Salesforce pivots to 'Agentic' AI for enterprise work

Salesforce's "Agentic AI" is a strategic shift to frame AI's value around autonomous agents that perform complex, multi-step tasks with minimal human input. This approach moves beyond simple generative AI, which creates content, to AI agents that can reason, act, and learn within a business environment to achieve specific goals. The company's own Agentforce platform has reportedly contributed to closing 18,000 deals and accelerating ARR by over $1 billion. The agentic model turns the CRM from a passive data repository into a proactive system where AI can manage workflows like identifying target audiences, generating campaign assets, and deploying them through marketing automation. These AI agents are designed to be embedded directly into applications like Sales Cloud and Service Cloud, allowing them to handle tasks such as creating sales orders, managing exceptions, and ensuring a smooth handoff from AI to human agents with full conversational context. For SaaS platforms, this AI-driven automation is mirrored by a strategic shift in monetization toward embedded payments. By integrating payment processing directly into their software, platforms can open up new revenue streams beyond subscriptions, such as charging fees on transactions their users process. This "payment facilitation" or "PayFac" model allows a SaaS provider to act as a master merchant, simplifying onboarding and payment management for their customers. Vertical SaaS leaders like Toast and Shopify exemplify this trend. Toast, which focuses on the restaurant industry, bundles its point-of-sale software with its own payment processing solution, Toast Payments. Similarly, Shopify, a dominant force in e-commerce with a 66.59% market share in payment processing, integrates Shopify Pay to create a seamless checkout experience and capture payment revenue. This strategy turns payments from a cost center into a significant revenue driver. This convergence of AI and embedded finance is creating more intelligent and valuable platforms. As AI agents handle more of the commerce workflow, the integrated payment layer becomes more critical, increasing the platform's strategic importance. For sales leaders, understanding this dynamic is key to articulating the value of platform solutions that not only streamline workflows but also create and capture new revenue. The push for more intelligent systems extends to managing the complexities of modern payments, such as real-time settlements and cross-border transactions. Real-time payment volumes grew 42% in 2024 and are expected to comprise over 25% of all electronic payments by 2028. However, this speed increases fraud risk, as it leaves less time to detect malicious activity before funds are moved. In response, AI is being heavily deployed in fraud detection to analyze transaction patterns and behavioral signals in real-time. Advanced AI models can reduce false positives, meaning fewer legitimate transactions are incorrectly declined, which improves conversion rates. This is crucial as fraudsters are also using AI to create more sophisticated scams, which are projected to fuel over $40 billion in U.S. fraud losses by 2027.