In the AI era, enterprises reject the fragmented, best-of-breed SaaS model. They prefer a single AI platform that handles entire workflows across departments. This avoids data silos and streamlines compliance, making end-to-end automation the key value proposition.

Before launch, product leaders must ask if their AI offering is a true product or just a feature. Slapping an AI label on a tool that automates a minor part of a larger workflow is a gimmick. It will fail unless it solves a core, high-friction problem for the customer in its entirety.

Customer conversations have shifted from discovery to prescription. According to Bill McDermott, enterprises now expect vendors to arrive with a deep understanding of their business and a clear, AI-driven plan for rapid value delivery. The time for lengthy consultative sales processes is over.

The threat of AI to enterprise software vendors is nuanced. Customers are not terminating entire contracts with platforms like ServiceNow. Instead, they are opting out of pricey AI-powered feature add-ons, choosing to use cheaper cloud alternatives or build their own solutions for specific automation tasks.

Enterprise software companies report huge AI revenue growth, but this is often a sales tactic. Systems like Workday's 'flex credits' are packaging innovations designed to capture AI budget from CIOs, not fundamentally new, agentic experiences that transform how work gets done.

For enterprise AI adoption, focus on pragmatism over novelty. Customers' primary concerns are trust and privacy (ensuring no IP leakage) and contextual relevance (the AI must understand their specific business and products), all delivered within their existing workflow.

In a market where every vendor claims to be "AI-powered," differentiation comes from focusing on outcomes. AI should be messaged as a force multiplier that improves existing workflows, enhances efficiency, and provides intelligence, not as a standalone product.

Vendors fail to connect with SMBs on AI because their messaging is either too technical and intimidating or too aspirational and fluffy. SMB partners and customers want clarity, not hype. They need simple, concrete use cases demonstrating tangible business value like productivity gains or automation, not visions of futuristic robots.

ServiceNow’s strategy is not to compete with LLMs or hyperscalers but to be the essential integration fabric connecting them. By acting as the "AI control tower" or "central nervous system," the platform provides value by orchestrating workflows across all these disparate, powerful systems.