Processes

What will AGI do for Perform back-testing?

A new predictive model is proposed, an existing model reaches its scheduled review date, or a regulatory mandate requires validation.

Trigger: A new predictive model is proposed, an existing model reaches its scheduled review date, or a regulatory mandate requires validation.
Outcome: The model's predictive accuracy is quantified against historical data, resulting in a validation report that either approves the model for use or mandates recalibration.

The work itself

Grounded Work Profile

Define the back-testing scope and extract relevant historical datasetsprocessProfile
Run the predictive model or strategy against the historical dataprocessProfile
Compare the model's generated predictions against actual historical outcomesprocessProfile
Calculate error margins, variance, and confidence intervalsprocessProfile
Investigate underlying causes for significant predictive deviations or breachesprocessProfile
Compile the validation report with findings and recalibration recommendationsprocessProfile

How AGI delivers it

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.
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Business-as-Code
Encode how your work runs, once, as software that executes itself.
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Value flow

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