Locate the building
Add province or territory, city, building type, and available provider information.
How it worksFrom available data
From available data
to a useful decision.
A practical workflow connects utility bills with the building, region, weather, and operating events—then shows what the evidence supports.
No complex system integration is required for the first pilot step.
Utility reviewExecutive summary
Three signals worth management attention.
01
Peak electricityReview operating schedule
02
Overnight waterVerify persistent base load
03
Heating contextWithin weather range
Six connected stepsA clear path from
A clear path from
property to priority.
The workflow becomes more detailed as the quality and depth of the available information improve.
Describe the property
Add units, approximate age, systems, common areas, and relevant operating details.
Bring the utility record
Start with bills; add historical, daily, hourly, or interval usage when available.
Apply the right context
Align supported rates, billing periods, weather, occupancy, and building events.
Review the signals
Evaluate trends, cost drivers, forecasts, and patterns that may need verification.
Prepare the brief
Present findings, supporting context, confidence, limitations, and next steps.
Input depth
Begin simply. Build confidence layer by layer.
Recent bills can establish a starting point. Additional history, interval readings, weather, equipment details, and operating events help the analysis make stronger distinctions.
Layer 01Bills & billing periods
Start hereLayer 02Rates, weather & location
ContextLayer 03Property, systems & occupancy
SpecificityLayer 04Interval data & operating events
DepthBehind each findingCalculation, comparison,
Calculation, comparison,
then explanation.
The platform is designed to keep analytical reasoning grounded in the available inputs and supported pricing logic.
1. Structure
Normalize bills, dates, units, charges, and source quality.
2. Calculate
Apply supported rate and billing logic to the appropriate periods.
3. Compare
Review history, baselines, weather, occupancy, and known events.
4. Explain
Translate the strongest supported findings into management language.
Questions the review can supportMove from “what changed?”
Move from “what changed?”
to “what should we check?”
Findings depend on the completeness of the submitted information and should identify limitations where appropriate.
Electricity cost
Did cost rise because of more usage, expensive periods, rate changes, or a new load?
Water behaviour
Is the increase consistent with occupancy and seasonality, or should a persistent pattern be verified?
Heating demand
Does colder weather explain the change, or does usage remain unusual after conditions are considered?
Equipment event
Did utility behaviour shift after service, replacement, renovation, or another known building event?
Upcoming cost
What might the next period look like under the available usage, rate, and weather assumptions?
Management priority
Which observation deserves attention first, and what evidence or verification supports the next step?
Reporting outputBuilt to be read,
Built to be read,
shared, and acted on.
The output organizes the analysis into a concise management view, not a list of disconnected metrics.
Executive summary
The most important observations and priorities in one clear opening view.
Cost & usage trends
Separate electricity, water, and gas patterns across the available periods.
Context review
Relevant rates, seasons, weather, property conditions, and events.
Assumptions & confidence
Data limitations and the strength of each finding made explicit.
Pilot flow
One building. Four practical checkpoints.
The first step is only a fit review. Utility documents are requested later when relevant and should be shared through the agreed secure process.
01
RequestShare the property and business goal.
02
ConfirmIdentify the data that would add value.
03
ReviewPrepare analysis and supporting context.
04
DiscussWalk through findings and next steps.
Complimentary pilot
Request pilot Start with the question that matters most.
Tell us about the building and the decision your team is trying to make. We will review pilot fit and the best next data step.