Everybody in gaming is talking about AI right now. Every conference, every webinar, every LinkedIn post seems to promise that artificial intelligence is about to completely transform operations overnight.
But according to Jeff Gray, Raving Partner, Business Optimization, that’s exactly where many organizations are getting it wrong.
“People think AI is going to solve all their problems,” Gray said during a recent TG&H On Air conversation. “But AI is really just a tool. If your systems are broken, all you’re doing is automating a bad process.”
That statement may be one of the most important reality checks tribal operators hear this year.
Because while AI has become the shiny new object in every industry, tribal enterprises are simultaneously facing very real pressures: rising operating costs, workforce challenges, increased competition, changing guest expectations, and constant pressure to do more with less — without losing the human side of hospitality that tribal gaming is built on.
And that’s where Gray says Lean operations management and AI can work together — but only in the right order.
Don’t Automate Chaos
Gray’s specialty is Lean operations management, a business improvement approach focused on identifying waste, inefficiencies, bottlenecks, and operational breakdowns before technology is layered on top.
In simple terms? Fix the mess first.
“Lean helps you identify areas of opportunity to improve,” Gray explained. “You’re looking at cost, inefficiencies, customer experience, revenue opportunities, training, processes — all of it.”
That means looking at the entire operation holistically:
• Food and beverage
• Hotel operations
• Housekeeping
• Table games
• Guest service systems
• Workforce workflows
Only after those systems are functioning properly should organizations begin adding automation or AI support.
“Do not go AI something right now if your systems aren’t optimized,” Gray said. “You’re just going to automate a bad system.”
That line hit home because, honestly? We’ve all seen it.
A property rolls out a new technology platform hoping it will magically fix service issues, staffing gaps, communication breakdowns, or operational confusion. Instead, it often speeds up dysfunction rather than solving it.
The technology isn’t necessarily the problem. The process underneath it is.
The Room Service Example
One of the examples Gray uses in Lean workshops involves something almost every casino hotel has dealt with at some point: poor room service scores.
The complaints sound familiar:
• Food arrives cold
• Orders are incorrect
• Delivery takes too long
• Communication breaks down between departments
Gray explained that before talking about AI, teams first map the actual process.
- Who takes the order?
- Where does communication fail?
- How many unnecessary steps exist?
- Where are employees wasting time?
- What’s slowing delivery down?
“Everybody was going back and forth. Communication was bad. The process was disorganized,” Gray said. “So first we analyze the current state.”
That’s Lean.
The team studies the operational data, identifies breakdowns, and redesigns the process itself before introducing automation.
Then AI becomes a support tool — not the solution.
“You can take your metrics and your process data and ask AI, ‘Did we miss anything?’” Gray explained. “It becomes more of a check and balance.”
In other words, AI works best after organizations already understand what success is supposed to look like.
Tribal Hospitality Still Needs Humans
One of the more interesting parts of the conversation was Gray’s emphasis that AI should not replace the human side of tribal hospitality.
And frankly, that matters.
Tribal gaming has always operated differently from many commercial environments because hospitality is tied so closely to culture, community, relationships, and reputation. Guests remember how people made them feel long after they forget what promotion was on the kiosk screen.
Gray believes that human judgment still has to lead the process.
“AI can’t take an overview of your operation and tell you everything you need to know,” he said. “That human factor is still needed to make long-lasting decisions.”
That’s an important distinction in an industry currently drowning in technology promises.
AI can help identify patterns.
It can organize information faster.
It can help benchmark operational ideas.
But it cannot replace leadership instincts, operational experience, or tribal values.
At least not unless we want casino guests being greeted by a robot host saying, “WELCOME VALUED PLAYER #47281. YOUR BUFFET POINTS HAVE BEEN OPTIMIZED.” Which feels a little less like hospitality and a little more like a dystopian 1987 sci-fi movie.
Start With Data
So where should tribal leaders begin if they want to improve operations while also preparing for the future?
Gray’s answer was immediate.
“Start with data.”
Not flashy dashboards. Not buzzwords. Not rushing to implement every new AI platform that shows up in your inbox.
Real operational data:
• Financial performance
• Guest feedback
• HR trends
• Operational bottlenecks
• Service breakdowns
• Employee pain points
“That data tells us what’s actually going on,” Gray said.
From there, organizations can identify the gap between where they are and where they want to be — and begin improving intentionally instead of reactively.
Because in the end, the goal isn’t simply to become “more automated.”
The goal is to build stronger operations, create better guest experiences, support employees more effectively, and protect profitability in an increasingly complicated environment.
And sometimes the smartest use of AI is knowing where not to use it yet.
To find out more about Raving’s business optimization program, please visit https://betravingknows.com/services/business-optimization/ or contact https://betravingknows.com/contact/.
