Council Post: Stop Trying To Save Money With AI; Use It To Make More Money

Jean-Marc Chanoine, Chief Sales Officer de Templafy, argues that many companies are treating AI primarily as a cost-cutting tool—automation meant to replace people and eliminate roles. He says that approach often fails economically because token usage, infrastructure, and maintenance can cost more than keeping existing staff, and that routine tasks may still be cheaper to outsource. Chanoine warns that “failure is not free”: when agentic workflows break, give wrong answers, or stop mid-task, companies still pay for each model call. Instead, he urges leaders to target new capabilities that increase revenue, citing reported cases of conversion rates rising more than 20%.