73% of companies say ai runs through most of their work. 10% say it changed how the business actually runs.

publicis sapient surveyed 1,550 ai decision-makers at companies with at least 500 people and $100m in revenue, and the two numbers that matter sit right next to each other: 73% say ai is used regularly or across most business processes, and 10% say it is core to how the business operates. 47% of them think the technology is already good enough for what they need today, while 42% say their own company is not built to capture the value, which is a room full of buyers quietly telling you the bottleneck is not on the vendor's side of the table. the cost is a year of licenses, training hours and pilot calendar spent buying a faster version of the same process, with the same handoff, the same approver, and the same undocumented definition of good sitting underneath it.

the fake move is the next platform, or the agent layer on top of the platform, which adds capability to work nobody has written down.

do the version that holds: take the one process that touches revenue most often, write its real steps as they happen now and not as the org chart claims, name who owns each handoff, define a good output in one paragraph, then let the tool into that. 22% already name the way their own organization runs as the primary barrier to ai success, so the diagnosis is not the expensive part anymore. the writing down is.