Key takeaways from Bianca Brady’s conversation on the Make Restaurants Profitable podcast
In hospitality, guest experience is built on hundreds of small moments done consistently well.
But one of the most overlooked moments happens before a guest ever walks through the door: the phone call.
In a high guest-experience environment, the “pre-venue experience” matters. If a guest calls to book, ask a question, change a reservation, or enquire about a private event, that interaction is part of your brand. And when that experience is slow, inconsistent, or interrupted, it quietly erodes trust—even when the in-venue experience is exceptional.
This is exactly what we discussed on Tim Kummerfeld’s Make Restaurants Profitable podcast: how operators can optimise their AI + human workforce to protect hospitality outcomes, reduce interruptions, and lift conversion without sacrificing brand.
The hidden cost of interruption
Most venues don’t have a “phone problem.” They have an interruption problem.
Calls spike during service. Teams are already stretched. Managers are doing three jobs at once. And the phone becomes a constant pull away from the floor and away from guests.
That interruption has a real cost:
Missed bookings and missed event leads, especially after-hours
Slower response times that reduce conversion
Service distraction and compounding stress for the team
Inconsistent answers when staff rotate, get busy, or are under pressure
Even in great venues, the phone is often where the experience becomes variable.
The goal isn’t less hospitality
When people hear “AI,” they sometimes assume the goal is replacing humans.
It isn’t.
The goal is to protect the human moments that define hospitality by removing the repeatable, interruptive work that prevents teams from delivering their best service.
That’s what “optimising your AI + human workforce” actually means:
Let AI handle what it can do consistently and instantly
Reserve humans for what requires judgement, nuance, warmth, and relationship.
When you get this balance right, outcomes improve across guest experience, staff experience, and profitability.
High guest-experience venues need consistent digital hospitality
The best venues don’t just feel premium in-person. They feel premium end-to-end.
Guests don’t separate “booking” from “service.” They experience one brand. That means the phone call, the reservation flow, the event enquiry, and the follow-up communication all need to reflect the same level of care.
A consistent digital experience before guests arrive is now part of the benchmark—especially for premium operators.
This is why the question isn’t “Should we use AI?”
It’s: “How do we design a consistent, on-brand experience at scale, without overwhelming the team?”
Curated AI matters: brand tone + operational rhythm
Not all AI is created equal—and generic automation is rarely good enough for hospitality.
If you want AI to support guest experience (not damage it), it needs to be curated around three things:
Brand tone of voice
Your venue has a personality. The words, pacing, warmth, and confidence all matter. AI must reflect the way your team speaks and the way your brand feels.
Operational rhythm
Every venue has peak periods, staffing realities, and preferred ways of handling edge cases. AI should work with your rhythm, not against it—knowing when to be efficient, when to slow down, and when to hand off.
Clear boundaries and handoff paths
Hospitality is full of nuance. AI needs strict guardrails and a seamless path to a human when complexity, emotion, or ambiguity rises.
In other words: good AI in hospitality isn’t “set and forget.”
It’s designed, tuned, and managed like any other part of the guest journey.
Where AI should lead, and where humans should step in
A practical operating model is to let AI lead in high-volume, repeatable interactions, and escalate smoothly when needed.
AI is typically strongest for:
New bookings and basic availability checks
Confirmations, cancellations, and modifications
“Running late” updates
FAQ-style enquiries (parking, hours, dietary notes, policies)
After-hours and overflow coverage
Basic event lead capture and routing
Humans should step in for:
Complex event planning and high-stakes groups
Sensitive issues (complaints, cancellations under pressure, special circumstances)
Ambiguous requests that require judgement
Moments where relationship-building is the point
This model reduces the interruption load while ensuring the guest still feels cared for.
What to measure so it’s not “AI theatre”
To get real outcomes, you need real metrics. We spoke about shifting the conversation from “Is the AI accurate?” to “Is it improving what matters?”
A strong baseline scorecard includes:
Answer rate (especially after-hours and peak periods)
Booking conversion rate (from booking-intent calls)
Successful booking completion rate (end-to-end)
Handoff rate and handoff reasons (what is driving escalation?)
Guest sentiment and feedback markers
Team time returned (minutes/hours reclaimed per week)
These metrics make it clear whether your AI + human workforce model is improving conversion, experience, and workload—without guessing. Be careful of AI that handles only the reservation requests and hands off everything else to your team – this reduces the opportunities to connect in the moments that matter, disenfranchised teams and deteriorates overall experience.
The bigger shift: operational infrastructure, not a gadget. The venues winning with AI aren’t using it as a novelty. They’re using it as operational infrastructure: a system that protects consistency, reduces noise, and keeps humans focused where they create the most value.
When you approach it this way, the benefits are compounding:
Guests get faster, more consistent service
Teams feel less interrupted and more in control
Operators capture more revenue without adding headcount
The in-venue experience improves because staff are present
That’s better hospitality.
Listen to the episode
Bianca Brady joined Tim Kummerfeld on the Make Restaurants Profitable podcast to unpack the practical realities of designing an AI + human operating model for hospitality—grounded in outcomes, not hype.
If you’d like to talk about what this could look like for your venues—starting with overflow/after-hours, bookings, or events—reach out to the Axify team.
