X Compose Utility AI
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Platform features

Every number needs
the right context.

Utility AI brings building data, regional pricing, weather, and operational events together—then turns the strongest signals into a clear management brief.

Request a complimentary pilot See the workflow

The depth of each finding depends on the data available.

Bills & usage01
Weather & rates02
Reviewed insight03
Core intelligence

From raw documents
to practical findings.

Start with recent bills and a basic building profile. Add deeper usage and operating information when it becomes available.

Bill and data intake

Structure billing periods, usage, fixed charges, delivery charges, and available interval records.

Regional rate context

Apply supported provider, municipal, and time-based pricing information to the right periods.

Weather-informed review

Compare heating and cooling-related changes with seasonal and temperature conditions.

Possible anomaly indicators

Surface unusual patterns that may deserve management or maintenance verification.

Cost and usage forecasts

Estimate what may come next using available history, rates, weather, and known changes.

Decision-ready reports

Present findings, evidence, assumptions, confidence, and practical next steps clearly.

Utility-specific analysis

One product.
Three distinct lenses.

Electricity, water, and gas do not behave the same way. The analysis adapts to what shapes cost and consumption for each utility.

Electricity

Rates, peaks, and load

Review how usage timing, pricing structure, and building loads influence the bill.

  • TOU, ULO, tiered, or supported rate plans
  • Peak and high-cost period review
  • Flexible-load opportunities
  • EV, electric heating, or cooling context
Water

Patterns, baselines, and possible leaks

Review monthly and overnight behaviour using building history and occupancy context.

  • Municipal billing information
  • Possible abnormal-use indicators
  • Occupancy-normalized comparison
  • Unit-level support where authorized
Gas & heating

Weather and system performance

Compare heating demand with conditions outside and known equipment information inside.

  • Heating-season consumption trends
  • Weather-informed comparison
  • Boiler and system context
  • Next-period forecast estimates
−4°CWeather-normalized
Within range
What shapes the analysis

A building is more
than a meter.

Each additional source helps distinguish an expected change from a pattern that deserves attention.

Bills & consumption

  • Electricity, water, and gas bills
  • Billing periods and total usage
  • Fixed, delivery, and consumption charges
  • Daily, hourly, or interval data when available

Location & pricing

  • Province or territory and city
  • Utility provider or municipality
  • Applicable rate-plan information
  • Effective dates, credits, and taxes

Weather & seasonality

  • Temperature and seasonal change
  • Heating and cooling demand
  • Cold snaps and heat waves
  • Forecast weather where relevant

Property profile

  • Units and approximate floor area
  • Year built and major renovations
  • Building type and common areas
  • Occupancy information when available

Systems & events

  • Heating, cooling, and hot water
  • Boilers, pumps, and ventilation
  • EV charging, solar, or storage
  • Maintenance, leaks, and retrofit events

Data quality

  • Actual versus estimated readings
  • Missing-period identification
  • Source and assumption tracking
  • Confidence indicators for findings
Evidence before explanation

Reliable calculation first. Clear AI-supported explanation second.

Cost calculations should use supported billing and rate logic. Analytical models can then help review trends, forecasts, and possible anomalies, while the output keeps the source, assumption, and confidence visible.

Structured inputsOrganize source data and quality.

01

Rate-based calculationApply supported pricing logic.

02

Analytical reviewEvaluate change and context.

03

Clear explanationPrioritize findings and actions.

04
Designed for management

Outputs that move
the conversation forward.

Give managers, owners, and boards the information needed to ask better questions and choose the next action.

Cost & usage trends

Separate patterns by utility, billing period, and relevant context.

Upcoming-period view

Forecast estimates with the factors and assumptions behind them.

Assumptions & confidence

Make data limitations and the strength of each finding explicit.

Complimentary pilot

Bring one building into focus.

Request a complimentary pilot and tell us which utility question matters most to your team.

Request pilot