards cover image

Don’t Be Fooled: Drive Business Outcomes with ISO Standards

Apply ISO quality principles in practical, everyday work.

Be more efficient in working with stakeholders through customer focus, process and risk-based thinking.

Turn quality objectives into clear, actionable processes.

Reduce ambiguity by defining requirements and expectations clearly.

Build repeatable, ISO-aligned quality practices that scale.

Continuously improve by managing requirements, processes, and controls consistently.

Testimonials

  • Your focus on customer orientation, continuous improvement, process thinking, and risk-based thinking is especially relevant right now, particularly for people working in AI and other fast-moving technical spaces where strong outcomes depend on strong systems.

    As someone working at the intersection of data, AI, and organizational performance, I found this talk to be a valuable reminder that quality is not just about end results; it is about the strength of the processes that produce them.

    Testimonial author image

    Dylan Collier

    Medical Operations Planner - US Navy

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