{"id":"AIBD-1191","title":"Tokyo Shimbun reports that Nerima Ward's Fujitsu-built unpaid-tax support AI cut asset searches to 3 minutes and arrears by over 400 million yen","summary":"Tokyo Shimbun reports that Nerima Ward's unpaid-tax support AI cut asset investigations from about 30 minutes to about 3 minutes per case and that arrears fell by more than 400 million yen a year.","date_observed":"2026-10-30","date_basis":"source publication","date_precision":"day","benefit_status":"reported","source_collection":null,"source_entry":null,"account":"Nerima Ward in Tokyo collects residents' tax and national health insurance premiums, with arrears of over 2 billion yen a year and about 35,000 people in arrears. Its revenue section proposed an AI to Fujitsu Japan, which supplies the ward's core system, and the two developed the 未納対策支援AI (unpaid-tax support AI). The ward announced on 27 March 2024 that it would start on 1 April 2024, as the first in Japan. The AI learns from data on people in arrears and from veteran staff know-how. It proposes which bank or credit union branches to query for a person's assets, and a second system estimates case difficulty and matches cases to staff skill. Tokyo Shimbun reported on 30 October 2026 from an interview with the section's head. The asset-search work per case fell from about 30 minutes to about 3 minutes, and annual arrears fell by more than 400 million yen. Staff still decide the queries and any seizure. The figures are the ward's own, with no outside audit, and the article is paywalled beyond its opening.","category":"aggregate result","unexpected":false,"purpose":"Nerima Ward and Fujitsu Japan built the unpaid-tax support AI to propose the best places to search for a delinquent taxpayer's assets and to match cases to staff by difficulty.","system":"未納対策支援AI (unpaid-tax support AI: asset-search target optimization and case-difficulty matching systems)","model_version":null,"developer":"Nerima Ward with Fujitsu Japan","deployer":"Nerima Ward, Tokyo (revenue section)","location":"Nerima Ward, Tokyo, Japan","domain":"Tax compliance","segment":null,"benefit_type":"Reduced Task Time","work_activities":["4.A.2.a.4","4.A.2.b.6"],"taxonomy_note":null,"registry_ids":{},"ratings":[{"group":"organizational","depth":2,"reason":"The ward reports that asset-search work fell from about 30 to about 3 minutes per case and that arrears fell by more than 400 million yen a year."},{"group":"personal","depth":null,"reason":"The ward says that faster work lets it spot hardship behind arrears earlier, but the article gives no figures for that."}],"ai_role":{"status":"unassessed","statement":"The ward's figures compare work time before and after the AI, with no control group. The arrears reduction may have other causes, since staff still choose the queries and carry out seizures. The ward's release says that the AI learns from past asset-search records and veteran staff know-how."},"evidence":[{"kind":"news report","citation":"奥野斐 (2026). 練馬区の税滞納が4億円減った データ分析とベテランの技学習...AIで税務が劇的進化. Tokyo Shimbun, 30 October 2026.","title":"練馬区の税滞納が4億円減った データ分析とベテランの技学習...AIで税務が劇的進化","url":"https://www.tokyo-np.co.jp/article/524835","date":"2026-10-30","written_by":"independent","quote":"滞納額は年4億円超も減った。"},{"kind":"news report","citation":"奥野斐 (2026). 練馬区の税滞納が4億円減った データ分析とベテランの技学習...AIで税務が劇的進化. Tokyo Shimbun, 30 October 2026. On the time per case.","title":"練馬区の税滞納が4億円減った データ分析とベテランの技学習...AIで税務が劇的進化","url":"https://www.tokyo-np.co.jp/article/524835","date":"2026-10-30","written_by":"independent","quote":"導入前には滞納案件1件に平均約30分かかった作業は、約3分まで短縮した。"},{"kind":"press release","citation":"練馬区 (Nerima Ward) (2024). 練馬区と富士通Ｊａｐａｎで共同開発した\"未納対策を支援するＡＩ\"を全国で初めて開始します. Press release, 27 March 2024.","title":"練馬区と富士通Ｊａｐａｎで共同開発した\"未納対策を支援するＡＩ\"を全国で初めて開始します","url":"https://www.city.nerima.tokyo.jp/kusei/koho/hodo/r6/r603/20240327.files/20240327.pdf","date":"2024-03-27","written_by":"deployer","quote":"過去の財産調査の作業記録をＡＩに学習させて難易度を推定し","supports_benefit":false}],"replication":{"produced_by":["The AI was trained on records of past asset searches and on veteran staff know-how, and it proposed candidate banks and branches to query for each case.","Staff judged the proposals, queried the institutions and seized assets where found."],"must_hold":["The ward must keep feeding new cases to the AI, as its release says it will.","Staff must still judge the proposals and carry out the queries and seizures."],"echoes":[]},"paired_incident":null,"headline":"Nerima's *unpaid-tax support AI* cuts asset searches to 3 minutes","metric":"from about 30 minutes to about 3 minutes per case","comparator":{"against":"Asset-search work per case before the AI","before":"about 30 minutes per case","after":"about 3 minutes per case","basis":"measured","quote":"導入前には滞納案件1件に平均約30分かかった作業は、約3分まで短縮した。","url":"https://www.tokyo-np.co.jp/article/524835"},"later":null,"benefit_dimensions":["economic","functional"],"benefit_categories":["operational_improvement"],"scsp_example":"Enhanced productivity","size":{"reach":{"band":1,"fact":"One local government, Tokyo's Nerima Ward, uses the AI in its tax collection work.","quote":"人手不足の中、東京都練馬区は全国で初めて、住民税などの滞納者に対する財産調査に人工知能（AI）を導入し、成果を出している。","url":"https://www.tokyo-np.co.jp/article/524835","reason":null},"duration":{"band":4,"fact":"The ward brought in the AI in 2024, and the paper reported its gains more than two years later, in October 2026.","quote":"ノウハウの引き継ぎや、課全体の業務効率化のため区は2024年、財産調査と、職員の習熟度に応じて業務を振り分けるシステムを入れた「未納対策支援AI」を導入した。","url":"https://www.tokyo-np.co.jp/article/524835","reason":null},"distribution":{"band":null,"fact":null,"quote":null,"url":null,"reason":"The ward says that faster work helps it spot hardship behind arrears, but the sources give no figures on which residents gained."},"frequency":{"band":null,"fact":null,"quote":null,"url":null,"reason":"The sources give the time saved on each asset search but not how many searches the ward runs."}},"value":{"amount":"4億円超","what":"the fall in the ward's annual arrears of residents' tax and national health insurance premiums","who":"Nerima Ward","estimate":false,"quote":"滞納額は年4億円超も減った。","url":"https://www.tokyo-np.co.jp/article/524835"},"developer_country":"Japan","deployer_country":"Japan","unrated_because":null,"brief_notes":null,"brief":null,"revisions":[{"date":"2026-11-01","change":"Added the record from the report of Tokyo Shimbun.","source":"https://www.tokyo-np.co.jp/article/524835","editor":"AIBD"},{"date":"2026-11-01","change":"Placed the benefit under its broad categories and recorded its reach, duration, distribution and frequency from its sources.","source":null,"editor":"AIBD"}],"confidence":"reported","shade":"medium","claim_status":"Independently reported","claim_basis":"Sources: one independent news report and the deployer's press release. 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