Why 95% of AI Pilots Fail and How Apromore Transforms AI Success

The AI Adoption Dilemma: Understanding Failure Rates

In an age where technology and artificial intelligence (AI) seem to dominate the conversation, the stark reality presented at Dreamforce 2025 by Marc Benioff should serve as a wake-up call. Despite countless investments and innovations in AI, a staggering 95% of AI pilots never transition into production. This alarming statistic raises an imperative question: what is preventing these AIs from fulfilling their promise?

How Salesforce’s Acquisition of Apromore Addresses Critical Gaps

Salesforce's recent acquisition of Apromore, a pioneer in process intelligence, represents a strategic shift aimed at addressing this dilemma. With its roots in over a decade of rigorous academic research at Queensland University of Technology, Apromore brings a holistic understanding of organizational workflows to Salesforce. By integrating Apromore's capabilities, Salesforce seeks to rectify the very issue that plagues enterprise AI: a lack of contextual understanding within operational processes.

Apromore offers comprehensive tools such as process mining and root-cause analysis that open the door to insightful, data-driven decision-making. These features provide organizations with an unparalleled view of their business processes, moving beyond traditional analytics. For instance, while standard analytics might reveal a failed handoff between departments, process intelligence helps explain why those failures occur, guiding organizations in automating workflows effectively to prevent future breakdowns.

Impact on Societal Structures and Business Practices

As Apromore integrates with Salesforce, the implications extend beyond mere business efficiencies. Understanding workflow dynamics is crucial for addressing larger societal and ethical challenges posed by AI. For instance, process intelligence can illuminate how AI automates roles traditionally held by humans, raising concerns about job displacement. In an era where societal changes relating to AI are continuously evolving, understanding these impacts is essential. Will organizations leverage AI to enhance productivity and social good, or will they create inequities and exacerbate existing societal challenges?

Future Trends: What Lies Ahead for AI and Society

With Apromore's integration, there’s potential for significant advancements in how AI interacts with societal structures. Process intelligence paves the way for AI systems that not only function better but also align with ethical frameworks and societal expectations. As organizations increasingly face scrutiny over AI ethics and accountability, the need for robust process intelligence becomes a vital component for shaping a future where AI serves the greater good.

Task Ahead: Embracing the Change

The integration of process intelligence is not merely a technical upgrade; it’s a pathway to reimagining how companies define efficiency and progress. As we forge ahead, the call to action is clear: organizations must prioritize understanding their internal processes to harness AI effectively. Companies that leverage innovations like Apromore will not only improve operational efficiency but will also play a crucial role in shaping the ethical landscape of AI in society.