[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"branding":3,"analytics":7,"article-chatham-financial-cuts-trade-checks-with-openai-tools":10,"sections":35},{"siteName":4,"siteTagline":5,"publisherName":4,"contactEmail":6},"The Revision","Tech news, decoded.","editor@therevision.news",{"gaMeasurementId":8,"adsenseClientId":9},"G-ZW2MV82GYR","ca-pub-8533917693782264",{"article":11},{"id":12,"slug":13,"title":14,"dek":15,"body_md":16,"tags_json":17,"published_at":18,"created_at":19,"updated_at":20,"status":21,"review_note":22,"review_notes":23,"image_url":22,"persona_id":22,"persona_name":22,"section":24,"tags":25,"sources":30,"feedback":34,"feedback_at":22,"cost_usd":34,"total_tokens":34},9850,"chatham-financial-cuts-trade-checks-with-openai-tools","Chatham Financial Cuts Trade Checks With OpenAI Tools","The derivatives firm says Codex and GPT-5.6 shrank a 30-minute trade validation process to under four minutes, part of a broader OpenAI enterprise push.","Chatham Financial says OpenAI's tools cut one of its slowest manual checks down to minutes.\n\nThe derivatives and capital markets advisory firm used Codex and GPT-5.6 to build internal software and redesign its workflows. The headline number: a trade validation process that used to take 30 minutes now takes under four. Codex handled the technical build; GPT-5.6 was used across the broader workflow redesign. Missing from the announcement are the basics that would let anyone judge the claim - trade volume, build cost, or how much human review still sits behind that four-minute mark.\n\nTrade validation is a rules-heavy, repetitive task - precisely the kind of work large language models are good at, and precisely the kind vendors like to showcase because the before-and-after numbers look dramatic. A time cut that steep on one internal process says less about AI capability broadly than about how much manual busywork capital-markets back offices still run on spreadsheets and email.\n\nIt's also another entry in OpenAI's growing stack of enterprise customer stories, each pairing a steep efficiency number with thin operational detail - a format that says more about OpenAI's enterprise sales pitch than about independently verified results.","[\"openai\",\"codex\",\"enterprise ai\",\"finance\"]","2026-10-02T00:00:00.000Z","2026-10-05T10:12:54.425Z","2026-10-05T10:13:00.312Z","published",null,[],"ai",[26,27,28,29],"openai","codex","enterprise ai","finance",[31],{"name":32,"url":33},"OpenAI","https:\u002F\u002Fopenai.com\u002Findex\u002Fchatham-financial",0,{"sections":36},[37,41,45,50,55,60,64,69,74,79,84,89,94,99],{"name":38,"slug":24,"count":39,"latest_published_at":40},"AI",6152,"2026-10-05T04:00:00.000Z",{"name":42,"slug":43,"count":44,"latest_published_at":40},"Security","security",859,{"name":46,"slug":47,"count":48,"latest_published_at":49},"Policy","policy",444,"2026-10-03T15:02:01.000Z",{"name":51,"slug":52,"count":53,"latest_published_at":54},"Deals","deals",323,"2026-10-04T13:00:00.000Z",{"name":56,"slug":57,"count":58,"latest_published_at":59},"Hardware","hardware",204,"2026-10-03T14:50:50.000Z",{"name":61,"slug":62,"count":63,"latest_published_at":40},"Science","science",177,{"name":65,"slug":66,"count":67,"latest_published_at":68},"Consumer Tech","consumer-tech",158,"2026-10-03T03:21:12.000Z",{"name":70,"slug":71,"count":72,"latest_published_at":73},"Software","software",97,"2026-10-04T10:00:00.000Z",{"name":75,"slug":76,"count":77,"latest_published_at":78},"Dev Tools","dev-tools",96,"2026-10-01T16:57:03.000Z",{"name":80,"slug":81,"count":82,"latest_published_at":83},"Startups","startups",92,"2026-10-04T14:36:25.000Z",{"name":85,"slug":86,"count":87,"latest_published_at":88},"Gaming","gaming",53,"2026-10-02T02:50:39.000Z",{"name":90,"slug":91,"count":92,"latest_published_at":93},"General","general",51,"2026-10-05T02:35:01.000Z",{"name":95,"slug":96,"count":97,"latest_published_at":98},"Reviews","reviews",32,"2026-10-02T18:00:00.000Z",{"name":100,"slug":101,"count":102,"latest_published_at":103},"How-To","how-to",7,"2026-10-01T09:00:00.000Z"]