Every engagement follows the same core logic: understand first, then build. Carbon data is only valuable if it’s grounded in how the organization actually operates — not just what the reporting framework asks for.
Discover
Understand the organization before building anything.
Review operational boundaries and business activities
Map available data sources and identify gaps
Understand reporting timelines and stakeholder needs
Clarify what decisions the carbon data needs to support
Structure
Build a defensible framework before running a single calculation.
Select and document the appropriate methodology
Define organizational and operational boundaries
Establish calculation logic that can be explained and audited
Design the data architecture for the inventory or model
Analyze
Turn structured data into insight.
Calculate emissions by source, scope, and category
Identify hotspots and material emissions sources
Model scenarios and reduction opportunities
Stress-test assumptions and validate against benchmarks
Communicate
Deliver outputs that teams can use, explain, and build on.
Reporting-ready data formatted for relevant frameworks
Clear methodology documentation
Internal summaries for operations and leadership
Tools or models the team can maintain going forward