模型能力每年躍進，企業落地進度長期停滯。 Models keep getting smarter. Landing doesn't move.
Klarna 投入 4000 萬美元與 OpenAI 共建 AI 客服，一年後回退至人機混合架構；麥當勞與 IBM 合作的 AI 點單系統，於三年後終止。模型供應商止步於 API 交付，傳統顧問公司缺乏適配的方法工具，企業實施環節長期處於空白。 Klarna spent $40M on OpenAI's customer-service AI. One year later, they walked it back. McDonald's pulled IBM's AI ordering after three years. Model companies stop at the API. Consultancies don't have the tools.
Wayne InsightSpring 將 AI Implementation Science 作為交付核心。這套源自醫學界、累積 20 年實證的學科體系，是目前少有的能系統應對 AI 實施鴻溝的成熟方法論。 We bring AI Implementation Science to the enterprise—a 20-year discipline from medicine, now applied to AI.
每個項目從五維診斷開始：創新本身、外部環境、內部環境、人、實施過程。 Every project starts with a Five-Dimension Diagnostic: Innovation Itself, External Context, Internal Context, People, Implementation Process.
該模型基於 CFIR 框架改造而成。原始 CFIR 在醫學界沿用 20 年，我們在此基礎上引入三個 AI 特有參數：迭代速率、監管漂移頻率、角色重疊度。 A CFIR adaptation. Twenty years of medical implementation framework, with three AI-specific parameters: iteration velocity, regulatory drift, role overlap.
診斷階段完成後再進入方案設計，上線後以 RE-AIM 框架支撐持續優化。 Diagnose first. Decide what to build after. Maintain with RE-AIM post-launch.
五維診斷 + 分階段路線圖 + 試點立項書。¥10,000 起。
Five-Dimension Diagnostic + phased roadmap + pilot charter. From ¥10,000.
瞭解 → Learn more →1-6 個月全程支持。RE-AIM 框架管落地後的持續調優。¥50,000 / 期。
1-6 months of full-stack support. RE-AIM framework manages post-launch evolution. ¥50,000 per engagement.
瞭解 → Learn more →工程團隊親自講。Tracy Ocean 與 Hytidel 牽頭課程設計。¥5,000 起。
Taught by our engineering team. Curriculum led by Tracy Ocean and Hytidel. From ¥5,000.
瞭解 → Learn more →業務場景定製 + 系統集成 + 上線運維。¥10,000 / 個。
Custom-fit + system integration + production ops. From ¥10,000 per agent.
瞭解 → Learn more →簡歷初篩與匹配打分自動化。篩選效率 +70%，招聘週期 -40%。
Resume screening and candidate matching automated. +70% screening efficiency, -40% time-to-hire.
新媒體運營 Agent 接管選題與文案。內容產出 3x，人力成本 -50%。
Social media agent took over topic and copy. 3x content output, -50% labor cost.
3 個月陪跑，從場景篩選到 Agent 部署。3 個 AI 場景上線，團隊 100% 自主迭代。
3-month engagement, from scenario selection to agent deployment. 3 AI scenarios live, 100% in-house iteration capability.
Fortune 500 / 200 國 11,000+ 銀行 / 字節億級 DAU 應用 / 高校 RAG 文獻平台
Fortune 500 / 11,000+ banks across 200 countries / ByteDance 1B+ DAU apps / academic RAG platforms
國家級優秀指導教師 / ICPC 銀牌 / 已授權專利 / 阿里高級研發 / 字節資深架構
National Outstanding Instructor / ICPC Silver Medal / granted patents / former Alibaba Senior R&D / former ByteDance Senior Architect
AI 實施科學提出者 · 昆士蘭大學醫學博士
Proposer of AI Implementation Science · Medical PhD, University of Queensland
[ 待 Roland 補：閲讀總量 / 引用次數 / 媒體轉載 ]
[ TBD: total readership / citations / press mentions ]
[ 待 Roland 補：已合作客戶 logo 矩陣 ]
[ TBD: client logo grid ]
Anthropic / OpenAI / Claude Code / 國產模型矩陣
Anthropic / OpenAI / Claude Code / domestic model fleet
Roland 對未來五年產業方向的核心判斷。報告完整呈現 CFIR、NPT、RE-AIM 等醫學實施科學框架在 AI 場景下的適配路徑。 Roland's five-year career bet, articulated. A systematic translation of CFIR / NPT / RE-AIM from medicine to AI.
閲讀完整報告 →Read the full report →創始人 Roland Wayne，昆士蘭大學醫學博士，AI 實施科學的提出者。 Founder Roland Wayne is a medical PhD from the University of Queensland and the proposer of AI Implementation Science.
工程團隊曾在阿里寫訂單交易系統、在字節做億級 DAU 應用架構、為 CapCut 與 Dreamina 設計生成式系統、在 Fortune 500 交付過億元 AI 項目、為全球 200 國 11,000+ 銀行做金融平台、為高校做文獻平台。 Our engineering team has built order systems at Alibaba, billion-DAU architecture at ByteDance, generative systems at CapCut and Dreamina, hundred-million-RMB AI projects across Fortune 500 clients, financial platforms for 11,000+ banks across 200 countries, and academic RAG platforms.
