Two facilities. 90 days. Three compound failure risks identified before they became emergencies.
Rivolq's first live deployment surfaces what buyers want most: hidden risk made visible, capital priorities made defensible, and teams leaving with outputs they can actually use.
The value came from interaction effects.
None of these issues were invisible in isolation. The difference was modeling how age, weather, maintenance history, and system dependencies changed the actual decision.
Aging chiller risk was being materially understated.
The system was operating beyond expected lifecycle, but the real exposure only became clear after condition, weather context, and dependency data were modeled together. Isolated condition notes missed the compounding effect.
Generator failure carried a hidden sequencing dependency.
Drainage and outage sequencing made one storm-season failure scenario materially more disruptive than maintenance history alone suggested. The risk was invisible without the interaction model.
Deferred maintenance was compounding across system boundaries.
What looked like separate mechanical issues was actually a reinforcing pattern across HVAC, drainage, and generator systems that changed replacement timing priorities and total capital exposure.
What the team received.
STATUS: DELIVERED ✓The project did not end with a dashboard. It ended with a decision package — outputs operators, leadership, and finance could each use to move forward.
Executive risk summary · Delivered
Capital recommendation stack · Delivered
The numbers the pilot delivered.
Clearer top-three intervention list before storm season
Stronger board narrative for capital timing
Shared view between operators and leadership on urgency
Reusable reporting format for future decisions
Want a similar outcome for your facility?
The sample pack shows what a real pilot delivers: executive summary, risk rankings, capital priorities, and scenario comparisons — redacted but complete.