{"id":35236,"date":"2025-06-13T14:38:35","date_gmt":"2025-06-13T05:38:35","guid":{"rendered":"https:\/\/smallake.kr\/?p=35236"},"modified":"2025-06-13T14:38:35","modified_gmt":"2025-06-13T05:38:35","slug":"%ec%9a%94%ec%a6%98-ai-%ec%9a%94%ec%a6%98-%ec%9b%94%ec%8a%a4%ed%8a%b8%eb%a6%ac%ed%8a%b8-agentic-bank","status":"publish","type":"post","link":"https:\/\/smallake.kr\/?p=35236","title":{"rendered":"\uc694\uc998 AI, \uc694\uc998 \uc6d4\uc2a4\ud2b8\ub9ac\ud2b8 &#8211; Agentic Bank"},"content":{"rendered":"<p>\ud540\ud14c\ud06c \uc5f4\ud48d\uc758 \uc2dc\uc791\uc740 \uc6d4\uc2a4\ud2b8\ub9ac\ud2b8\uc785\ub2c8\ub2e4. IT\uae30\uc220\uc744 \ud1b5\ud55c \uae08\uc735\ube44\uc9c0\ub2c8\uc2a4\ub97c \ubc14\uafb8\ub294 \uc2dc\ub3c4\ub4e4\uc774 \uac70\ub300\ud55c \ud0dc\ud48d\uc73c\ub85c \ubc14\ub010 \ud6c4 \ud55c\uad6d\ub3c4 \ud558\ub098\uc529 \ub458\uc529 \ubc14\ub00c\uc5b4\ub098\uac14\uc2b5\ub2c8\ub2e4. AI\ub3c4 \ube44\uc2b7\ud560 \ub4ef \ud569\ub2c8\ub2e4. AI \ub3c4\uc785\uc744 \ubcf8\uaca9\ud654\ud55c \uc9c0\uae08 \uae08\uc735\uc0b0\uc5c5\uc5d0\uc11c\uc758 AI\uc758 \ubbf8\ub798\ub294 \uc6d4\uc2a4\ud2b8\ub9ac\ud2b8\uac00 \ubcf4\uc5ec\uc904 \ub4ef \ud569\ub2c8\ub2e4. \uadf8\ub798\uc11c Evident The Brief\ub97c \ubc1b\uc544\ubcf4\uace0 \uc788\uc2b5\ub2c8\ub2e4. \uad00\ub828\ud55c \ub0b4\uc6a9\uc744 \uc77d\uc73c\uba74\uc11c \uc6d4\uc2a4\ud2b8\ub9ac\ud2b8\uc5d0\uc11c AI\ub97c \uc5b4\ub5bb\uac8c \ubc14\ub77c\ubcf4\uace0 \ud65c\uc6a9\ud558\ub294\uc9c0\ub97c \uc774\ud574\ud558\uace0 \uc788\uc2b5\ub2c8\ub2e4. &#8220;\uc694\uc998 AI, \uc694\uc998 \uc6d4\uc2a4\ud2b8\ub9ac\ud2b8&#8221;\ub294 \ub274\uc2a4\ub808\ud130\uc911 \uac19\uc774 \ub098\ub204\uba74 \uc88b\uc744 \ub4ef \ud55c \ub0b4\uc6a9\uc744 \uc815\ub9ac\ud574\ubcf4\ub824\uace0 \ud569\ub2c8\ub2e4.<\/p>\n<p>1.<br \/>\nDeepSeek\uc758 \uc601\ud5a5\uc77c\uae4c\uc694?<\/p>\n<p>Anthropic\uc640 OpenAI\uac00 \uace0\ube48\ub3c4\ud2b8\ub808\uc774\ub354\ub098 \ud000\ud2b8\ub97c \ucc44\uc6a9\ud558\uaca0\ub2e4\uace0 \ud569\ub2c8\ub2e4. 2\ucc28\ub300\uc804\uc774\ud6c4 \ud3ed\ubc1c\uc801\uc778 \uc218\uc694\uac00 \uc788\uc5c8\ub358 \ubb3c\ub9ac\ud559\uc790. \ub0c9\uc804\uc774\ud6c4 \uc774\ub4e4\uc744 \ucc3e\uc740 \uacf3\uc774 \uc6d4\uc2a4\ud2b8\ub9ac\ud2b8. \uace0\ube48\ub3c4\ub9e4\ub9e4\uc640 \uc54c\uace0\ub9ac\uc998\ud2b8\ub808\uc774\ub529\uc774 \uc8fc\ub958\uac00 \ub418\uba74\uc11c \uc218\ud559,\ubb3c\ub9ac\ud559 \ud639\uc740 IT\ubd84\uc57c\uc758 \uc6b0\uc218\uc778\ub825\uc744 \ud729\uc4f8\uc5c8\uc2b5\ub2c8\ub2e4. AI\uac00 \uc8fc\ub958\uac00 \ub418\uba74\uc11c \uace0\ube48\ub3c4\ub9e4\ub9e4\ub97c \ud1b5\ud574 \ucd5c\uc801\ud654\uc758 \uacbd\ud5d8\uc744 \uac00\uc9c4 \uc774\ub4e4\uc744 \ucc3e\ub294\ub2e4\uace0 \ud569\ub2c8\ub2e4. \uc6d4\uc2a4\ud2b8\ub9ac\uc5d0\uc11c \ub2e4\uc2dc \uc2e4\ub9ac\ucf58\ubc38\ub9ac(Bay Area)\ub85c \uc778\ub825\uc774 \uc774\ub3d9?<\/p>\n<p>\uc54c\ud2b8\ub9cc\uc774 \ud2b8\uc704\uc5d0 \uc62c\ub9b0 \uae00\uc785\ub2c8\ub2e4.<\/p>\n<blockquote><p>Work in HFT shaving nanoseconds off latency or extracting bps from models have existential dread..<br \/>\nSee this tweet, wonder if your skills could be better used making AGI. Apply to attend this party, meet the openai team.<\/p>\n<p>Build AGI.<\/p><\/blockquote>\n<p>Anthropic\uc758 \ucc3d\uc5c5\uc790\ub294 \uc774\ub7f0 \ud2b8\uc717\uc744 \uc62c\ub838\uc2b5\ub2c8\ub2e4.<\/p>\n<blockquote><p>Anthropic&#8217;s hosting a social in NYC in mid-June for quants interested in a career jump. Sign up link below!I was a quant trader for 4y, retired 2y, then Anthropic for 4y. Quant trading and retirement were good; Anthropic has been great<\/p><\/blockquote>\n<p>&#8220;existential dread&#8221;\ub77c\ub294 \uc5b4\ub824\uc6b4 \ud45c\ud604\ub3c4 \ubc30\uc6b0\ub124\uc694 \u3160\u3160\u3160\u3160\u3160<\/p>\n<p>2.<br \/>\n<a href=\"https:\/\/evidentinsights.com\/bankingbrief\/banks-go-agentic\" target=\"_blank\" rel=\"noopener\">Banks go agentic<\/a><\/p>\n<p>\uc704 \ud45c\ud604\uc744 \uc0ac\uc6a9\ud558\ub294 \uc774\uc720\ub97c \uc54c\ub824\uace0 \ud558\uba74 Agentic \uc774\ub77c\ub294 \ud45c\ud604\uc744 \uac19\uc774 \uc54c\uc544\uc57c \ud569\ub2c8\ub2e4. Agentic AI\uc640 Agnetic Application\uacfc \uac19\uc774 Agentic\uc744 \ubd99\uc5ec\uc11c \uc0ac\uc6a9\ud569\ub2c8\ub2e4. \uc65c \uc774\ub7f0 \ud45c\ud604\uc744 \uc0ac\uc6a9\ud560\uae4c\uc694? AI\ub97c \uae30\uc5c5\uc5d0 \ub3c4\uc785\ud55c \uc0ac\ub840\ub97c \uc18c\uac1c\ud558\ub294 \uc790\ub8cc\uc5d0 \uc790\uc8fc \ub4f1\uc7a5\ud558\ub294 \ud45c\ud604\uc774 &#8221; Generative AI&#8221;\uc785\ub2c8\ub2e4. \ubcf4\ud3b8\uc801\uc774\ub77c\ub294 \ub73b\uc740 \uac00\uc9c4 Generative\ub97c \uc0ac\uc6a9\ud569\ub2c8\ub2e4. \uae30\uc5c5\uc774 AI\ub97c \ub3c4\uc785\ud558\uace0\uc790 \ud560 \ub54c \uad6c\uccb4\uc801\uc778 \ubaa9\ud45c\ub97c \uac00\uc9d1\ub2c8\ub2e4. \ube44\uc6a9\uc744 \uc808\uc57d\ud558\uace0 \uc0dd\uc0b0\uc131\uc758 \ud5a5\uc0c1\uc744 \ub178\ub9bd\ub2c8\ub2e4. \uc774\ub97c \uc704\ud574 \ubb34\uc5b8\uac00 GenAI\uc640 \ub2e4\ub978 \uac83\uc774 \ud544\uc694\ud569\ub2c8\ub2e4. \uadf8\ub798\uc11c Agentic AI\ub77c\ub294 \uac1c\ub150\uc744 \ub9cc\ub4e4\uc9c0 \uc54a\uc558\uc744\uae4c \ud569\ub2c8\ub2e4. NVIDIA\uac00 \uc0dd\uac01\ud558\ub294 Agentic AI\uc785\ub2c8\ub2e4. \uc81c\uac00 \uc544\ub798\uc5d0\uc11c \ub208\uc5ec\uac70 \ubcf8 \uac83\uc740 &#8220;\uc790\uc728\uc801\uc73c\ub85c&#8221;\uc785\ub2c8\ub2e4. \uc601\uc5b4\ub85c \ud560 \ub54c autonoy&#8221;\uc785\ub2c8\ub2e4. autonomy\uc640 agent\uac00 \uac19\uc774 \uacb0\ud569\ud55c \uc758\ubbf8\ub85c \uc77d\ud799\ub2c8\ub2e4.<\/p>\n<blockquote><p>AI\uc758 \ub2e4\uc74c \uc601\uc5ed\uc740 \uc5d0\uc774\uc804\ud2f1 AI(Agentic AI)\uc785\ub2c8\ub2e4. \uc815\uad50\ud55c \ucd94\ub860\uacfc \ubc18\ubcf5\uc801\uc778 \uacc4\ud68d\uc744 \uc0ac\uc6a9\ud574 \ubcf5\uc7a1\ud55c \ub2e4\ub2e8\uacc4 \ubb38\uc81c\ub97c \uc790\uc728\uc801\uc73c\ub85c \ud574\uacb0\ud558\ub294 \uac83\uc774\uc8e0. \uc774\ub294 \uc0b0\uc5c5 \uc804\ubc18\uc758 \uc0dd\uc0b0\uc131\uacfc \uc6b4\uc601\uc744 \ud5a5\uc0c1\uc2dc\ud0ac \uac83\uc73c\ub85c \uae30\ub300\ub429\ub2c8\ub2e4.\uc5d0\uc774\uc804\ud2f1 AI \uc2dc\uc2a4\ud15c\uc740 \uc5ec\ub7ec \ucd9c\ucc98\ub85c\ubd80\ud130 \ubc29\ub300\ud55c \uc591\uc758 \ub370\uc774\ud130\ub97c \uc218\uc9d1\ud574 \ub3c5\ub9bd\uc801\uc73c\ub85c \ubb38\uc81c\ub97c \ubd84\uc11d\ud558\uace0 \uc804\ub7b5\uc744 \uac1c\ubc1c\ud569\ub2c8\ub2e4. \ub610\ud55c \uacf5\uae09\ub9dd \ucd5c\uc801\ud654, \uc0ac\uc774\ubc84 \ubcf4\uc548 \ucde8\uc57d\uc131 \ubd84\uc11d, \uc758\uc0ac\ub4e4\uc758 \uc2dc\uac04 \uc18c\ubaa8\uc801\uc778 \uc5c5\ubb34\ub97c \ub3d5\ub294 \uc791\uc5c5 \ub4f1\uc744 \uc218\ud589\ud569\ub2c8\ub2e4<\/p><\/blockquote>\n<blockquote><p>\uc5d0\uc774\uc804\ud2f1 AI \uc791\ub3d9 \ud504\ub85c\uc138\uc2a4:\uc5d0\uc774\uc804\ud2f1 AI\ub294 \ubb38\uc81c \ud574\uacb0\uc744 \uc704\ud574 4\ub2e8\uacc4 \ud504\ub85c\uc138\uc2a4\ub97c \uc0ac\uc6a9\ud569\ub2c8\ub2e4.<\/p>\n<p>\uc778\uc2dd(Perceive): AI \uc5d0\uc774\uc804\ud2b8\ub294 \uc13c\uc11c, \ub370\uc774\ud130\ubca0\uc774\uc2a4, \ub514\uc9c0\ud138 \uc778\ud130\ud398\uc774\uc2a4 \ub4f1 \ub2e4\uc591\ud55c \ucd9c\ucc98\uc5d0\uc11c \ub370\uc774\ud130\ub97c \uc218\uc9d1\ud558\uace0 \ucc98\ub9ac\ud569\ub2c8\ub2e4. \uc5ec\uae30\uc5d0\ub294 \uc758\ubbf8 \uc788\ub294 \ud2b9\uc9d5\uc744 \ucd94\ucd9c\ud558\uace0, \uac1d\uccb4\ub97c \uc778\uc2dd\ud558\uac70\ub098, \ud658\uacbd \ub0b4 \uad00\ub828 \uac1c\uccb4\ub97c \uc2dd\ubcc4\ud558\ub294 \uc791\uc5c5\uc774 \ud3ec\ud568\ub418\uc8e0.<br \/>\n\ucd94\ub860(Reason): \uac70\ub300 \uc5b8\uc5b4 \ubaa8\ub378(Large Language Model, LLM)\uc740 \uc791\uc5c5\uc744 \uc774\ud574\ud558\uace0, \uc194\ub8e8\uc158\uc744 \uc0dd\uc131\ud558\uba70, \ucf58\ud150\uce20 \uc81c\uc791, \ube44\uc804 \ucc98\ub9ac, \ucd94\ucc9c \uc2dc\uc2a4\ud15c\uacfc \uac19\uc740 \ud2b9\uc815 \uae30\ub2a5\uc744 \uc704\ud55c \uc804\ubb38 \ubaa8\ub378\uc744 \uc870\uc728\ud558\ub294 \uc5ed\ud560\uc744 \ud558\ub294 \ucd94\ub860 \uc5d4\uc9c4\uc758 \uc5ed\ud560\uc744 \ud569\ub2c8\ub2e4. \uc774 \ub2e8\uacc4\uc5d0\uc11c\ub294 \uac80\uc0c9 \uc99d\uac15 \uc0dd\uc131(retrieval-augmented generation, RAG)\uacfc \uac19\uc740 \uae30\uc220\uc744 \uc0ac\uc6a9\ud574 \ub3c5\uc810 \ub370\uc774\ud130 \uc18c\uc2a4\uc5d0 \uc811\uadfc\ud558\uace0 \uc815\ud655\ud558\uace0 \uad00\ub828\uc131 \uc788\ub294 \ucd9c\ub825\uc744 \uc81c\uacf5\ud569\ub2c8\ub2e4.<br \/>\n\ud589\ub3d9(Act): \uc5d0\uc774\uc804\ud2f1 AI\ub294 \uc560\ud50c\ub9ac\ucf00\uc774\uc158 \ud504\ub85c\uadf8\ub798\ubc0d \uc778\ud130\ud398\uc774\uc2a4(API)\ub97c \ud1b5\ud574 \uc678\ubd80 \ub3c4\uad6c, \uc18c\ud504\ud2b8\uc6e8\uc5b4\uc640 \ud1b5\ud569\ud568\uc73c\ub85c\uc368 \uc218\ub9bd\ud55c \uacc4\ud68d\uc5d0 \ub530\ub77c \uc791\uc5c5\uc744 \uc2e0\uc18d\ud558\uac8c \uc2e4\ud589\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \ub610\ud55c AI \uc5d0\uc774\uc804\ud2b8\uac00 \uc791\uc5c5\uc744 \uc62c\ubc14\ub974\uac8c \uc2e4\ud589\ud560 \uc218 \uc788\ub3c4\ub85d \uac00\ub4dc\ub808\uc77c\uc744 \uc124\uc815\ud560 \uc218 \uc788\uc8e0. \uc608\ub97c \ub4e4\uc5b4, \uace0\uac1d \uc11c\ube44\uc2a4 AI \uc5d0\uc774\uc804\ud2b8\ub294 \ud2b9\uc815 \uae08\uc561\uae4c\uc9c0\ub9cc \ud074\ub808\uc784\uc744 \ucc98\ub9ac\ud560 \uc218 \uc788\uace0, \uadf8 \uae08\uc561\uc744 \ucd08\uacfc\ud558\ub294 \ud074\ub808\uc784\uc740 \uc0ac\ub78c\uc758 \uc2b9\uc778\uc774 \ud544\uc694\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<br \/>\n\ud559\uc2b5(Learn): \uc5d0\uc774\uc804\ud2f1 AI\ub294 \ud53c\ub4dc\ubc31 \ub8e8\ud504 \ud639\uc740 \uc0c1\ud638\uc791\uc6a9\uc5d0\uc11c \uc0dd\uc131\ub41c \ub370\uc774\ud130\ub97c \uc2dc\uc2a4\ud15c\uc5d0 \uacf5\uae09\ud574 \ubaa8\ub378\uc744 \uac1c\uc120\ud558\ub294 \u2018\ub370\uc774\ud130 \ud50c\ub77c\uc774\ud720(data flywheel)\u2019\uc744 \ud1b5\ud574 \uc9c0\uc18d\uc801\uc73c\ub85c \uac1c\uc120\ub429\ub2c8\ub2e4. \uc2dc\uac04\uc5d0 \ub530\ub77c \uc801\uc751\ud558\uace0 \ub354\uc6b1 \ud6a8\uacfc\uc801\uc73c\ub85c \ubc1c\uc804\ud558\ub294 \uc774\ub7ec\ud55c \ub2a5\ub825\uc740 \ube44\uc988\ub2c8\uc2a4\uc5d0 \ub354 \ub098\uc740 \uc758\uc0ac \uacb0\uc815\uacfc \uc6b4\uc601 \ud6a8\uc728\uc131\uc744 \ucd09\uc9c4\ud558\ub294 \uac15\ub825\ud55c \ub3c4\uad6c\ub97c \uc81c\uacf5\ud569\ub2c8\ub2e4.<br \/>\n<a href=\"https:\/\/blogs.nvidia.co.kr\/blog\/what-is-agentic-ai\/\" target=\"_blank\" rel=\"noopener\">\uc5d0\uc774\uc804\ud2f1 AI\ub780 \ubb34\uc5c7\uc778\uac00?<\/a>\uc911\uc5d0\uc11c<\/p><\/blockquote>\n<p>\uc774\uc0c1\uc758 \uc815\uc758\ub294 \uc5c4\ubc00\ud788 \uc774\ub860\uc801\uc778 \ub4b7\ubc1b\uce68\uc744 \uac00\uc9c4 \uc815\uc758\ub294 \uc544\ub2cc \ub4ef \ud569\ub2c8\ub2e4. \uad00\ub828\ud55c \ub17c\ubb38\ub3c4 \uc788\ub124\uc694.<\/p>\n<p><a href=\"https:\/\/arxiv.org\/abs\/2505.10468\" target=\"_blank\" rel=\"noopener\">AI Agents vs. Agentic AI: A Conceptual Taxonomy, Applications and Challenges<\/a><br \/>\n<iframe src=\"\/\/docs.google.com\/viewer?url=http%3A%2F%2Fsmallake.kr%2Fwp-content%2Fuploads%2F2025%2F06%2F2505.10468v4.pdf&hl=ko&embedded=true\" class=\"gde-frame\" style=\"width:100%; height:500px; border: none;\" scrolling=\"no\"><\/iframe>\n<p class=\"gde-text\"><a href=\"http:\/\/smallake.kr\/wp-content\/uploads\/2025\/06\/2505.10468v4.pdf\" class=\"gde-link\">Download (PDF, 3.09MB)<\/a><\/p><\/p>\n<p><a href=\"https:\/\/www.kewmann.com\/resources\/blogs\/is-agentic-ai-replacing-generative-ai-predictive-ai-in-enterprise-setup\/\" target=\"_blank\" rel=\"noopener\">Is Agentic AI Replacing Generative AI &amp; Predictive AI in Enterprise Setup?<\/a>\uc740 \uc544\ub798\uc640 \uac19\uc774 \ube44\uad50\ud569\ub2c8\ub2e4.<\/p>\n<p><a href=\"https:\/\/i0.wp.com\/smallake.kr\/wp-content\/uploads\/2025\/06\/0613_001.png\"><img data-recalc-dims=\"1\" loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-35240\" src=\"https:\/\/i0.wp.com\/smallake.kr\/wp-content\/uploads\/2025\/06\/0613_001.png?resize=890%2C684\" alt=\"\" width=\"890\" height=\"684\" srcset=\"https:\/\/i0.wp.com\/smallake.kr\/wp-content\/uploads\/2025\/06\/0613_001.png?w=890&amp;ssl=1 890w, https:\/\/i0.wp.com\/smallake.kr\/wp-content\/uploads\/2025\/06\/0613_001.png?resize=300%2C231&amp;ssl=1 300w, https:\/\/i0.wp.com\/smallake.kr\/wp-content\/uploads\/2025\/06\/0613_001.png?resize=200%2C154&amp;ssl=1 200w\" sizes=\"auto, (max-width: 890px) 100vw, 890px\" \/><\/a><\/p>\n<p>\uc774\ub7f0 \uad00\uc810\uc5d0\uc11c Agentic Application\uc744 \uc5b4\ub5bb\uac8c \uc815\uc758\ud574\uc57c \ud560\uae4c\uc694? <a href=\"https:\/\/snowplow.io\/blog\/agentic-application-definition\" target=\"_blank\" rel=\"noopener\">A Simple Definition of What Is, and What Is Not, an Agentic Application<\/a>\uc744 \ubcf4\uba74 \ub2e8\uc21c\ud558\uac8c \uc815\uc758\ud569\ub2c8\ub2e4.<\/p>\n<blockquote><p>Agentic application is any application that makes use of a Large Language Model (LLM) under the hood.<\/p><\/blockquote>\n<p>\uc774\uc640 \ube44\uc2b7\ud55c \uc815\uc758\ub97c \uac00\uc9c8 \ub4ef \ud55c \ub2e8\uc5b4\uac00 AI Agent\uc785\ub2c8\ub2e4. <a href=\"https:\/\/blog.langchain.dev\/what-is-an-agent\/\" target=\"_blank\" rel=\"noopener\">What is an AI agent?<\/a>\uc5d0\uc11c \uc815\uc758\ud558\ub294 \ub0b4\uc6a9\uc785\ub2c8\ub2e4.<\/p>\n<blockquote><p>An AI agent is a system that uses an LLM to determine the control flow of an application<\/p><\/blockquote>\n<p>\uadf8\ub798\uc11c Agentic AI\uc640 \ub2e4\ub978 \uac83\uc73c\ub85c \uc774\uc57c\uae30\ud558\ub294 \uacbd\uc6b0\ub3c4 \uc788\ub124\uc694.\uc774 \ub54c \ud575\uc2ec \uac1c\ub150\uc774 Autonomy\uc785\ub2c8\ub2e4. \ud558\uc5ec\ud2bc AI Agent, Agentic AI, Agentic Application\uc744 \uc5b4\ub5bb\uac8c \uc0ac\uc6a9\ud558\ub4e0 \ub2e4\uc591\ud55c \ubc29\uc2dd\uc73c\ub85c AI\ub97c \uc0ac\uc6a9\ud558\uace0 \uc788\ub2e4\ub294 \uc810\uc740 \ud2c0\ub9ac\uc9c0 \uc54a\uc2b5\ub2c8\ub2e4.<\/p>\n<p>3.<br \/>\n\uadf8\ub7ec\uba74 Agentic AI\ub97c \uc0ac\uc6a9\ud558\ub294 \uc0ac\ub840\ub4e4\uc744 \ubcf4\uaca0\uc2b5\ub2c8\ub2e4.<\/p>\n<blockquote><p>&nbsp;<\/p>\n<p data-block-key=\"3flif\"><b>#1 Agentic Loan Underwriting<\/b><\/p>\n<p data-block-key=\"77lt1\"><b>Use Case:<\/b>\u00a0<a href=\"https:\/\/venturebeat.com\/ai\/wells-fargos-ai-assistant-just-crossed-245-million-interactions-with-zero-humans-in-the-loop-and-zero-pii-to-the-llm\/\">Loan underwriting agents<\/a><br \/>\n<b>Vendor:<\/b>\u00a0LangChain<br \/>\n<b>Bank:<\/b>\u00a0Wells Fargo<\/p>\n<p data-block-key=\"fh9in\"><b>Why it\u2019s interesting:<\/b>\u00a0The bank built an agentic tool capable of re-underwriting loans. It retrieves archived documents, pulls out relevant information, matches the data to internal systems and performs the calculations that ultimately determine the loan.<\/p>\n<p data-block-key=\"c4p5o\"><b>How they did it:<\/b>\u00a0The bank used LangGraph (an open source framework) to design how the individual agents tasked with each step of the process above would interact with each other. CIO\u00a0<b>Chintan Mehta<\/b>\u00a0noted that the bank is focused on building \u201ccompound systems,\u201d meaning they\u2019ll match different tasks to different models to make sure they\u2019re not tapping expensive ones for simple jobs.<\/p>\n<p data-block-key=\"7k74o\"><b>Impact:<\/b>\u00a0Each task handled by the tool is typically done by a human, and while a human still reviews the final output in this case, the agentic approach can improve efficiency.<\/p>\n<hr \/>\n<p data-block-key=\"9hg36\"><b>#2 Agents That Upsell<\/b><\/p>\n<p data-block-key=\"sj1h\"><b>Use Case:<\/b>\u00a0<a href=\"https:\/\/venturebeat.com\/ai\/how-big-u-s-bank-bny-manages-armies-of-ai-agents\/\">Multi-agent platform for sales<\/a><br \/>\n<b>Vendor:<\/b>\u00a0Microsoft<br \/>\n<b>Bank:<\/b>\u00a0BNY<\/p>\n<p data-block-key=\"7jgka\"><b>Why it\u2019s interesting:<\/b>\u00a0The bank\u2019s AI tool\u00a0<a href=\"https:\/\/venturebeat.com\/ai\/how-big-u-s-bank-bny-manages-armies-of-ai-agents\/\">Eliza<\/a>\u00a0uses agentic AI to help its sales teams recommend financial products to clients. Thirteen agents work together to determine the right product based on the specific question a client has and who that client is. For now, this tool still has a human in the loop and doesn\u2019t yet \u201cautomatically generate a PowerPoint we can give to the client,\u201d said\u00a0<b>Sarthak Pattanaik<\/b>, the bank\u2019s head of AI.<\/p>\n<p data-block-key=\"26b8d\"><b>How they did it:<\/b>\u00a0The bank used Autogen (Microsoft\u2019s open-source framework) to build guardrails for the agents\u2019 responses and determine how each of the agents would interact with one another. Some of those agents gather information from the client while others search the bank\u2019s full portfolio of products and services in order to determine the best way to answer the question, Pattanaik said. He also noted the bank is having AI engineers work directly with full-stack engineers to &#8220;componentize&#8221; parts of the tool that will make it easier to scale in the future.<\/p>\n<p data-block-key=\"cmpd3\"><b>Impact:<\/b>\u00a0The tool can save client-facing employees time by cutting down the number of people they need to speak to before answering a question, the bank says.<\/p>\n<hr \/>\n<p data-block-key=\"bqtsl\"><b>#3 Agentic Lawyers<\/b><\/p>\n<p data-block-key=\"8m8mc\"><b>Use Case:<\/b>\u00a0<a href=\"https:\/\/aclanthology.org\/2025.coling-industry.50.pdf\">Legal Agentic Workflow (LAW)<\/a><br \/>\n<b>Vendor:<\/b>\u00a0AWS, OpenAI, Snowflake<br \/>\n<b>Bank:<\/b>\u00a0JPMorganChase<\/p>\n<p data-block-key=\"cjj92\"><b>Why it\u2019s interesting:<\/b>\u00a0The bank\u2019s research team published a paper about a suite of agentic tools aimed to aid legal teams with tasks like extracting dates, determining a contract\u2019s lifecycle and comparing clauses of legal documents. LLMs tend to struggle with complex legal documents because of the amount of reasoning it takes to pull out the right information \u2013 such as the termination date of a contract instead of the effective date.<\/p>\n<p data-block-key=\"8ss9f\"><b>How they did it:<\/b>\u00a0The bank designed legal-specific tools that work together to pull out information from \u201cfinancial-legal contracts.\u201d The bank\u2019s proposed agentic workflow takes user questions \u2013 relating to contract lifecycle or the parties involved in a particular agreement, for example \u2013 and turns them into code which it runs to retrieve the relevant information or summarize the relevant parts of a document.<\/p>\n<p data-block-key=\"527fi\"><b>Impact:<\/b>\u00a0The bank says it was able to accurately determine the termination date of a contract more than 95% of the time using its workflow. Doing the same task, OpenAI\u2019s GPT-3.5-Turbo was accurate less than 3% of th<\/p><\/blockquote>\n","protected":false},"excerpt":{"rendered":"<p>\ud540\ud14c\ud06c \uc5f4\ud48d\uc758 \uc2dc\uc791\uc740 \uc6d4\uc2a4\ud2b8\ub9ac\ud2b8\uc785\ub2c8\ub2e4. IT\uae30\uc220\uc744 \ud1b5\ud55c \uae08\uc735\ube44\uc9c0\ub2c8\uc2a4\ub97c \ubc14\uafb8\ub294 \uc2dc\ub3c4\ub4e4\uc774 \uac70\ub300\ud55c \ud0dc\ud48d\uc73c\ub85c \ubc14\ub010 \ud6c4 \ud55c\uad6d\ub3c4 \ud558\ub098\uc529 \ub458\uc529 \ubc14\ub00c\uc5b4\ub098\uac14\uc2b5\ub2c8\ub2e4. AI\ub3c4 \ube44\uc2b7\ud560 \ub4ef \ud569\ub2c8\ub2e4. AI \ub3c4\uc785\uc744 \ubcf8\uaca9\ud654\ud55c \uc9c0\uae08 \uae08\uc735\uc0b0\uc5c5\uc5d0\uc11c\uc758 AI\uc758 \ubbf8\ub798\ub294 \uc6d4\uc2a4\ud2b8\ub9ac\ud2b8\uac00 \ubcf4\uc5ec\uc904 \ub4ef \ud569\ub2c8\ub2e4. \uadf8\ub798\uc11c Evident The Brief\ub97c \ubc1b\uc544\ubcf4\uace0 \uc788\uc2b5\ub2c8\ub2e4. \uad00\ub828\ud55c \ub0b4\uc6a9\uc744 \uc77d\uc73c\uba74\uc11c \uc6d4\uc2a4\ud2b8\ub9ac\ud2b8\uc5d0\uc11c AI\ub97c \uc5b4\ub5bb\uac8c \ubc14\ub77c\ubcf4\uace0 \ud65c\uc6a9\ud558\ub294\uc9c0\ub97c \uc774\ud574\ud558\uace0 \uc788\uc2b5\ub2c8\ub2e4. &#8220;\uc694\uc998 AI, \uc694\uc998 \uc6d4\uc2a4\ud2b8\ub9ac\ud2b8&#8221;\ub294 \ub274\uc2a4\ub808\ud130\uc911 \uac19\uc774 \ub098\ub204\uba74 \uc88b\uc744 \ub4ef \ud55c \ub0b4\uc6a9\uc744 \uc815\ub9ac\ud574\ubcf4\ub824\uace0&#8230;<br \/><a class=\"read-more-button\" href=\"https:\/\/smallake.kr\/?p=35236\">Read more<\/a><\/p>\n","protected":false},"author":1,"featured_media":35246,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"nf_dc_page":"","om_disable_all_campaigns":false,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_feature_clip_id":0,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2},"jetpack_post_was_ever_published":false},"categories":[2684],"tags":[],"class_list":["post-35236","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-2684"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- 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