MULTI-CHAPTER | Practical AI Governance for Delivery Teams: Helping AI Adoption Succeed Without Losing Control
MULTI-CHAPTER | Practical AI Governance for Delivery Teams: Helping AI Adoption Succeed Without Losing Control
TOPIC
Participants will learn how delivery leaders can support responsible AI adoption without turning governance into bureaucracy. Participants will learn how to identify when AI use can help delivery teams and when it can introduce unnecessary risk. Participants will learn how to apply practical governance through business alignment, data and tool discipline, and lightweight guardrails. Participants will learn how to recognize common failure patterns when AI enters project and agile delivery work. Participants will learn how to introduce clearer boundaries, review expectations, and accountability for AI-supported work. Participants will learn how governance connects to effective leadership in project, agile, and cross-functional team environments.
LEARNING TAKEAWAYS
- How delivery leaders can encourage responsible AI adoption without creating unnecessary bureaucracy.
- How to identify situations where AI can improve delivery outcomes and where it may introduce risk.
- How to implement practical governance through business alignment, disciplined data and tool management, and lightweight guardrails.
- How to recognize common pitfalls and failure patterns when AI is introduced into project and agile delivery environments.
- How to establish clear boundaries, review processes, and accountability for AI-assisted work.
- How effective AI governance strengthens leadership across project, agile, and cross-functional teams.
SPEAKER
John Halberstadt
Head of Consulting Operations at En Dash
John Halberstadt is Head of Consulting Operations at En Dash and a strategic product, technology, and AI leader with a background spanning executive leadership and enterprise consulting. Work centers on helping organizations modernize how they build and deliver digital products by aligning product strategy, engineering execution, and business outcomes. At En Dash, John leads consulting strategy and delivery across engagements focused on product operating models, AI-enabled platforms, and enterprise transformation. Efforts include guiding organizations in adopting enterprise agility, modernizing engineering practices, and integrating AI into both customer-facing products and internal operating models. Prior experience includes serving as CIO/CTO for a Property & Casualty insurer, leading enterprise technology strategy, platform modernization, and cloud transformation. Additional leadership includes heading product, UX, and customer experience for AI and NLP platforms at Next IT, delivering conversational AI solutions across multiple industries. Across consulting and executive roles, John has advised leadership teams on portfolio governance, product strategy, and large-scale transformation, with a focus on connecting strategic intent to execution and measurable outcomes. Work spans financial services, technology platforms, and mission-driven organizations. John is also a published author on consulting, artificial intelligence, and governance, with writing focused on practical approaches to modern consulting, responsible AI adoption, and building organizations that can effectively operate in complex, technology-driven environments.
Cancellation Policy
While all efforts will be made to avoid doing so, the Chapter reserves the right to cancel any event. If an event is canceled or postponed by the Chapter, notification will be provided.
Event Properties
| Event Date | 07-16-2026 6:00 PM - 7:00 PM |
| Available place | 16 |
| Individual Price | $10.00 |
| No. of Business Acumen PDUs | 1 |
| Location | Virtual |
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