How It Works
Building-specific utility insights shaped by location, climate and usage data.
X Compose Utility AI is designed to help Canadian property managers, condo boards, strata councils and building owners analyze electricity, water and gas performance using available utility bills, building details, regional rate information, weather conditions and operational context.
Start with Existing Data
Begin with recent bills and basic building information.
Add Regional Context
Consider location, provider and applicable rate structures.
Receive Practical Findings
Review assumptions, possible actions and reporting.
Workflow
A practical pilot process for one Canadian building.
The initial pilot is designed to begin without complex system integration. The analysis becomes more detailed as additional usage, building and operational data becomes available.
Provide Building Location
Submit the province or territory, city, postal code, building type and utility-provider information where available.
Add Building Details
Provide unit count, approximate year built, heating setup, common amenities and known equipment or renovation information.
Upload Utility Data
Upload electricity, water and gas bills. Historical, daily, hourly or interval usage files can be added when available.
Apply Regional Information
The analysis is designed to consider supported provincial, provider or municipal rate structures and effective pricing periods.
Review Weather and Usage
Usage patterns can be evaluated alongside seasons, temperature, heating or cooling demand and unusual consumption changes.
Prepare Findings and Report
Generate a management-ready summary with available observations, assumptions, confidence indicators and recommended next steps.
What Shapes the Analysis
Utility performance depends on more than the total bill.
A higher cost may come from increased usage, colder weather, rate changes, building systems, occupancy, equipment upgrades or data-quality issues. The platform is designed to consider these factors where information is available.
Location and Regional Rates
- Province or territory and city
- Utility provider or municipality
- Rate plan and effective rate period
- Taxes, credits or rebates where applicable
Bills and Consumption
- Electricity, water and gas bills
- Billing periods and consumption units
- Delivery, fixed and usage charges
- Interval data where available
Weather and Seasonality
- Outdoor temperature and seasonal demand
- Heating and cooling conditions
- Cold snaps or heat waves
- Forecast weather where relevant
Building Profile
- Unit count and approximate floor area
- Year built and major renovations
- Building type and shared areas
- Occupancy information where available
Systems and Equipment
- Heating and cooling systems
- Boilers and domestic hot water
- EV charging, solar or batteries
- Pools, laundry and amenity loads
Events and Data Quality
- Maintenance or equipment changes
- Leak repairs or renovation events
- Actual versus estimated readings
- Missing data and confidence indicators
Analysis Approach
Each utility type is reviewed using the factors that matter to it most.
Electricity may require rate-plan and peak-demand review. Water may require municipal pricing, occupancy and possible leak analysis. Gas and heating usage often requires weather and equipment context.
Electricity
Designed to review electricity cost and consumption using supported regional pricing and building-load context.
- Applicable rate-plan review
- Peak or high-cost period analysis
- Time-based pricing where available
- Flexible-load opportunities
- Electric heating or EV context later
Water
Designed to examine water consumption using municipal billing context, building history and occupancy information.
- Monthly consumption trends
- Municipal water-rate context
- Possible abnormal-usage indicators
- Estimated cost impact
- Submeter insights where authorized
Gas / Heating
Designed to review heating-related consumption using weather conditions, seasons and available system details.
- Heating-season usage trends
- Weather-informed comparison
- Boiler or heating-system context
- Next-period forecast estimates
- Possible efficiency risks for review
Behind the Insight
Reliable calculations first. AI-supported explanation second.
Official or supported rate information should be used for cost calculations. Analytical models can then help review trends, forecast usage, identify possible anomalies and explain findings in clear management language.
01
Structured Inputs
Organize building, billing, location, weather and operational data.
02
Rate-Based Calculation
Apply supported rate and billing logic instead of asking AI to guess costs.
03
Analytical Review
Evaluate trends, possible anomalies, forecasts and supporting factors.
04
Clear Explanation
Present observations, assumptions and possible actions in a readable report.
Reporting Output
The result is a usable management report, not a dashboard full of unexplained numbers.
Reports are intended to support property managers, building owners, condo boards and strata councils with clear observations and next steps.
Executive Summary
A concise overview of utility costs, important observations and items that may require attention.
Usage and Cost Trends
Available electricity, water and gas patterns organized across billing periods.
Regional Rate Context
Applicable rate-plan or municipal billing information where supported and relevant.
Weather-Informed Review
Assessment of heating or cooling-related usage using available climate context.
Possible Actions
Prioritized observations for verification, operational review or future investigation.
Assumptions and Confidence
Clear explanation of data limitations, assumptions and confidence indicators behind findings.
Pilot Timeline
A pilot can begin with one building and its available data.
The early pilot is intended to validate analysis quality and reporting value using real utility documents and building information.
Step 1
Submit Details
Provide building location, profile information and available utility documents.
Step 2
Prepare Dataset
Organize usage, cost, billing periods, rate information and supporting context.
Step 3
Review Findings
Evaluate patterns, possible abnormalities, forecast opportunities and assumptions.
Step 4
Receive Report
Receive a clear initial summary with observations and recommended next steps.
Start With One Canadian Building
Request a complimentary building-specific utility analysis pilot.
Provide available utility bills, location and basic building information. X Compose Utility AI is designed to prepare regional, weather-informed and property-specific reporting for management review.