{"id":1422,"date":"2026-04-10T03:45:15","date_gmt":"2026-04-10T03:45:15","guid":{"rendered":"https:\/\/bbotech.vn\/ai-era-business-models-mit-cisr\/"},"modified":"2026-04-10T03:55:10","modified_gmt":"2026-04-10T03:55:10","slug":"ai-era-business-models-mit-cisr","status":"publish","type":"post","link":"https:\/\/bbotech.vn\/vi\/ai-era-business-models-mit-cisr\/","title":{"rendered":"M\u00f4 H\u00ecnh Kinh Doanh Th\u1eddi \u0110\u1ea1i AI: Khi 58% Doanh Nghi\u1ec7p \u0110\u00e3 Chuy\u1ec3n \u0110\u1ed5i M\u00e0 B\u1ea1n Ch\u01b0a Nh\u1eadn Ra"},"content":{"rendered":"

N\u0103m 2013, 46% doanh nghi\u1ec7p<\/strong> tr\u00ean th\u1ebf gi\u1edbi v\u1eadn h\u00e0nh theo m\u00f4 h\u00ecnh Supplier truy\u1ec1n th\u1ed1ng \u2014 s\u1ea3n xu\u1ea5t, ph\u00e2n ph\u1ed1i, b\u00e1n h\u00e0ng theo chi\u1ec1u th\u1eb3ng \u0111\u1ee9ng. \u0110\u1ebfn n\u0103m 2025, con s\u1ed1 \u0111\u00f3 ch\u1ec9 c\u00f2n 15%<\/strong>. Trong c\u00f9ng giai \u0111o\u1ea1n, m\u00f4 h\u00ecnh Ecosystem Driver \u2014 nh\u1eefng doanh nghi\u1ec7p x\u00e2y d\u1ef1ng h\u1ec7 sinh th\u00e1i k\u1ebft n\u1ed1i \u2014 t\u0103ng t\u1eeb 12% l\u00ean 58%<\/strong>.<\/p>\n

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\u0110\u00e2y kh\u00f4ng ph\u1ea3i d\u1ef1 b\u00e1o c\u1ee7a m\u1ed9t t\u1edd b\u00e1o c\u00f4ng ngh\u1ec7 hay m\u1ed9t c\u00f4ng ty t\u01b0 v\u1ea5n mu\u1ed1n b\u00e1n report. \u0110\u00e2y l\u00e0 d\u1eef li\u1ec7u t\u1eeb nghi\u00ean c\u1ee9u c\u1ee7a MIT CISR<\/strong> (Center for Information Systems Research), ph\u00e2n t\u00edch 2.378 c\u00f4ng ty trong 12 n\u0103m<\/strong>, c\u00f4ng b\u1ed1 n\u0103m 2025. V\u00e0 ph\u1ea7n \u0111\u00e1ng lo ng\u1ea1i h\u01a1n c\u1ea3 s\u1ef1 d\u1ecbch chuy\u1ec3n \u0111\u00f3 l\u00e0 \u0111i\u1ec1u MIT CISR n\u00f3i ti\u1ebfp theo: AI \u0111ang bu\u1ed9c to\u00e0n b\u1ed9 c\u00e1c m\u00f4 h\u00ecnh kinh doanh n\u00e0y ph\u1ea3i ti\u1ebfn h\u00f3a th\u00eam m\u1ed9t l\u1ea7n n\u1eefa \u2014 ngay b\u00e2y gi\u1edd<\/em>.<\/p>\n

C\u00e2u h\u1ecfi kh\u00f4ng c\u00f2n l\u00e0 “doanh nghi\u1ec7p b\u1ea1n c\u00f3 \u0111ang d\u00f9ng AI kh\u00f4ng?” m\u00e0 l\u00e0 “AI \u0111ang h\u00e0nh \u0111\u1ed9ng thay m\u1eb7t kh\u00e1ch h\u00e0ng c\u1ee7a b\u1ea1n \u0111\u1ebfn m\u1ee9c n\u00e0o \u2014 v\u00e0 b\u1ea1n \u0111\u00e3 s\u1eb5n s\u00e0ng cho \u0111i\u1ec1u \u0111\u00f3 ch\u01b0a?”<\/p><\/blockquote>\n

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\"M\u00f4<\/p>\n

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C\u00e1ch Nh\u00ecn Ph\u1ed5 Bi\u1ebfn V\u1ec1 AI Trong Kinh Doanh \u2014 V\u00e0 T\u1ea1i Sao N\u00f3 Kh\u00f4ng C\u00f2n \u0110\u1ee7<\/h2>\n

Khi n\u00f3i \u0111\u1ebfn AI trong doanh nghi\u1ec7p, ph\u1ea7n l\u1edbn l\u00e3nh \u0111\u1ea1o \u0111ang ngh\u0129 theo m\u1ed9t framework quen thu\u1ed9c: d\u00f9ng AI \u0111\u1ec3 l\u00e0m vi\u1ec7c c\u0169 nhanh h\u01a1n, r\u1ebb h\u01a1n<\/em>. Chatbot thay call center. AI t\u00f3m t\u1eaft t\u00e0i li\u1ec7u thay nh\u00e2n vi\u00ean. Model d\u1ef1 \u0111o\u00e1n thay analyst.<\/p>\n

Framework n\u00e0y kh\u00f4ng sai \u2014 n\u00f3 ch\u1ec9 \u0111ang gi\u1ea3i quy\u1ebft ph\u1ea7n d\u1ec5 nh\u00ecn nh\u1ea5t v\u00e0 c\u00f3 gi\u00e1 tr\u1ecb th\u1ea5p nh\u1ea5t c\u1ee7a cu\u1ed9c chuy\u1ec3n \u0111\u1ed5i. Theo McKinsey Global Survey 2025<\/strong>, 88% doanh nghi\u1ec7p<\/strong> \u0111ang d\u00f9ng AI \u1edf m\u1ee9c n\u00e0o \u0111\u00f3. Nh\u01b0ng trong s\u1ed1 \u0111\u00f3, ch\u1ec9 m\u1ed9t ph\u1ea7n nh\u1ecf \u0111\u1ea1t hi\u1ec7u qu\u1ea3 t\u00e0i ch\u00ednh v\u01b0\u1ee3t tr\u1ed9i so v\u1edbi ng\u00e0nh.<\/p>\n

Nghi\u00ean c\u1ee9u MIT CISR ch\u1ec9 ra \u0111i\u1ec1u m\u00e0 nhi\u1ec1u t\u1ed5 ch\u1ee9c \u0111ang b\u1ecf qua: AI kh\u00f4ng ch\u1ec9 l\u00e0 c\u00f4ng c\u1ee5 t\u1ef1 \u0111\u1ed9ng h\u00f3a \u2014 n\u00f3 l\u00e0 \u0111\u1ed9ng l\u1ef1c t\u00e1i \u0111\u1ecbnh ngh\u0129a to\u00e0n b\u1ed9 m\u00f4 h\u00ecnh kinh doanh<\/strong>. V\u00e0 nh\u1eefng doanh nghi\u1ec7p ch\u1ec9 d\u00f9ng AI \u0111\u1ec3 “l\u00e0m vi\u1ec7c c\u0169 nhanh h\u01a1n” \u0111ang c\u1ea1nh tranh trong m\u1ed9t cu\u1ed9c \u0111ua m\u00e0 lu\u1eadt ch\u01a1i \u0111\u00e3 thay \u0111\u1ed5i.<\/p>\n

12 N\u0103m D\u1ecbch Chuy\u1ec3n C\u1ea5u Tr\u00fac: B\u1ed1n M\u00f4 H\u00ecnh C\u0169 \u0110ang Bi\u1ebfn M\u1ea5t Nh\u01b0 Th\u1ebf N\u00e0o<\/h2>\n

Tr\u01b0\u1edbc khi ph\u00e2n t\u00edch t\u01b0\u01a1ng lai, c\u1ea7n hi\u1ec3u r\u00f5 MIT CISR \u0111\u00e3 \u0111o g\u00ec trong 12 n\u0103m qua. H\u1ecd ph\u00e2n lo\u1ea1i doanh nghi\u1ec7p theo hai tr\u1ee5c: m\u1ee9c \u0111\u1ed9 hi\u1ec3u bi\u1ebft v\u1ec1 kh\u00e1ch h\u00e0ng cu\u1ed1i<\/strong> v\u00e0 ph\u1ea1m vi h\u1ec7 sinh th\u00e1i<\/strong> (\u0111\u01a1n l\u1ebb hay \u0111a \u0111\u1ed1i t\u00e1c). T\u1eeb \u0111\u00f3 \u0111\u1ecbnh ngh\u0129a b\u1ed1n m\u00f4 h\u00ecnh:<\/p>\n

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  • Supplier (Nh\u00e0 cung c\u1ea5p):<\/strong> B\u00e1n s\u1ea3n ph\u1ea9m\/d\u1ecbch v\u1ee5 qua trung gian, \u00edt bi\u1ebft v\u1ec1 end-customer. 2013: 46% \u2192 2025: 15%<\/em><\/li>\n
  • Omnichannel Business:<\/strong> Ph\u1ee5c v\u1ee5 kh\u00e1ch h\u00e0ng tr\u1ef1c ti\u1ebfp qua nhi\u1ec1u k\u00eanh, hi\u1ec3u kh\u00e1ch h\u00e0ng s\u00e2u. 2013: 24% \u2192 2025: 4%<\/em><\/li>\n
  • Modular Producer:<\/strong> Cung c\u1ea5p d\u1ecbch v\u1ee5 c\u00f3 th\u1ec3 t\u00edch h\u1ee3p v\u00e0o h\u1ec7 sinh th\u00e1i c\u1ee7a ng\u01b0\u1eddi kh\u00e1c (nh\u01b0 Stripe, AWS). 2013: 18% \u2192 2025: 23%<\/em><\/li>\n
  • Ecosystem Driver:<\/strong> X\u00e2y d\u1ef1ng n\u1ec1n t\u1ea3ng k\u1ebft n\u1ed1i kh\u00e1ch h\u00e0ng v\u1edbi nhi\u1ec1u nh\u00e0 cung c\u1ea5p trong m\u1ed9t domain. 2013: 12% \u2192 2025: 58%<\/em><\/li>\n<\/ul>\n

    S\u1ef1 s\u1ee5p \u0111\u1ed5 c\u1ee7a Omnichannel t\u1eeb 24% xu\u1ed1ng 4% l\u00e0 t\u00edn hi\u1ec7u \u0111\u00e1ng ch\u00fa \u00fd nh\u1ea5t. Kh\u00f4ng ph\u1ea3i v\u00ec k\u00eanh b\u00e1n h\u00e0ng k\u00e9m quan tr\u1ecdng \u2014 m\u00e0 v\u00ec nh\u1eefng doanh nghi\u1ec7p ch\u1ec9 \u0111a k\u00eanh m\u00e0 kh\u00f4ng c\u00f3 h\u1ec7 sinh th\u00e1i \u0111ang b\u1ecb nu\u1ed1t ch\u1eedng b\u1edfi nh\u1eefng \u0111\u1ed1i th\u1ee7 r\u1ed9ng h\u01a1n. Grab kh\u00f4ng ch\u1ec9 l\u00e0 “\u0111a k\u00eanh” \u2014 n\u00f3 l\u00e0 Ecosystem Driver ki\u1ec3m so\u00e1t to\u00e0n b\u1ed9 domain “di chuy\u1ec3n + \u0111\u1ed3 \u0103n + thanh to\u00e1n” c\u1ee7a kh\u00e1ch h\u00e0ng.<\/p>\n

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    \"AI-Era<\/p>\n

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    K\u1ef7 Nguy\u00ean Agentic AI: B\u1ed1n M\u00f4 H\u00ecnh M\u1edbi M\u00e0 MIT CISR \u0110\u1ec1 Xu\u1ea5t<\/h2>\n

    \u0110\u00e2y l\u00e0 ph\u1ea7n MIT CISR g\u1ecdi l\u00e0 “speculative nh\u01b0ng c\u00f3 c\u0103n c\u1ee9” \u2014 \u0111\u01b0\u1ee3c x\u00e2y d\u1ef1ng t\u1eeb data 12 n\u0103m c\u1ed9ng v\u1edbi case study t\u1eeb c\u00e1c senior executive meeting. Trong k\u1ef7 nguy\u00ean Agentic AI, hai tr\u1ee5c ph\u00e2n lo\u1ea1i thay \u0111\u1ed5i ho\u00e0n to\u00e0n:<\/p>\n

    Tr\u1ee5c m\u1edbi kh\u00f4ng c\u00f2n l\u00e0 “b\u1ea1n bi\u1ebft g\u00ec v\u1ec1 kh\u00e1ch h\u00e0ng” m\u00e0 l\u00e0 “AI c\u00f3 th\u1ec3 h\u00e0nh \u0111\u1ed9ng thay m\u1eb7t kh\u00e1ch h\u00e0ng \u0111\u1ebfn m\u1ee9c n\u00e0o”<\/strong>. V\u00e0 tr\u1ee5c kia kh\u00f4ng c\u00f2n l\u00e0 “\u0111\u01a1n l\u1ebb hay h\u1ec7 sinh th\u00e1i” m\u00e0 l\u00e0 “quy tr\u00ecnh c\u1ed1 \u0111\u1ecbnh hay kh\u00f4ng c\u00f3 quy tr\u00ecnh c\u1ed1 \u0111\u1ecbnh.”<\/p>\n

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    M\u00f4 h\u00ecnh 1 \u2014 Existing+ (N\u00e2ng c\u1ea5p m\u00f4 h\u00ecnh hi\u1ec7n t\u1ea1i)<\/h3>\n

    Gi\u1eef nguy\u00ean m\u00f4 h\u00ecnh kinh doanh, t\u00edch h\u1ee3p AI v\u00e0o c\u00e1c \u0111i\u1ec3m ti\u1ebfp x\u00fac quan tr\u1ecdng. M\u1ed9t c\u00f4ng ty b\u1ea3o hi\u1ec3m v\u1eabn b\u00e1n b\u1ea3o hi\u1ec3m nh\u00e2n th\u1ecd \u2014 nh\u01b0ng AI t\u1ef1 \u0111\u1ed9ng x\u00e9t duy\u1ec7t h\u1ed3 s\u01a1 trong 3 ph\u00fat thay v\u00ec 3 ng\u00e0y, model d\u1ef1 \u0111o\u00e1n r\u1ee7i ro ch\u00ednh x\u00e1c h\u01a1n gi\u00fap \u0111\u1ecbnh gi\u00e1 t\u1ed1t h\u01a1n, v\u00e0 chatbot x\u1eed l\u00fd 70% y\u00eau c\u1ea7u claims m\u00e0 kh\u00f4ng c\u1ea7n nh\u00e2n s\u1ef1.<\/p>\n

    \u0110\u00e2y l\u00e0 b\u01b0\u1edbc \u0111\u1ea7u th\u1ef1c t\u1ebf nh\u1ea5t \u2014 v\u00e0 c\u0169ng l\u00e0 n\u01a1i h\u1ea7u h\u1ebft doanh nghi\u1ec7p \u0111ang m\u1eafc k\u1eb9t, t\u01b0\u1edfng r\u1eb1ng \u0111\u00e2y l\u00e0 \u0111\u00edch \u0111\u1ebfn thay v\u00ec \u0111i\u1ec3m kh\u1edfi \u0111\u1ea7u.<\/p>\n

    M\u00f4 h\u00ecnh 2 \u2014 Customer Proxy (\u0110\u1ea1i di\u1ec7n h\u00e0nh \u0111\u1ed9ng cho kh\u00e1ch h\u00e0ng)<\/h3>\n

    AI \u0111\u01b0\u1ee3c \u1ee7y quy\u1ec1n th\u1ef1c hi\u1ec7n c\u00e1c h\u00e0nh \u0111\u1ed9ng c\u1ee5 th\u1ec3 theo quy tr\u00ecnh \u0111\u01b0\u1ee3c \u0111\u1ecbnh ngh\u0129a tr\u01b0\u1edbc. \u1ee8ng d\u1ee5ng \u0111\u1ea7u t\u01b0 t\u1ef1 \u0111\u1ed9ng c\u00e2n b\u1eb1ng danh m\u1ee5c m\u1ed7i th\u00e1ng theo tham s\u1ed1 kh\u00e1ch h\u00e0ng \u0111\u00e3 thi\u1ebft l\u1eadp. N\u1ec1n t\u1ea3ng du l\u1ecbch t\u1ef1 \u0111\u1eb7t l\u1ea1i v\u00e9 khi c\u00f3 chuy\u1ebfn bay r\u1ebb h\u01a1n ph\u00f9 h\u1ee3p s\u1edf th\u00edch c\u1ee7a b\u1ea1n.<\/p>\n

    \u0110i\u1ec3m m\u1ea5u ch\u1ed1t: kh\u00e1ch h\u00e0ng ph\u1ea3i tin t\u01b0\u1edfng<\/em> doanh nghi\u1ec7p \u0111\u1ee7 \u0111\u1ec3 n\u00f3i “h\u00e3y l\u00e0m \u0111i\u1ec1u n\u00e0y thay t\u00f4i.” Trust l\u00e0 t\u00e0i s\u1ea3n c\u1ed1t l\u00f5i \u2014 kh\u00f4ng ph\u1ea3i c\u00f4ng ngh\u1ec7.<\/p>\n

    M\u00f4 h\u00ecnh 3 \u2014 Modular Creator (Nh\u00e0 t\u1ea1o ra module AI)<\/h3>\n

    AI t\u1ef1 l\u1eafp r\u00e1p c\u00e1c module d\u1ecbch v\u1ee5 \u2014 bao g\u1ed3m t\u1eeb b\u00ean th\u1ee9 ba \u2014 \u0111\u1ec3 \u0111\u1ea1t m\u1ee5c ti\u00eau c\u1ee7a kh\u00e1ch h\u00e0ng, kh\u00f4ng c\u00f3 quy tr\u00ecnh c\u1ed1 \u0111\u1ecbnh tr\u01b0\u1edbc. Thay v\u00ec AI th\u1ef1c hi\u1ec7n m\u1ed9t t\u1eadp h\u00e0nh \u0111\u1ed9ng \u0111\u1ecbnh s\u1eb5n, n\u00f3 t\u1ef1 quy\u1ebft \u0111\u1ecbnh<\/em> c\u00e1ch k\u1ebft h\u1ee3p c\u00e1c c\u00f4ng c\u1ee5. M\u1ed9t tr\u1ee3 l\u00fd AI bi\u1ebft b\u1ea1n mu\u1ed1n “chu\u1ea9n b\u1ecb cho bu\u1ed5i pitch v\u1edbi nh\u00e0 \u0111\u1ea7u t\u01b0” \u2014 n\u00f3 t\u1ef1 t\u00ecm th\u00f4ng tin c\u00f4ng ty, ph\u00e2n t\u00edch th\u1ecb tr\u01b0\u1eddng, so\u1ea1n deck, \u0111\u1eb7t ph\u00f2ng h\u1ecdp, t\u1ea5t c\u1ea3 m\u00e0 kh\u00f4ng c\u1ea7n workflow \u0111\u1ecbnh s\u1eb5n.<\/p>\n

    M\u00f4 h\u00ecnh 4 \u2014 Orchestrator (\u0110i\u1ec1u ph\u1ed1i h\u1ec7 sinh th\u00e1i AI)<\/h3>\n

    \u0110\u1ec9nh cao c\u1ee7a framework. AI \u0111i\u1ec1u ph\u1ed1i to\u00e0n b\u1ed9 h\u1ec7 sinh th\u00e1i \u0111\u1ed1i t\u00e1c b\u00ean ngo\u00e0i \u0111\u1ec3 \u0111\u1ea1t k\u1ebft qu\u1ea3 t\u1ed1t nh\u1ea5t cho kh\u00e1ch h\u00e0ng \u2014 kh\u00f4ng b\u1ecb r\u00e0ng bu\u1ed9c b\u1edfi quy tr\u00ecnh n\u00e0o. \u0110\u00e2y l\u00e0 t\u01b0\u01a1ng lai c\u1ee7a nh\u1eefng Ecosystem Driver hi\u1ec7n t\u1ea1i: thay v\u00ec kh\u00e1ch h\u00e0ng ph\u1ea3i \u0111i\u1ec1u h\u01b0\u1edbng qua nhi\u1ec1u nh\u00e0 cung c\u1ea5p, AI Orchestrator ph\u00e2n t\u00edch nhu c\u1ea7u, ch\u1ecdn nh\u00e0 cung c\u1ea5p t\u1ed1i \u01b0u trong th\u1eddi gian th\u1ef1c, \u0111\u00e0m ph\u00e1n \u0111i\u1ec1u kho\u1ea3n, v\u00e0 th\u1ef1c thi.<\/p>\n

    Theo Gartner, \u0111\u1ebfn n\u0103m 2028, 33% enterprise software<\/strong> s\u1ebd t\u00edch h\u1ee3p agentic AI \u2014 t\u0103ng t\u1eeb d\u01b0\u1edbi 1% n\u0103m 2024. Orchestrator l\u00e0 m\u00f4 h\u00ecnh m\u00e0 nh\u1eefng con s\u1ed1 n\u00e0y \u0111ang d\u1eabn \u0111\u1ebfn.<\/p>\n

    Enterprise AI Maturity: T\u1ea1i Sao 70% Doanh Nghi\u1ec7p \u0110ang \u0110\u1ed1t Ti\u1ec1n V\u00e0o AI<\/h2>\n

    Song song v\u1edbi nghi\u00ean c\u1ee9u v\u1ec1 m\u00f4 h\u00ecnh kinh doanh, MIT CISR c\u0169ng kh\u1ea3o s\u00e1t 721 doanh nghi\u1ec7p<\/strong> \u0111\u1ec3 \u0111o m\u1ee9c \u0111\u1ed9 tr\u01b0\u1edfng th\u00e0nh AI v\u00e0 t\u00e1c \u0111\u1ed9ng t\u00e0i ch\u00ednh th\u1ef1c s\u1ef1. K\u1ebft qu\u1ea3 r\u00f5 r\u00e0ng \u0111\u1ebfn m\u1ee9c kh\u00f4ng th\u1ec3 b\u1ecf qua:<\/p>\n

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    • Stage 1-2<\/strong> (th\u1eed nghi\u1ec7m r\u1eddi r\u1ea1c, m\u1edf r\u1ed9ng ch\u1ecdn l\u1ecdc): K\u1ebft qu\u1ea3 t\u00e0i ch\u00ednh d\u01b0\u1edbi trung b\u00ecnh ng\u00e0nh<\/em><\/li>\n
    • Stage 3<\/strong> (c\u00f4ng nghi\u1ec7p h\u00f3a AI to\u00e0n doanh nghi\u1ec7p): K\u1ebft qu\u1ea3 t\u00e0i ch\u00ednh v\u01b0\u1ee3t tr\u1ed9i so v\u1edbi ng\u00e0nh<\/em><\/li>\n
    • Stage 4<\/strong> (AI b\u1ea3n \u0111\u1ecba h\u00f3a v\u00e0o DNA): K\u1ebft qu\u1ea3 t\u00e0i ch\u00ednh \u0111\u1eb7c bi\u1ec7t t\u1ed1t<\/em><\/li>\n<\/ul>\n

      Quan tr\u1ecdng h\u01a1n: b\u01b0\u1edbc nh\u1ea3y t\u1eeb Stage 2 l\u00ean Stage 3 t\u1ea1o ra t\u00e1c \u0111\u1ed9ng t\u00e0i ch\u00ednh l\u1edbn nh\u1ea5t<\/strong>. Stage 3 \u0111\u00f2i h\u1ecfi b\u1ed1n th\u1ee9 \u0111\u1ed3ng th\u1eddi: ki\u1ebfn tr\u00fac AI c\u00f3 th\u1ec3 m\u1edf r\u1ed9ng, d\u1eef li\u1ec7u v\u00e0 k\u1ebft qu\u1ea3 minh b\u1ea1ch qua dashboard, v\u0103n h\u00f3a test-and-learn to\u00e0n doanh nghi\u1ec7p, v\u00e0 t\u1ef1 \u0111\u1ed9ng h\u00f3a quy tr\u00ecnh s\u00e2u r\u1ed9ng.<\/p>\n

      T\u00ednh \u0111\u1ebfn 2025, ch\u1ec9 31%<\/strong> doanh nghi\u1ec7p trong nghi\u00ean c\u1ee9u \u0111\u1ea1t Stage 3. Ngh\u0129a l\u00e0 g\u1ea7n 70% v\u1eabn \u0111ang \u1edf Stage 1-2 \u2014 \u0111\u1ea7u t\u01b0 v\u00e0o AI nh\u01b0ng ch\u01b0a th\u1ea5y l\u1ee3i nhu\u1eadn r\u00f5 r\u00e0ng, v\u00e0 th\u01b0\u1eddng k\u1ebft lu\u1eadn sai r\u1eb1ng “AI kh\u00f4ng hi\u1ec7u qu\u1ea3 v\u1edbi ng\u00e0nh c\u1ee7a m\u00ecnh.”<\/p>\n

      V\u1ea5n \u0111\u1ec1 kh\u00f4ng ph\u1ea3i l\u00e0 AI k\u00e9m hi\u1ec7u qu\u1ea3. V\u1ea5n \u0111\u1ec1 l\u00e0 ph\u1ea7n l\u1edbn doanh nghi\u1ec7p \u0111ang d\u00f9ng AI theo c\u00e1ch \u0111\u1ea3m b\u1ea3o r\u1eb1ng n\u00f3 s\u1ebd k\u00e9m hi\u1ec7u qu\u1ea3.<\/p><\/blockquote>\n

      Ph\u1ea3n Bi\u1ec7n Ph\u1ed5 Bi\u1ebfn \u2014 V\u00e0 C\u00e2u Tr\u1ea3 L\u1eddi Trung Th\u1ef1c<\/h2>\n

      “C\u00e1c m\u00f4 h\u00ecnh n\u00e0y ch\u1ec9 d\u00e0nh cho big tech. SME kh\u00f4ng th\u1ec3 l\u00e0m Orchestrator.”<\/strong><\/p>\n

      \u0110\u00fang m\u1ed9t ph\u1ea7n \u2014 Orchestrator \u0111\u00f2i h\u1ecfi quy m\u00f4 v\u00e0 ngu\u1ed3n l\u1ef1c. Nh\u01b0ng Modular Creator v\u00e0 Customer Proxy th\u00ec kh\u00f4ng. M\u1ed9t c\u00f4ng ty SaaS 50 ng\u01b0\u1eddi ho\u00e0n to\u00e0n c\u00f3 th\u1ec3 x\u00e2y Customer Proxy trong m\u1ed9t domain h\u1eb9p c\u1ee7a kh\u00e1ch h\u00e0ng. Framework c\u1ee7a MIT CISR kh\u00f4ng b\u1eaft bu\u1ed9c b\u1ea1n ph\u1ea3i l\u00e0 Amazon \u2014 n\u00f3 h\u1ecfi b\u1ea1n \u0111ang ch\u1ecdn \u0111i theo h\u01b0\u1edbng n\u00e0o.<\/p>\n

      “Kh\u00e1ch h\u00e0ng c\u1ee7a ch\u00fang t\u00f4i ch\u01b0a s\u1eb5n s\u00e0ng \u0111\u1ec3 AI h\u00e0nh \u0111\u1ed9ng thay h\u1ecd.”<\/strong><\/p>\n

      \u0110\u00e2y l\u00e0 ph\u1ea3n bi\u1ec7n h\u1ee3p l\u00fd nh\u1ea5t, v\u00e0 MIT CISR th\u1eeba nh\u1eadn \u0111i\u1ec1u n\u00e0y. Trust kh\u00f4ng th\u1ec3 \u00e9p bu\u1ed9c \u2014 n\u00f3 \u0111\u01b0\u1ee3c x\u00e2y d\u1ef1ng qua track record. \u0110\u00f3 l\u00e0 l\u00fd do t\u1ea1i sao Existing+ l\u00e0 b\u01b0\u1edbc \u0111\u1ea7u ti\u00ean th\u1ef1c t\u1ebf: b\u1ea1n ch\u1ee9ng minh AI ho\u1ea1t \u0111\u1ed9ng t\u1ed1t trong vai tr\u00f2 h\u1ed7 tr\u1ee3 tr\u01b0\u1edbc, r\u1ed3i d\u1ea7n d\u1ea7n m\u1edf r\u1ed9ng m\u1ee9c \u0111\u1ed9 t\u1ef1 ch\u1ee7 m\u00e0 kh\u00e1ch h\u00e0ng cho ph\u00e9p.<\/p>\n

      Gi\u1edbi h\u1ea1n c\u1ee7a framework n\u00e0y:<\/strong> Nghi\u00ean c\u1ee9u th\u1eeba nh\u1eadn ph\u1ea7n v\u1ec1 Agentic AI \u0111\u01b0\u1ee3c x\u00e2y d\u1ef1ng t\u1eeb conversations v\u1edbi executives, kh\u00f4ng ph\u1ea3i t\u1eeb longitudinal data nh\u01b0 ph\u1ea7n 2013-2025. T\u1ed1c \u0111\u1ed9 thay \u0111\u1ed5i c\u1ee7a AI c\u00f3 th\u1ec3 l\u00e0m cho d\u1ef1 b\u00e1o n\u00e0y sai theo c\u1ea3 hai h\u01b0\u1edbng \u2014 nhanh h\u01a1n ho\u1eb7c ch\u1eadm h\u01a1n.<\/p>\n

      H\u00e0m \u00dd Th\u1ef1c T\u1ebf: Ba C\u00e2u H\u1ecfi M\u00e0 L\u00e3nh \u0110\u1ea1o C\u1ea7n Tr\u1ea3 L\u1eddi Ngay<\/h2>\n

      N\u1ebfu b\u1ea1n l\u00e0 CTO ho\u1eb7c CEO \u0111ang \u0111\u1ecdc \u0111\u1ebfn \u0111\u00e2y, framework c\u1ee7a MIT CISR kh\u00f4ng ph\u1ea3i l\u00e0 t\u00e0i li\u1ec7u h\u1ecdc thu\u1eadt \u0111\u1ec3 b\u00e1o c\u00e1o \u2014 n\u00f3 l\u00e0 b\u1ed9 c\u00e2u h\u1ecfi chi\u1ebfn l\u01b0\u1ee3c:<\/p>\n

        \n
      1. Doanh nghi\u1ec7p b\u1ea1n hi\u1ec7n \u0111ang \u1edf m\u00f4 h\u00ecnh n\u00e0o trong 4 m\u00f4 h\u00ecnh c\u0169?<\/strong> N\u1ebfu v\u1eabn l\u00e0 Supplier thu\u1ea7n t\u00fay, b\u1ea1n \u0111ang thu\u1ed9c 15% c\u00f2n l\u1ea1i c\u1ee7a m\u1ed9t xu h\u01b0\u1edbng \u0111ang ti\u1ebfp t\u1ee5c gi\u1ea3m. \u0110\u00e2y l\u00e0 r\u1ee7i ro c\u1ea5u tr\u00fac, kh\u00f4ng ph\u1ea3i r\u1ee7i ro th\u1ecb tr\u01b0\u1eddng.<\/li>\n
      2. B\u1ea1n mu\u1ed1n tr\u1edf th\u00e0nh lo\u1ea1i doanh nghi\u1ec7p n\u00e0o trong 4 m\u00f4 h\u00ecnh AI m\u1edbi?<\/strong> C\u00e2u tr\u1ea3 l\u1eddi n\u00e0y quy\u1ebft \u0111\u1ecbnh b\u1ea1n c\u1ea7n \u0111\u1ea7u t\u01b0 v\u00e0o d\u1eef li\u1ec7u g\u00ec, x\u00e2y n\u0103ng l\u1ef1c AI n\u00e0o, v\u00e0 x\u00e2y d\u1ef1ng lo\u1ea1i trust n\u00e0o v\u1edbi kh\u00e1ch h\u00e0ng. M\u00f4 h\u00ecnh kinh doanh ph\u1ea3i \u0111\u1ebfn tr\u01b0\u1edbc AI strategy \u2014 kh\u00f4ng ph\u1ea3i ng\u01b0\u1ee3c l\u1ea1i.<\/li>\n
      3. Doanh nghi\u1ec7p \u0111ang \u1edf Stage m\u1ea5y trong AI Maturity?<\/strong> N\u1ebfu c\u00e2u tr\u1ea3 l\u1eddi l\u00e0 Stage 1 ho\u1eb7c 2, v\u1ea5n \u0111\u1ec1 kh\u00f4ng ph\u1ea3i l\u00e0 thi\u1ebfu use case AI \u2014 m\u00e0 l\u00e0 thi\u1ebfu n\u1ec1n t\u1ea3ng \u0111\u1ec3 AI t\u1ea1o ra gi\u00e1 tr\u1ecb th\u1ef1c s\u1ef1. \u0110\u1ea7u t\u01b0 v\u00e0o ki\u1ebfn tr\u00fac d\u1eef li\u1ec7u v\u00e0 v\u0103n h\u00f3a test-and-learn tr\u01b0\u1edbc khi mua th\u00eam AI tool.<\/li>\n<\/ol>\n

        <\/p>\n

        Quan \u0110i\u1ec3m C\u1ee7a Ch\u00fang T\u00f4i<\/h2>\n

        Ch\u00fang t\u00f4i l\u00e0m vi\u1ec7c v\u1edbi c\u00e1c engineering team \u1edf nhi\u1ec1u giai \u0111o\u1ea1n kh\u00e1c nhau c\u1ee7a h\u00e0nh tr\u00ecnh chuy\u1ec3n \u0111\u1ed5i n\u00e0y. V\u00e0 \u0111i\u1ec1u ch\u00fang t\u00f4i quan s\u00e1t nh\u1ea5t qu\u00e1n l\u00e0: nh\u1eefng team ti\u1ebfn nhanh kh\u00f4ng ph\u1ea3i nh\u1eefng team c\u00f3 AI tool t\u1ed1t nh\u1ea5t \u2014 m\u00e0 l\u00e0 nh\u1eefng team c\u00f3 n\u1ec1n t\u1ea3ng quality \u0111\u1ee7 v\u1eefng \u0111\u1ec3 iterate nhanh m\u00e0 kh\u00f4ng s\u1ee3 m\u1ecdi th\u1ee9 \u0111\u1ed5 v\u1ee1<\/strong>.<\/p>\n

        Khi b\u1ea1n \u0111ang ch\u1ea1y t\u1eeb Existing+ sang Customer Proxy, t\u1ed1c \u0111\u1ed9 deploy t\u0103ng l\u00ean. Khi AI b\u1eaft \u0111\u1ea7u h\u00e0nh \u0111\u1ed9ng thay m\u1eb7t kh\u00e1ch h\u00e0ng, y\u00eau c\u1ea7u v\u1ec1 \u0111\u1ed9 tin c\u1eady c\u1ee7a h\u1ec7 th\u1ed1ng kh\u00f4ng c\u00f2n l\u00e0 “ch\u1ea5p nh\u1eadn \u0111\u01b0\u1ee3c” \u2014 n\u00f3 ph\u1ea3i l\u00e0 “kh\u00f4ng th\u1ec3 th\u1ea5t b\u1ea1i.” \u0110\u00e2y l\u00e0 l\u00fd do t\u1ea1i sao quality engineering kh\u00f4ng ph\u1ea3i l\u00e0 chi ph\u00ed v\u1eadn h\u00e0nh b\u1ea1n c\u1eaft gi\u1ea3m trong qu\u00e1 tr\u00ecnh chuy\u1ec3n \u0111\u1ed5i AI \u2014 n\u00f3 l\u00e0 \u0111i\u1ec1u ki\u1ec7n c\u1ea7n \u0111\u1ec3 chuy\u1ec3n \u0111\u1ed5i \u0111\u00f3 th\u00e0nh c\u00f4ng.<\/p>\n

        MIT CISR \u0111\u1eb7t ra c\u00e2u h\u1ecfi v\u1ec1 m\u00f4 h\u00ecnh. C\u00e2u h\u1ecfi ti\u1ebfp theo l\u00e0: h\u1ea1 t\u1ea7ng quality c\u1ee7a b\u1ea1n c\u00f3 s\u1eb5n s\u00e0ng \u0111\u1ec3 th\u1ef1c thi m\u00f4 h\u00ecnh \u0111\u00f3 kh\u00f4ng?<\/p>\n","protected":false},"excerpt":{"rendered":"

        MIT CISR tracked 2,378 companies across 12 years and found a structural shift most leaders haven’t noticed. Here’s what the four Agentic AI models mean for your engineering org \u2014 and why 70% are burning money on AI.<\/p>\n","protected":false},"author":3,"featured_media":1418,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[30],"tags":[55,56,57,58,59,60],"class_list":["post-1422","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-insights","tag-agenticai","tag-aibusinessmodel","tag-digitaltransformation","tag-enterpriseai","tag-mitcisr","tag-taas"],"acf":[],"_links":{"self":[{"href":"https:\/\/bbotech.vn\/vi\/wp-json\/wp\/v2\/posts\/1422","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/bbotech.vn\/vi\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/bbotech.vn\/vi\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/bbotech.vn\/vi\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/bbotech.vn\/vi\/wp-json\/wp\/v2\/comments?post=1422"}],"version-history":[{"count":2,"href":"https:\/\/bbotech.vn\/vi\/wp-json\/wp\/v2\/posts\/1422\/revisions"}],"predecessor-version":[{"id":1426,"href":"https:\/\/bbotech.vn\/vi\/wp-json\/wp\/v2\/posts\/1422\/revisions\/1426"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/bbotech.vn\/vi\/wp-json\/wp\/v2\/media\/1418"}],"wp:attachment":[{"href":"https:\/\/bbotech.vn\/vi\/wp-json\/wp\/v2\/media?parent=1422"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/bbotech.vn\/vi\/wp-json\/wp\/v2\/categories?post=1422"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/bbotech.vn\/vi\/wp-json\/wp\/v2\/tags?post=1422"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}