Artificial Intelligence
Manoj Nagpal on Incremental Modernization, Enterprise AI, and Leadership in a World of Constant Change
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Overview
He reflects on his evolution from hardware engineering to executive leadership and shares how enterprises can modernize legacy systems without disruption. Manoj outlines a practical AI readiness framework focused on data integration, business outcome clarity, and governance architecture.
Key Insights from the Conversation
• Incremental Modernization Wins
Legacy systems should evolve through phased integration rather than sudden replacement.
• AI Requires Data Discipline
Clean, integrated data is foundational for accurate AI outcomes.
• Governance Is Not Optional
Security, compliance, and human oversight are central to enterprise AI adoption.
• Integrated Services Drive Outcomes
Organizations must shift from project delivery to measurable, outcome-based value.
• Listening Is A Leadership Superpower
Empathy and active listening build trust and sustainable transformation cultures.
Who Should Watch
• CIOs, CTOs, and IT leaders
• Enterprise transformation leaders
• AI adoption decision-makers
• Professional services executives
About the Guest
Manoj Nagpal is the Managing Director of OpenText India and Vice President of Professional Services, with over 30 years in enterprise technology. He leads global transformation initiatives focused on secure information management, AI readiness, and outcome-driven modernization.
Thu, Feb 12, 2026
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