Valuemaxxing. Hotels have always done it. They just called it Monday morning.
What does AI value look like when the margin for waste is zero? For hotel teams, the answer has always been the same: did the work get done?
The enterprise world is waking up to a problem it created.
Companies burned through AI budgets encouraging employees to experiment. Now CFOs are asking the obvious question: what did we actually get for it? CIO.com is calling the response "valuemaxxing", combining governance, visibility, and financial accountability to get better returns from AI spend.
We'd call it common sense arriving late.
The enterprise AI reckoning, explained.
In hospitality, this conversation looks different. And it always has.
Hotel revenue managers don't have time to experiment. They arrive each morning to eleven tabs, a 45-minute manual routine, and a GM asking what happened overnight. When they adopt a new tool, the value question is immediate and unforgiving: did this save me time today? Did it catch something I would have missed? Did the work get done before my first meeting?
That's a harder test than most enterprise AI passes.
Why hotel teams can't afford to tokenmaxx.
The "tokenmaxxing" problem described in the CIO.com piece (employees interacting with AI hundreds of thousands of times with no measurable output) doesn't exist in hotel operations. The problem is almost the opposite.
Hotel teams are under-resourced, time-starved, and deeply sceptical of tools that promise much and deliver dashboards. They need less AI to play with and more AI that shows up for work.
What value actually looks like on a Monday morning.
Same team. Same systems. 8.6% RevPAR increase in first three months. 200% increase in actions made and decisions taken. 20+ hours per week saved.
OtelAI gives me comfort that I can always see where the opportunities are, where the risks are, and that the team is actually acting on them. - Joanne McDonnell, Group Director of Revenue, O'Callaghan Collection
The proof: 5-10x increase in pricing decisions made per month
That's valuemaxxing for hotels. Not token budgets. Not governance frameworks. An hour back, every day, turned into measurable rate recovery.
The enterprises now asking "are we spending wisely on AI?" are asking the right question, a year too late. Hotels that ask "did anything actually get done?" ask it on day one.
The bar is different here. We think that's exactly how it should be.