Two AI for customer service tools, one booking agency, zero added headcount. The playbook behind our Altus Entertainment deployment.
Most service businesses do not fail at customer service because their systems are old, and AI for customer service is not a quick fix for that. Instead, they fail because every inquiry still needs a human to read it, sort it, and answer it. Voice, email, chat, social: the channels multiply, the questions stay the same, and the only scaling lever left is headcount. As a result, teams keep growing while margins keep shrinking.
At Primas Group, we refuse the usual answer to that problem: rip everything out and buy a new platform. Our approach is an intelligence layer on top of the systems you already run. Below, we show how that played out in a recent deployment for Altus Entertainment, a Las Vegas booking agency scaling its operations internationally.
The Booking Boom That Broke the Back Office
Seth Yudof and Jayson Pearson founded Altus Entertainment. The agency books live entertainment worldwide: close-up magicians, strolling performers, acrobatic troupes, and major celebrity artists. Private events, corporate galas, and festivals kept filling their calendar. Behind the scenes, however, three problems compounded.
- Requests arrived on every channel. Email, phone, chat, and social each waited for a human reply.
- Most questions were the same question. In fact, availability, pricing, and process queries consumed expert time.
- Headcount could not follow demand. Therefore, the company set one blunt goal: expand internationally and handle greater booking volumes without simply hiring large numbers of new staffers.
Co-founder Jayson Pearson framed it best: “Behind the curtain, the business has to run like a tech company.”
That goal shaped the AI for customer service scope we proposed. Two tools first. No rip-and-replace, no six-figure migration.
Tool 1: AI Inquiry Triage Answers Every Request in Seconds
First, the rollout began with triage. We deployed AI chatbot and voicebot capabilities that answer routine questions 24/7, in seconds, on every channel. For example, a planner asking about a jazz trio at midnight gets an immediate, accurate response. Meanwhile, only genuinely complex inquiries reach a human specialist: multi-city tours, celebrity riders, custom productions.
The effect on the Altus team matters most. Booking specialists stopped answering the fortieth version of “what do you charge?” Instead, they now spend their day on the conversations that close events. In short, this is AI for customer service done right: not removing people from conversations, but making sure people only join the ones where they add the most value.
Tool 2: Our AI Agent Assistant Keeps Humans Sharp
Next, when a conversation does reach a live agent, our AI Agent Assistant surfaces the right knowledge in real time: act specifications, pricing tiers, availability patterns, client history. As a result, agents resolve faster, onboarding shrinks, and service quality survives the shift from boutique to global.
Together, the two tools form the human half of AI for customer service at Altus, and they follow one design principle we apply to every engagement: automate the repeatable, protect the human.
What This AI for Customer Service Partnership Targets
To be precise about scope, this is an active transformation, not a finished case file. We built this AI for customer service partnership to improve efficiency in four areas: booking operations, talent deployment, customer-service workflows, and data-driven marketing. Savings then flow back into what Altus clients actually buy: performers and productions.
“We are delighted to support Altus in merging artistry with operational rigor,” says Mike Mastro, our founder. “By giving the company access to affordable AI and cloud platforms, we enable them to invest in performers and productions, not just infrastructure.”
One note on our credentials, separate from this engagement: Primas itself is a StateRAMP, FedRAMP, and HIPAA-compliant provider, and the U.S. Government, nationwide medical centers, and enterprise brands trust our platform. The Altus deployment uses none of those regulated environments. It simply benefits from the same engineering discipline behind them. Co-founder Seth Yudof, for his part, publishes on AI and entertainment and released a course for performers, The Entertainer’s Guide to Getting Hired.
Three AI for Customer Service Takeaways for Any Service Business
- Automate before you hire. For instance, if your team spends its day answering the same ten questions, the next hire is not the answer. AI for customer service is, and it costs less than a salary.
- Do not replace what works. Modern AI runs on top of the systems you already have. After all, the rip-and-replace era is over; the intelligence-layer era is here.
- Keep humans where they create the magic. Automation should handle the repeatable work, not replace judgment. Whether your product is live performance, expert advice, or patient care, your people should spend their hours on what only people can do.
Want AI for customer service that works this way on your own operation? Talk to us and book a demo.
