Data from everywhere.
Energy bills, fuel cards, travel bookings and supplier data each arrive in a different format.
What are our emissions, by site?
Energy, fuel and travel data gathered from every site and supplier, turned into emissions and assembled into the report, with every number traceable to its bill or meter.
See it worked throughEmissions are reported.
Rarely traceable.
Sustainability figures are built from bills, meters and spreadsheets across every site. By the time they reach the report, nobody can show where a number came from.
Gaps filled by guesswork.
Missing months and sites are estimated by hand, and the estimates are rarely marked.
Auditors ask for proof.
Assurance needs the bill behind each figure, and finding it takes weeks.
What the AI reads.
Every bill, reading and record behind the emissions figures, read and converted with the factor that applies.
In
- Energy and water bills
- Meter and sub-meter readings
- Fuel cards and fleet records
- Travel bookings
- Supplier emissions data
- Emission factors
At work
- Sense Reads bills and readings however they arrive, from PDFs to meter exports.
- Understand Extracts quantities, units, dates and sites, and converts them to one standard.
- Check Checks each figure against the meter, last year and the site’s normal range.
- Anticipate Estimates missing months from each site’s own pattern, marked as estimates.
- Operate Assembles the report by site and scope, with every number linked to its source.
Out
Emissions by site and scope. Every number traceable to its bill or meter.
Every site counted.
Every number traceable.
The sustainability team sees emissions by site, which figures are measured, which are estimated and which need a look.
4 sites · 2 measured · 1 estimated · 1 to check
| Site | Source | Check | Detail | Tonnes CO2e |
|---|---|---|---|---|
| Leeds | Electricity and gas bills, July to September | Measured | Bills agree with meter readings | 412.6 |
| Bristol | Electricity bills, July to September | Measured | Bills agree with meter readings | 198.3 |
| Hull | Electricity, September bill missing | Estimated | September estimated from the site’s own pattern | 156.0 |
| Glasgow | Gas bills, July to September | To check | August usage three times the site’s normal range | 255.7 |
To check
August usage three times the site’s normal range.
Glasgow · Gas bills, July to September
Illustrative example. Sites, bills and figures are fictional.
Built for assurance.
The AI gathers and calculates. Your team signs off what is reported.
Every number traceable.
Each figure links to the bill, reading or record behind it, ready for the auditor.
How Check works ↗Estimates marked as estimates.
Gaps are filled from each site’s own pattern and labelled, never hidden.
How Anticipate works ↗Nothing reported automatically.
Figures and commentary wait for a person to approve them.
How Operate works ↗Same records.
Other questions.
The documents and data behind this work answer other questions too.
Why does month-end reporting take a week?
Reporting
Pull the figures together automatically, every number traced to its source.
See how →Can we trust these numbers?
Data quality
Find duplicates, gaps and records that disagree across systems.
See how →What does this new rule change for us?
Regulatory changes
Map new rules to what the business must change.
See how →Where is the evidence for the audit?
Audit evidence
Pull the proof together from every system.
See how →Bring us a quarter of energy bills from your sites.
We’ll turn them into emissions by site and show you which figures are measured, estimated or need a look.
Talk to us →LondonDiscovery AI Limited · United Kingdom
HyderabadReDscvry Technology Private Limited · India
ChennaiReDscvry Technology Private Limited · India