case study 05 / 05 — energy & utilities

esg compliance reporting, fully automated

csrd-grade emissions and resource reporting, collected from source systems and reconciled automatically — with every figure traceable.

client
a regional energy utility
sector
energy & utilities ↗
duration
5 months
team
4 engineers, 1 data engineer, 1 sustainability analyst
the result, in numbers
300+hours saved per reporting cycle
100%of reported figures traceable to source
3 daysfrom period close to draft report
the brief

sustainability reporting was assembled by hand from metering, fleet, procurement, and hr systems — hundreds of spreadsheets per cycle, with auditors questioning the lineage of every other number.

new csrd obligations were about to multiply the scope, with no extra headcount.

the build

20 weeks, 4 phases, one team.

  1. 01scope3 weeks

    datapoints mapped to esrs requirements and source systems.

  2. 02pipeline8 weeks

    automated collection, validation, and emission-factor calculation.

  3. 03narrative6 weeks

    draft disclosures generated with citations to the underlying data.

  4. 04assure3 weeks

    dry-run with the external auditor, controls documented.

before
  • hundreds of spreadsheets per cycle
  • manual emission factors
  • lineage questioned at audit
  • reporting took six weeks
after
  • one governed reporting model
  • versioned factors, auto-applied
  • every figure traced to source
  • draft in three days
the auditors asked where a number came from, and we clicked on it. that conversation used to take a week.
— head of sustainability, a regional energy utility
the result

data flows from source systems into a governed reporting model every month. the sustainability team reviews anomalies and edits drafted disclosures instead of chasing spreadsheets.

the first automated cycle passed limited assurance with no material findings on data lineage.

practices
stack
  • python
  • dbt
  • snowflake
  • anthropic
  • power bi
  • azure
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