Build the Same Report for Every Audience

Topic: Build the Same Report for Every Audience
Cost: Free and open to all
Place: Web Conference Webex

• Meeting link: https://asq.webex.com/asq/j.php?MTID=mb2d8cceee5117a1d5b8604c2b8f4b213
• Meeting number: 2554 999 6399
• Password: h9kKj6Mt6ZA

Register Here or at Boulder Section public link
When: 19 Nov 2026 (Thursday) at 5:45 pm to 7:15 pm US-MT meeting
5:45 pm Web Conference Start: Networking, Welcome and Section Business
6:00 pm Presentation

• Speaker: Barry Price, LinkedIn profile
• Topic: Build the Same Report for Every Audience: A Trustworthy AI Briefing Workflow
• Presentation Slides and Video posted after meeting
• Abstract:
• Quality leaders spend hours rewriting the same findings for different

audiences - a cost, break-even, and time-to-market story for the C-suite, and a clear, encouraging performance story for the floor.

• This session shows a real, working AI workflow that does the heavy lifting while the expert stays firmly in control.
• Barry generates one set of common briefing data, defines an explicit persona for each audience, and produces audience-specific briefings from the same source demonstrated live with his actual executive-brief and dev-team-brief agents.
• He walks the full five-step loop
• Generate common data,
• Define each persona,
• Generate each briefing,
• Review and update the persona,
• Regenerate, and send the approved version
• He frames the whole thing with the "AI Adoption is Trust Building" model: Check Everything, Challenge & Correct, Delegate with Confidence.
• Attendees leave with a repeatable method they can apply to their own recurring reports, and a clear-eyed view of how to keep accuracy and tone owned by a human.
• The demo uses Barry's real, working briefing agents
• the same executive-brief and dev-team-brief agents he runs as part of his daily AI agent suite
• with sample or already-public data so nothing confidential appears on screen.
• Who this is for and why it lands
• Quality professionals and managers who produce recurring reports and

briefings for multiple stakeholder levels - executive summaries upward, performance updates to the floor.

• It speaks directly to a daily pain (rewriting the same content in different languages) and treats trust and verification as first-class, which is exactly how a quality audience evaluates any new method.
• What attendees will take away
• A repeatable five-step workflow for producing one report in several audience-specific versions.
• How to capture an audience as an explicit, reusable persona the AI writes to.
• The "AI Adoption is Trust Building" model applied to real reporting:
• Check Everything
• Challenge & Correct
• Delegate with Confidence.
• A human-in-the-loop review loop that keeps accuracy, tone, and judgment owned by the expert.
• How briefings fit as one folder inside a larger AI Operating System for the whole organization
• Speaker Bio:
  - Barry Price, AI Success Integrator, coordinates suites of governed AI agents that run real business processes with human oversight at every decision point.
• As founder of BPriceless.AI and a member of the Humans Plus Agents collective - which has trained more than 10,000 leaders from over 1,000 companies
• He helps teams turn scattered AI pilots into dependable, continuously improving execution:
• Software development and QA testing, Customer-issue triage, and decision-ready briefings for every level,
• Each measured against a baseline and reviewed by a person before anything reaches a customer.
• His AI adoption model is deliberately simple
• Check Everything, Challenge & Correct, Delegate with Confidence
• Built on the idea that trust is earned through verification.
• Based in Denver, Colorado. LinkedIn profile https://www.linkedin.com/in/bpriceless
• References, Support Information:
• LinkedIn Post: "AI Adoption is Trust Building" model,
• LinkedIn Post: Your team has Copilot. Marketing's running ChatGPT on the side. Someone in finance built a Claude Cowork
• LinkedIn Post: AI pilots are everywhere. AI Business Operating Systems are not.
• LinkedIn Post: Turn AI from ad-hoc assistance into governed business-function execution

7:00 pm After Presentation Networking
7:15 pm Web Conference End: meeting over

Meeting also posted on MyASQ Boulder Community Event