General AI failed to parse 6,000 complex budget codes. A custom model now maps every line to green goals, cutting manual work by 30%.
A French municipality with a population that triples to 250,000 in summer manages 6,000 annual budgetary operations across diverse public services.
A new law mandated the classification of every budget line against environmental goals, but manual Excel processes were error-prone and unscalable....
“The ‘green’ budget is a perfect use case because it’s mandatory, time-consuming, and requires an understanding of French and the business context. General-purpose AI would produce poor results, as it doesn’t recognize budgetary codes or the acronyms we use. So, we had to train a specialized model—tiny LLMs—which works perfectly.”
City of Antibes's Budget compliance is part of this use case:
Municipal government and public administration for the city of Antibes.
SAP is an enterprise software company that provides comprehensive business solutions for data management and digital transformation across various industries.
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General AI failed to parse 6,000 complex budget codes. A custom model now maps every line to green goals, cutting manual work by 30%.
A French municipality with a population that triples to 250,000 in summer manages 6,000 annual budgetary operations across diverse public services.
A new law mandated the classification of every budget line against environmental goals, but manual Excel processes were error-prone and unscalable....
“The ‘green’ budget is a perfect use case because it’s mandatory, time-consuming, and requires an understanding of French and the business context. General-purpose AI would produce poor results, as it doesn’t recognize budgetary codes or the acronyms we use. So, we had to train a specialized model—tiny LLMs—which works perfectly.”
City of Antibes's Budget compliance is part of this use case:
Municipal government and public administration for the city of Antibes.
SAP is an enterprise software company that provides comprehensive business solutions for data management and digital transformation across various industries.
Related implementations across industries and use cases
Inspectors manually reviewed thousand-page construction applications. Now, AI flags code inconsistencies for final human review.
Staff spent two days manually hunting for legal codes. Secure AI agents now cross-reference millions of documents in two minutes.
Citizens struggled to navigate complex city departments. Now, an AI answers routine queries, freeing staff for complex, face-to-face care.
Inspectors manually reviewed thousand-page construction applications. Now, AI flags code inconsistencies for final human review.
Aligning 70k laws to OECD standards meant manual checks across languages. AI translates and flags gaps, cutting work from years to <1.
Deciphering 6M lines of 1970s code delayed modernization. Now, AI translates legacy logic into plain English for IT teams to validate.
New agents manually trawled complex file folders for answers. Now, they ask an AI assistant to instantly synthesize multi-source data.
Retrieving non-standard data took days of back-office requests. Executives now query AI in plain English for answers in seconds.
Routine administrative tasks once tied up human experts for entire days. AI now completes these workflows in just minutes.