{"id":"AIBD-0690","title":"Cour des comptes finds that the DGFiP's TAAP software let accountants check 31.9% fewer payment requests while finding more errors","summary":"The Cour des comptes found that the DGFiP's TAAP software let accountants check 31.9% fewer payment requests, while errors found on AI-analyzed requests rose from 1.65% to 8.53%.","date_observed":"2023-01-01","date_basis":"event","date_precision":"year","benefit_status":"reported","source_collection":null,"source_entry":null,"account":"French public accountants check payment requests before the state pays. The Direction générale des Finances publiques (DGFiP) built TAAP to point them to the riskiest requests. It combines business rules with a model trained on the previous three years of check results, and it keeps learning. The aim was to check 30% fewer requests while finding more errors. At the end of 2023, after three years of use, the DGFiP reported that checked requests had fallen by 31.9%. Errors were found in 6.16% of requests, against 2.55% before the system. On requests that the AI analyzed, the rate was 8.53%, against 1.65% in the year before TAAP. In observations published on 21 January 2025, the Cour des comptes concluded that the software is an effective aid to accounting services. 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Mieux suivre et valoriser les gains de productivité de l’État issus du numérique. Observations définitives S2024-1570, adopted 5 December 2024 and published 21 January 2025, pp. 60-61.","title":"Mieux suivre et valoriser les gains de productivité de l’État issus du numérique","url":"https://www.ccomptes.fr/sites/default/files/2025-01/20250121-S2024-1570_Mieux-suivre-et-valoriser-les-gains-de-productivite-de-lEtat-issus-du-num--rique_0.pdf","date":"2025-01-21","written_by":"independent","quote":"Sur le seul périmètre des DP analysées par l’IA, le taux d’erreurs détectées est très supérieur à celui de l’année pré-TAAP (8,53 % contre 1,65 %, soit un facteur multiplicatif de 5,2). Le logiciel est donc un auxiliaire performant des services comptables."}]}},"provenance":{"kind":"legacy_record","basis":"Editorial assignment.","record_fields":["evidence"],"source_refs":[]},"review_state":"record_mapped","coverage":"partial"},"sources[].upstream_sources":{"state":"unresolved","provenance":{"kind":"curatorial","basis":"Editorial assignment.","record_fields":[],"source_refs":[]},"reason":"This is an explicit unresolved assignment: the sources on record do not settle this question.","review_state":"not_assessed","coverage":"partial"},"strategic_assessments[]":{"state":"unresolved","review_state":"not_assessed","coverage":"partial","family":"strategic assessments"},"summary":{"state":"value_present","value":{"kind":"record_fields","fields":{"summary":"The Cour des comptes found that the DGFiP's TAAP software let accountants check 31.9% fewer payment requests, while errors found on AI-analyzed requests rose from 1.65% to 8.53%.","account":"French public accountants check payment requests before the state pays. The Direction générale des Finances publiques (DGFiP) built TAAP to point them to the riskiest requests. It combines business rules with a model trained on the previous three years of check results, and it keeps learning. The aim was to check 30% fewer requests while finding more errors. At the end of 2023, after three years of use, the DGFiP reported that checked requests had fallen by 31.9%. Errors were found in 6.16% of requests, against 2.55% before the system. On requests that the AI analyzed, the rate was 8.53%, against 1.65% in the year before TAAP. In observations published on 21 January 2025, the Cour des comptes concluded that the software is an effective aid to accounting services. 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The Direction générale des Finances publiques (DGFiP) built TAAP to point them to the riskiest requests. It combines business rules with a model trained on the previous three years of check results, and it keeps learning. The aim was to check 30% fewer requests while finding more errors. At the end of 2023, after three years of use, the DGFiP reported that checked requests had fallen by 31.9%. Errors were found in 6.16% of requests, against 2.55% before the system. On requests that the AI analyzed, the rate was 8.53%, against 1.65% in the year before TAAP. In observations published on 21 January 2025, the Cour des comptes concluded that the software is an effective aid to accounting services. The figures come from the DGFiP's own assessment.","replication":{"produced_by":["Business rules flagged categories of requests with frequent errors or high financial stakes.","A model trained on three years of past checks ranked the other requests and kept learning."],"must_hold":["Accountants must concentrate their checks on the requests that the system flags."],"echoes":[]}}},"provenance":{"kind":"legacy_record","basis":"Editorial assignment.","record_fields":["account","replication"],"source_refs":[]},"review_state":"record_mapped","coverage":"partial"}},"summary":{"total":91,"addressed":91,"known":28,"reviewed":2,"reviewed_complete":2,"reviewed_partial":0,"record_mapped":26,"review_not_assessed":63,"not_assessed":0,"complete":false,"by_state":{"value_present":28,"not_reported":0,"unresolved":63,"not_assessed":0,"not_applicable":0,"withheld":0,"source_unavailable":0}}},"presentation_version":"8402981d9bbe6d1faa5696991cce3649c22c3de6f735911d7cd35987471424f4"}