Upcoming Events

TOPIC: Agile, Product, and Software Craft in AI-Enabled Delivery
DATE: September 24^th  

TIME: 6:30 – 8:30 PM PST 

LOCATION: Virtual 

MEETING FORMAT: ZOOM Meeting

ATTENDING PDUs: 2 

AGENDA: 

• 6:30 pm - 6:35 pm Welcome & Board Announcements
• 6:35 pm - 8:00 pm Speaker Presentation 
• 8:00 pm – 8:30 pm Chapter Closing Remarks 

GUEST SPEAKERS: John Halberstadt and Nick Daniel

John Halberstadt is a project, product, and agile delivery leader with more than 25 years of experience helping organizations improve how they plan, deliver, govern, and improve work. His work focuses on agile delivery, lean improvement, portfolio visibility, AI governance, and practical ways to connect strategy to execution. He is currently the PMI Northern Nevada VP of Professional Development.

Nick Daniel is a software engineer and technical product delivery leader focused on improving the connection between product intent, technical context, and implementation. His work spans software craft, AI-enabled development workflows, delivery quality, maintainability, and practical engineering practices.

Together, John and Nick bring complementary perspectives from agile leadership, product delivery, and software engineering. Their joint perspective helps teams improve collaboration, clarify work, shorten feedback loops, and deliver higher-quality outcomes in modern AI-enabled environments.

TOPIC OVERVIEW:

AI-assisted development is changing how teams plan, build, review, and improve software. At the same time, many teams still face a familiar challenge: product intent, agile planning, technical context, and execution often drift apart.

This session explores how agile leadership, product thinking, and software craft can work together more effectively in AI-enabled delivery environments. The focus is practical rather than tool-centered: stronger collaboration, clearer shared context, better work definition, faster feedback loops, and improved delivery quality.

Attendees will learn how agile and lean principles still anchor effective delivery, including clear value, visible work, smaller batches, built-in quality, reduced waste, and kaizen. The session will use practical examples to show how teams can better connect planning artifacts such as acceptance criteria to implementation, testing, and review.

Attendees will leave with a clearer understanding of how to improve collaboration across agile, product, and engineering roles, how to make work more actionable, and how AI-enabled practices can support agility without replacing team judgment.

SPEAKER LINKS AND DESCRIPTIONS:

Nick Daniel

• LinkedIn: https://www.linkedin.com/in/njdaniel/

John Halberstadt

• LinkedIn: https://linkedin.com/in/jhalberstadt
• Mobile: 408-320-7301
• Company: En Dash Consulting
• Company website: https://endash.us