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Beyond Coding: AI in the Rest of the Agile Software Lifecycle
George PaciOct. 26
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Responsible AI: Leading the Shift to AI-Native Organizations
Sanjiv AugustineOct. 26
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Operating Models Revealed
Stephanie GrootOct. 26
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You're solving the wrong problem
Kimberly AndrikaitisOct. 26
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Business Value Estimation
Chris SimsOct. 26
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Responsible AI in Action for Agile Teams
Dr. Kadidra HurstOct. 26
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Lunch
Oct. 26
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So you think this is your last Agile Conference... let's talk
David FogelOct. 26
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The Product Operating Model Walks Into a Sprint
Fadi StephanOct. 26
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Well Intentioned Bottlenecks: Why Work Feels Harder Than It Should
Paul BarrettOct. 26
Manjit Singh is a Certified Scrum Trainer (CST), Enterprise Agile Transformation Coach, and
seasoned Agile consultant with over 24 years of experience driving large-scale Agile and Lean
transformations. Since 2000, he has led Agile adoption and implementation efforts across both
public and private sectors, including Fortune 500 organizations, delivering measurable
outcomes in complex environments. With a unique blend of coaching, mentoring, and
instructional expertise, Manjit is known for cultivating high-performing Agile teams and guiding
them from initial formation to sustained delivery excellence. His approach emphasizes
continuous improvement, outcome-driven delivery, and cross-functional collaboration. He is
equally skilled at launching new Agile initiatives and revitalizing underperforming teams,
transforming them into aligned, purpose-driven units capable of delivering high-value digital
solutions.
Manjit is the founder and President of Agilious, a highly-skilled digital solutions development
and IT modernization company that enables its customers to build the right solutions—faster,
leaner, and with strategic purpose. He is a co-author of "The Lean Playbook: Build A Lean
Organization Yourself," which presents what ‘Lean‘ is and how positively it can impact a
company. The book includes plenty of real life cases to guide readers through their Lean
Transformation.
Generative AI has undeniably accelerated early-stage backlog drafting. By processing transcriptions, user interview notes, and domain docs through LLMs, product teams can rapidly extract initial feature sets—capturing up to ~74% of explicitly stated requirements automatically. Yet, experienced Agile teams know that the remaining ~26% determines whether software succeeds or fails in production.
Large Language Models naturally excel at identifying explicit happy-path behaviors, but they struggle with unstated operational boundaries, implicit domain assumptions, and critical "negative requirements"—defining explicitly what a system must never do. Relying blindly on AI user story generation creates a false sense of velocity, quietly accumulating architectural debt and compliance gaps.
In this practical, field-tested session, we examine how Product Owners and Agilists can evolve from passive prompt engineers into active Specification Architects. Grounded in principles of Spec-Driven Development (SDD), we introduce a concrete blueprint for discovering hidden constraints, establishing negative guardrails, and stress-testing AI-generated backlogs before sprint planning begins. Attendees will leave with actionable strategies to safely harness AI speed without sacrificing technical rigor.