Processes

Measure sustainability performance

How measure sustainability performance are reshaped as AGI capability advances.

ProcessesMeasure sustainability performance
Measure sustainability performance — illustrated

The bottom line

Roughly 80% of the work in Measure sustainability performance is information-shaped — already within reach of AI delivery. The question here is not whether it shifts, but which tasks go first and who staffs the residual.

Why: The strongest signal is the APQC Lens ('Develop, Manage, and Deliver Analytics'), which sets a highly digital baseline for data processing work. The description confirms this involves primarily knowledge work, citing the setup, collection, and validation of sustainability data, alongside evaluating targets and tracking gaps. The inclusion of 'conduct audits and inspections' introduces a slight physical component, keeping the scalar in the lower end of the digital band.

grounded in the economy graph · digital scalar 0.80 · digital

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How the work flows

Trigger: A scheduled reporting period or stakeholder request initiates the need for sustainability performance evaluation.

  1. Define parameters and metrics for sustainability data collection
  2. Gather operational and environmental data from internal and external sources
  3. Validate the accuracy and completeness of the collected data
  4. Conduct physical audits and compliance inspections
  5. Evaluate performance results against sustainability targets and regulatory requirements
  6. Identify performance variances and compliance gaps
  7. Track the resolution and remediation of identified issues

Outcome: Sustainability data is validated, compared against established targets, and performance gaps are identified and tracked for resolution.

Measured by

Data Collection Cycle TimeAudit Completion RateTarget Variance PercentageGap Resolution Time