You’ve Started With AI. But Now You’re Stuck.

Businesses are increasingly adopting AI to enhance productivity and profitability, yet many struggle to scale and achieve expected returns on investment due to premature implementations and lack of strategic planning. While McKinsey reports that 78% of companies use AI in at least one business function, IBM found that only a quarter of AI pilots meet leadership expectations for ROI, and even fewer are scaled organization-wide. Successful AI initiatives start with a deep understanding of organizational workflows and identifying areas where technology can meaningfully contribute, such as automating repetitive tasks and improving decision-making processes. Companies often face challenges when AI adoption is either rushed, causing fragmented implementations, or overly cautious, resulting in "shadow AI" as employees independently explore AI solutions. To effectively harness AI's potential, leaders should align AI with operational needs, involve employees in strategy development, seek early, small-scale wins, and ensure chosen technologies integrate well with existing systems while maintaining security and privacy standards. PagerDuty exemplifies this approach by focusing on data-driven, resilient AI operations tailored to complex environments.