Leading AI property management system (AiPMS), Boom, has entered its next phase by rolling out BAM, the Short-Term Rental (STR) industry’s first Business Agentic Manager.
The platform goes beyond task automation to act as an intelligent business agent, making autonomous decisions across marketing, guest communications, financial reporting, and review management.
By removing repetitive workflows from human teams, the system is said to empower property managers to focus on strategy, growth, and guest experience while reducing operational costs.
It comes just weeks after Boom announced a $12.7 million funding round led by Avenue Growth Partners, alongside hospitality leaders including Ian Carter, former CEO of Hilton International.
Unlike traditional PMS platforms or AI plug-ins that automate isolated functions, BAM defines an entirely new category — the Business Agentic Manager. It learns, adapts, and manages every process end-to-end, setting a new benchmark for intelligence, efficiency, and scale.
With BAM, Boom signals a broader evolution — a shift from the world of SaaS (Software as a Service) to BAaS: Business as a Software. Instead of software serving businesses, businesses themselves now run as software: intelligent, adaptive, and fully autonomous.
BAM delivers a living, breathing view of the entire organisation — every department, every process, every number — unified in one intelligent interface. With just one prompt, it surfaces the answers to anything you want to know about your business, from financial performance to team productivity and guest satisfaction.
BAM also redefines the owner–manager relationship. It gives property managers the ability to deliver instant, data-rich updates and measurable results that strengthen trust and transparency with owners.
By showcasing performance and ROI in real time, managers can increase satisfaction, retention, and even attract new owners through stronger marketing and credibility — all powered by Boom.
Early adopters are already reporting significant results with BAM, including:
- 75% of guest communications handled autonomously
- 100% of review management completed without human intervention
- 80% faster average response times for guests
- Reporting tasks reduced from hours to under a minute
- Listing reviews that once took days are now completed in seconds — with every insight, trend, or conclusion required instantly within reach
Shahar Goldboim, CEO and Co-Founder of Boom, said: “BAM is a landmark moment for short-term rental operators. With the launch of the sector’s first-ever Business Agentic Manager, we’re taking the next step — helping property managers unlock autonomy, efficiency, and freedom to grow.
“Our vision with Boom is to create a new generation of software — BAaS: Business as a Software — that allows companies to focus more on the human touch and less on the tedious tasks. It’s about making what was once impossible finally possible: owners earn more, guests enjoy better service, managers achieve true work-life balance, and management companies become more profitable. We’re entering a new stage for the industry.”
Sab Mulligan is Head of Team at Zzzing,Malta’s leading collection of luxury holiday homes and boutique guesthouses and has been using BAM for several months.
“Since adopting BAM, we’ve transformed our operations. Guest communication and review management run automatically, while instant, data-driven reporting gives us the confidence to scale. It feels like having a 24/7 operations manager built into the system,” she said.
The launch of BAM follows Boom’s introduction of the world’s first AiPMS in 2024, which placed AI-powered autonomy at the core of short-term rental operations. With BAM, Boom is once again setting the pace for innovation — evolving from dashboards and reporting tools to a system capable of autonomous, end-to-end business management.
BAM has been designed as a continuously evolving system, with each iteration becoming more capable of autonomously managing additional areas of property operations, further reducing the need for manual intervention.
