AI Operating Models for Enterprise Leaders episode artwork

EPISODE · Feb 14, 2026 · 48 MIN

AI Operating Models for Enterprise Leaders

from Consulting Spotlight · host Andrea Schnepf, Michael Bernzweig

Andrea Schnepf, founder of NEPF, joins host Michael Bernzweig to break down why most enterprise AI pilots fail and what the successful 5 percent do differently. She explains how tech-first, reactive decisions waste budget, stall adoption, and erode trust, then lays out three pillars for making AI a real business capability: clear purpose, leadership alignment, and a robust operating model. Andrea also shares examples from companies like Microsoft and Intuit, and walks through a practical three-phase roadmap—foundation, pilot-and-learn, and scale-and-embed—so executives can link AI to strategy, governance, and day-to-day work instead of scattered tools.Key Topics:Why 95% of AI pilots fail — common pitfalls and misstepsThe three critical pillars for AI success: Purpose, Leadership Alignment, Operating ModelHow to design a scalable AI operating system within your organizationThe importance of connecting AI strategy to business outcomesCase studies: Microsoft’s shared vision approach and Intuit’s cross-functional AI councilsRoadmap for AI adoption: foundation, pilot, scale & embedManaging organizational culture and avoiding technology-first trapsHow to create authentic topic-Gap analyses to fill content voids with AITimestamps:00:00 - Introduction: Why most AI pilots fail and how to avoid common mistakes02:30 - Andrea’s framework for building AI foundation centered on purpose and vision06:45 - Signs that organizations are approaching AI as a tech first, disconnected from strategy10:15 - The role of leadership alignment in AI success — shared narrative and trust-building14:00 - Critical components of an effective AI operating model — decision rights, governance, metrics19:30 - Examples of structured AI cultures at Microsoft and Justworks24:10 - Practical roadmap: from foundation to pilot, to scaling and embedding AI28:50 - Managing organizational change, culture, and talent in AI transformation34:20 - How to identify topic gaps using AI models to enhance content authority40:50 - Capacity-based pricing: managing demand and scarcity in consulting and tech services45:00 - Final thoughts: actionable steps to embed AI into your business DNA Ready to action this strategy?Connect with this expert now for a complimentary strategy consult or exclusive offer.https://summit.softwareoasis.com/activate-offers/(Claim Your Offer / Schedule Consultation)Apply to Present at our Live Events as an experthttps://experts.softwareoasis.com/expert-introductionsGet Your Networking Passhttps://experts.softwareoasis.com/executive-networking-passClaim your complimentary event pass and attend live:https://bootcamps.softwareoasis.com/https://summit.softwareoasis.com/ Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Episode metadata supplied by the publisher feed · Published Feb 14, 2026

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Andrea Schnepf, founder of NEPF, joins host Michael Bernzweig to break down why most enterprise AI pilots fail and what the successful 5 percent do differently. She explains how tech-first, reactive decisions waste budget, stall adoption, and erode trust, then lays out three pillars for making AI a real business capability: clear purpose, leadership alignment, and a robust operating model. Andrea also shares examples from companies like Microsoft and Intuit, and walks through a practical three-phase roadmap—foundation, pilot-and-learn, and scale-and-embed—so executives can link AI to strategy, governance, and day-to-day work instead of scattered tools.

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AI Operating Models for Enterprise Leaders

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