Processes

What will AGI do for Measure forecast accuracy?

AI-deliverabilitydigital

With no child occupations seeded, the score is derived from the PCF category lens 'Manage service delivery resources' and the process description. The work defined—'Analyzing forecasting against actuals' and modifying forecasts—is pure information transformation and data analysis. Because this process consists entirely of remotely-doable knowledge work executed via software, the scalar is placed firmly in the digital band.

The completion of a reporting period makes actual performance data available for comparison against prior projections.

Trigger
The completion of a reporting period makes actual performance data available for comparison against prior projections.
Outcome
Variances are quantified, root causes of deviations are identified, and forecasting models are adjusted to improve future accuracy.

The work itself

Grounded Work Profile

Measured by

  • Mean Absolute Percentage ErrorprocessProfile
  • Forecast BiasprocessProfile
  • Forecast Value AddedprocessProfile
  • Root Mean Square ErrorprocessProfile

Key steps

  • Extract baseline forecast data for the evaluated periodprocessProfile
  • Collect actual performance data from operational systemsprocessProfile
  • Calculate variances and statistical error ratesprocessProfile
  • Analyze root causes for significant deviationsprocessProfile
  • Calibrate forecasting models and update parametersprocessProfile
  • Distribute accuracy reports to planning teamsprocessProfile

How AGI delivers it

Four ways AGI delivers for Measure forecast accuracy

  • Autonomous Agents as digital employees

    Hire a digital employee that does the job under earned, supervised autonomy.

    Agents.do
  • Services-as-Software

    Get the professional outcome delivered as software, priced on results, not headcount.

    Services.do
  • Business-as-Code

    Encode how your work runs, once, as software that executes itself.

    Platform.do