Lead-to-cash is the end-to-end path from first contact to booked revenue - and in B2B it is rarely simple. Long deal cycles, multiple stakeholders, and constant change make it easy for customer information, pricing, inventory status, and approvals to drift out of sync. SAP’s briefing “Assembling intelligent lead-to-cash processes with AI” argues that the fastest way to improve deal velocity is to connect every stage of the process and embed intelligence into daily work. When sales, marketing, finance, and operations act on the same data, teams reduce guesswork, respond faster, and deliver a more consistent customer experience.
Artificial intelligence is becoming increasingly relevant for energy and utilities organizations operating in asset-heavy, safety-critical, and tightly regulated environments. Oxford Economics research conducted with SAP shows that the sector is already investing with clear intent and seeing real benefits, especially in decision-making, service delivery, and customer engagement. At the same time, the study makes one point equally clear: the real challenge is no longer whether to invest in AI, but whether data, systems, and teams are ready to scale it across the business.