Establish the property
Add location, building type, occupancy, major systems, amenities, and known changes.
Workflow / From records to actionA clear path from
A clear path from
data to decision.
Start with what the building team already knows. Utility AI organizes the record, connects the relevant context, and shows what the evidence can support.
The initial pilot request does not require utility documents.
Analysis runNorth Tower / June 2026
01Ingest
02Normalize
03Contextualize
04Brief
Priority output3 signals ready for management review
The operating pathFive checkpoints.
Five checkpoints.
No black box.
Each stage adds useful context and keeps the source of every important finding visible.
Bring the utility record
Begin with recent bills; add historical, daily, hourly, or interval data when available.
Align the context
Connect supported rates, weather, billing periods, baselines, and operating events.
Review the evidence
Separate cost drivers, expected variation, and patterns that may deserve verification.
Prepare the brief
Present priorities, forecasts, assumptions, confidence, limitations, and next steps.
Progressive data depthBegin light.
Begin light.
Strengthen the analysis over time.
The platform can create value from a small starting set, then use richer records to improve timing, attribution, and confidence.
StartUseful foundation
Bills + building profile
A focused first review of total usage, cost components, regional context, and known property conditions.
- Recent utility bills
- Basic property details
- Location and providers
ExpandStronger attribution
History + operating context
Add comparable periods, occupancy, systems, maintenance, and retrofit events to explain more of the change.
- Longer usage history
- Weather and seasonality
- Systems and events
DeepenFiner timing
Interval + submeter data
Where authorized and available, higher-resolution records support time-based patterns and deeper review.
- Hourly or interval use
- Time-specific signals
- Authorized unit detail
Evidence model
The conclusion never outruns the data.
A possible anomaly remains a signal for review. Forecasts keep their assumptions. Missing or estimated readings stay visible. The result is useful because its limits are clear.
SourceWhere the observation came from
AttachedFindingWhat the available record suggests
ExplainedConfidenceHow strongly the evidence supports it
VisibleNext stepWhat management can verify or act on
RankedWhat management receivesA review built to move
A review built to move
the conversation forward.
The output separates observed facts, contextual interpretation, and recommended verification steps.
01
Executive summary
Priority observations in concise management language.
02
Cost & usage trends
Separate patterns across relevant utilities and periods.
03
Context review
Relevant rates, weather, conditions, and operating events.
04
Assumptions & confidence
Data limitations and evidence strength made explicit.
Pilot flowOne building.
One building.
Four practical moments.
The first step is a fit review. Utility documents are requested later only when relevant and shared through an agreed process.
RequestShare the property and business question.
ConfirmIdentify the data that would add value.
ReviewPrepare analysis and supporting context.
DiscussWalk through findings and next steps.
Complimentary pilot
Request pilot Start with the question that matters most.
Tell us what the building team needs to understand. We will review pilot fit and identify the most useful next data step.