Invited Speaker
Dinesh Sharma
Vice President Delivery
Title: AI-Powered Sprint Goals: Restoring Confidence from Hope to Evidence
Session Abstract:
When sprint goals fail 54% of the time, teams lose trust in their commitment process. Across six Scrum teams, chronic planning failures with “scope creep” and “unforeseen complexity” explanations eroded team confidence.
The root cause wasn’t execution – it was refinement built on hope rather than evidence. This interactive talk shares our transformation using AI pattern analysis across 50+ sprints. By analyzing story complexity, historical velocity, and dependency risks, we enabled evidence-based goal setting that restored team confidence and delivery predictability.
Participants will apply the Sprint Goal Compliance Model through live polls, hands-on scoring exercises, and AI demonstrations.
Results: Sprint goal success improved from 46% to 95% over six months, with measurable gains in cross-team coordination and psychological safety.
Target Audience: Scrum Masters, Product Owners, Agile Coaches, Program/Portfolio Managers
About the Speaker
CxO-level Technology and Global Delivery Leader with 28+ years of experience driving engineering, software development, product development, and large-scale software programs across US, Europe, and APAC. Proven track record of transforming complex enterprises into high-performing, outcome-driven organizations. I have built and scaled 500+ member global delivery and engineering organizations, including India-based Global Capability Center (GCC) operations, managed $25M+ P&Ls, and led large-scale transformations at Siemens, SAP, WPP, MPS, and TCS – delivering 300% productivity improvement in four months and 200% business growth over five years.
Experienced in governing multi-year, multi-program global delivery portfolios spanning cloud, digital platforms, and mission-critical enterprise systems with strong delivery margins and client satisfaction. As a member of executive leadership teams, I’ve contributed to board-level discussions on AI adoption, digital transformation, and operating model design, ensuring strong alignment between strategy and execution.
