Customer Workflows Become Competitive Moats in AI Era
Companies embedding AI into core customer workflows are building significant competitive advantages. Deep integration and recurring task completion create substantial switching barriers.
AI solutions embedded within customer workflows are emerging as a key competitive advantage as AI technologies advance. While new models may appear, replacing deeply integrated systems requires significant changes to a company's operational structure.
Major acquisitions and partnerships highlight this trend. Schneider Electric's approximately $22.6 billion agreement to acquire PTC strengthens its position within customer product design and service lifecycles. The Synopsys-OpenAI partnership combines advanced AI with chip design tools, demonstrating the value of owning the environment where AI operates. These moves indicate that AI developers need partners with customer relationships, domain expertise, and established processes.
Completing recurring tasks builds defensibility. ElevenLabs' announcement of handling over 15 million weekly conversations and its $22 billion valuation underscore the importance of operational adoption. Once a product is integrated with internal systems and reliably executes tasks, switching involves substantial migration, testing, and retraining costs, fostering customer loyalty.
Companies can also acquire workflow access. ServiceNow's acquisition of Moveworks combines an AI assistant and enterprise search technology with workflow automation. The strategic opportunity lies in connecting employee requests directly to the systems and processes that resolve them. This fosters a corporate development agenda focused on acquiring deeply integrated solutions that can deliver measurable improvements and sustainable growth.