AI at a Crossroads: The State of the Industry on Trust, Leadership, and Execution

Enterprise AI is at a critical turning point. In this webinar, HFS brought together Phil Fersht and the HFS Global Advisory Board to explore why many organizations remain stuck between experimentation and execution, and what it will take to build the trust, leadership alignment, and operating models needed to scale AI.

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• Watch the webinar replay
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Key takeaways

• Why enterprises are facing an AI velocity gap, where individuals are adopting AI faster than organizations
• How fear, siloed decision-making, and slow governance are holding back enterprise-wide AI adoption
• Why trust in AI is still a major barrier, especially at the leadership and board levels
• How organizations must shift from experimentation to execution by focusing on business use cases
• Why process debt, not just tech or data debt, is the biggest constraint to scaling AI
• What it takes to redesign organizations, decision rights, and incentives to enable AI-driven outcomes
• Why leadership, culture, and change management are more critical than technology in driving AI success
• How Services-as-Software™ is reshaping the industry from effort-based delivery to outcome-driven models

Ready to move from AI pilots to real execution?

If you’re navigating challenges around scaling AI, overcoming internal resistance, or redefining your operating model for an AI-first world, HFS can help you make confident, informed decisions. We work with enterprise leaders to move beyond experimentation and build trusted, outcome-driven AI strategies.

Contact us to explore how to apply these insights to your AI and enterprise transformation journey.