Where AI Projects Actually Fail in Real Businesses | PureLogics Pulse | Podcast

Описание: In this episode of PureLogics Pulse, host Mohsin Ali speaks with Josh Shaner, Founder & CEO at Braive, about why most AI initiatives fail to deliver real business impact despite strong technology. The discussion cuts through AI hype to focus on the real failure points organizations face, including unclear ownership, rushed deployments, lack of frontline buy-in, incentive misalignment, and unrealistic expectations around AI outcomes. Josh shares real-world examples from enterprise deployments and explains how treating AI as an evolving system with clear accountability, phased rollout, and human oversight is critical to long-term success.

𝐒𝐡𝐨𝐰 𝐍𝐨𝐭𝐞𝐬
• AI project failure is rarely caused by bad models; it is most often driven by ownership gaps and weak execution post-launch.
• “AI employees” work best when designed for a single, clearly defined function with explicit human accountability.
• Rushing AI initiatives without frontline buy-in creates resistance, silent rejection, and low adoption.
• AI should replace mundane, low-value tasks rather than threaten core human roles to encourage adoption.
• MVP-level AI is fundamentally different from production-grade AI and requires time for optimization and iteration.
• Unrealistic timelines, scope creep, and disengaged stakeholders are early red flags for AI project failure.
• Scalable AI deployment requires phased rollouts, test markets, and adaptation to local workflows and regulations.
• Agencies and leaders must be willing to say no, reset expectations, or pause initiatives to avoid sunk-cost failures.
• Sustainable AI success depends on process, governance, and culture, not just speed or automation claims.

#ArtificialIntelligence #EnterpriseAI #AIAdoption #DigitalTransformation #HumanInTheLoop #AIDeployment #TechLeadership #FutureOfWork #PureLogicsPulse

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