Let Your Workplace Run Itself

Workplace automation uses real-time occupancy data to trigger operational actions automatically, cleaning dispatch, HVAC and lighting adjustments, room release, floor consolidation, based on how space is actually being used rather than a fixed schedule or a static assumption. Instead of running building systems on a calendar that assumes every day looks the same, automation lets your operations respond to what's actually happening on the floor right now, cutting waste without anyone having to manually flag it.

VergeSense connects real occupancy events to your FM and booking systems so operational workflows trigger automatically instead of on a fixed schedule. When a space is vacated or a floor crosses a usage threshold, cleaning dispatch can fire without manual intervention through integrations like ServiceNow WSD. Similarly, when a booking goes unused or attendees leave without releasing a room, that ghost meeting is detected and the room is released back into inventory in real time, no one has to notice and act on it manually.

Yes. By connecting real-time occupancy data to your building systems, HVAC and lighting can run based on actual demand instead of a fixed schedule that assumes every floor is full every day. Empty floors or zones can be automatically de-commissioned rather than heated, cooled, and lit for no one. Enterprises using VergeSense for energy optimization have seen 25%+ reductions in energy spend, savings that compound across a portfolio without requiring any change in employee behavior or policy.

Dynamic stacking uses real occupancy patterns to identify which floors can be consolidated on low-attendance days, typically Mondays and Fridays under most hybrid policies. Facilities teams use that data to close unused floors and redirect cleaning, HVAC, security, and staffing to the floors that are actually active, cutting operating costs without degrading the employee experience on the days people do come in. It turns a fixed weekly operating cost into one that flexes with real attendance.

BMS and IWMS platforms manage and record what exists, assets, schedules, reservations, but they don't forecast what's coming or adjust automatically to real usage; they run on the schedule or plan you configured, whether or not it still matches reality. VergeSense adds the occupancy intelligence layer that tells those systems what's actually happening in the building right now, so automation is driven by real behavior instead of a static configuration that goes stale the moment attendance patterns shift.

VergeSense integrates with 50+ systems across building management, FM/IWMS, and BI platforms, including Johnson Controls, Siemens, Honeywell, ServiceNow, Power BI, and Tableau, connecting to your existing stack rather than replacing it. Occupancy signals flow into the systems your facilities team already runs, so cleaning, HVAC, and space workflows can be automated inside the tools you use today. Open APIs cover anything not addressed by a native connector.

Native integrations typically take days, not months. Timeline depends on your specific system configuration and IT environment, but VergeSense's implementation team works directly with your team to connect your stack and validate data flows rather than leaving it to your engineers to figure out. Some IT involvement is usually needed where system access is required, but the technical configuration itself is handled for you, not by you.

Yes. Automation use cases, cleaning, HVAC, room release, staffing, can be enabled independently rather than requiring a full rollout on day one. Most teams start with a single high-value workflow, often cleaning dispatch or room release, prove the value, and expand to others once the data and integration are already in place. This lets you validate ROI on one use case before deciding how far to take automation across your portfolio.

Timelines vary by use case and portfolio size, but most automation workflows go live within 4–6 weeks of sensor and system integration. Cost savings from energy and staffing optimization typically become visible within the first few months as fixed schedules give way to demand-based operation. Because automation runs on data you're often already collecting for occupancy intelligence, there's usually no separate measurement phase before savings start showing up.