Your C-suite thinks the AI rollout is going better than it is

The C-suite in the mid-market is justifiably proud of being closer to the work and to clients than they would be in the enterprise. But they’re still focused on strategy and reporting upwards to the board and investors, and can’t be involved in every aspect of the day-to-day. That distance often shows up in studies that identify a gap between how executive leadership believes is true and what the people doing the work believe.

Our research shows the same pattern. There’s a consistent C-suite premium on the findings that averages out at +17 points higher across a variety of questions, and top out at +24 points on the topic of AI compliance.

The further you are from the work, the more the organisation looks like the version of itself that was presented to you in strategy decks and meetings, in the careful language that tends to travel upward through hierarchies. The closer you are to the work, the more you see the workarounds, the handoff failures, the functions pulling in different directions, and the training that didn’t land or got ignored.

A human organisation can absorb a remarkable amount of internal misalignment through informal judgement, tribal knowledge, and the kind of quiet course-correction that experienced people do without being asked. Those mechanisms are invisible in process documentation and reporting, which is why they don’t show up in the C-suite’s picture. But when you automate a process, you automate the documented version of it and the undocumented, load-bearing work disappears.

The organisations that are consistently reporting strong returns aren’t necessarily better at AI, but they do appear to be better at seeing themselves clearly. Their leadership’s assessment of alignment, governance maturity, and capability tracks more closely with what the operational layer reports. Their narrower gap means decisions get made against a more accurate picture of what the organisation can actually do.