Futures Issue 5: Agentic Enterprise Futures
Salesforce Futures Issue 5 explores the evolving role of AI agents in enterprise, emphasizing scenario-based planning over rigid predictions to guide strategic decisions amid uncertainty.
The latest Salesforce Futures report shifts focus from rigid future timelines to a broader exploration of agentic enterprise possibilities, arguing that predictive clarity is most useful when tied to specific decision-making contexts rather than generalized forecasts. The publication introduces a portfolio of framing questions, images, and vignettes designed to help leaders visualize how agentic capabilities could reshape business operations, customer interactions, and organizational structures. By prioritizing relevance, plausibility, and surprise, the report avoids narrowing possibilities to a single path, instead encouraging exploration of diverse scenarios.
The report highlights the growing adoption of AI agents among Salesforce customers, noting significant progress in workforce productivity and customer-facing applications despite an earlier period of disillusionment. It underscores the emergence of open-source alternatives like OpenClaw, a personal agent launched in January 2026 that operates via WhatsApp and performs tasks such as negotiating prices or managing inboxes, as evidence of demand for proactive AI assistance. The document also acknowledges persistent uncertainties, including the rapid evolution of AI models, the role of open-source solutions in managing costs, and the challenges established businesses face in restructuring operations to accommodate agentic workflows.
A central theme is the uneven development of AI capabilities, described as the "jagged frontier," where models excel in some tasks while failing in others, complicating efforts to determine where agentic technologies will deliver the most value. The report examines the rise of agentic harnesses, which provide granular control over AI models, and warns of risks such as optimizing for imprecise outcomes without aligning with higher-order values. It also introduces the concept of organizational harnesses, which extend beyond personal use cases to reshape entire workflows and business models.
The publication concludes with three guiding questions to help leaders navigate agentic transformations: assessing the evolving capabilities of AI agents, reimagining work and organizational structures, and understanding shifts in customer relationships. It emphasizes the need for experimentation, adaptation, and new metaphors to make sense of these changes, while acknowledging that the future of agentic enterprises remains fluid and interdependent.