The usual approach
Many charts, little action; definitions live in people’s heads; AI writes conclusions that are hard to audit.
Cross-Sector Solutions
EnergyX
Turn Energy Data into Operational Decisions
EnergyX helps property and facilities teams turn raw meter readings into reliable interval-consumption data, apply project-specific rules to produce periodic analysis, and surface priorities in a clear operational overview. AI can then support follow-up analysis within the same governed, read-only context.
01 — The Operating Problem
Numbers are not the same as knowing what to do first
01
Plenty of data, but no clear priorities
Reports run long, and leadership still asks: which three things should we handle this week?
02
Inconsistent definitions make findings difficult to reproduce
Spreadsheets, platforms and people each calculate differently; anomalies lack evidence and cannot be replayed next month.
03
AI generates activity, but not operational trust
If a model can rewrite the conclusion, it cannot enter a formal operations process.
02 — How It Works
From readings to action
01
Raw meter readings are ingested
Spreadsheet and platform sources are ingested, keeping usable raw and derived records.
02
Readings are standardised into reusable interval-consumption data
Cumulative readings become interval use, with completeness and quality status — trusted first, analysed second.
03
Analysis is generated against project-specific rules
Each project has its own structure, meter mapping and rules; the same rules can be rerun each month.
04
The operational overview surfaces decision priorities
Open the page for priorities, a summary, trends and evidence; official figures remain if the analysis service is unavailable.
05
AI supports follow-up analysis within the same read-only context
AI does not rewrite official figures. It explains and drills down within a locked project, scope, period and data version.
03 — Who Uses It
A decision page that is ready when you open it
Leadership
See priorities and impact first, instead of hunting anomalies in tables.
Facility managers
Drill from a recommendation to floor, circuit and data health, with evidence attached.
Implementation teams
Configure, publish and rerun by project; customers see only released results.
04 — Difference
Trust the data before adding intelligence
EnergyX
Trusted data and deterministic analysis first, then a decision page. AI is read-only; official figures are not rewritten by a model.
05 — Capabilities
Connect the data, run a period, surface priorities
- Energy data connectivity
Bring meter readings and project structure into one context.
- Monitoring and visibility
Interval energy, trends and data health can be checked.
- Analysis and anomaly insight
Rerun a period analysis on project rules, with evidence on anomalies.
- Priorities and reporting
Overview gives this period’s focus, a summary and a reusable report.
- Read-only AI follow-up
Explain and drill down in a locked data version without rewriting official figures.
06 — Contact
Where does your energy data stop being useful?
Start with one real business question.