Sofia Yan

Speaker Booking · 演講邀約 Speaker Booking

邀請一個真的活在企業 AI 現場 (也就是還在踩雷)的人
講給你的團隊聽。
Bring in someone who actually lives inside enterprise AI — and is still stepping on landmines —
to talk to your team.

不是 AI 顧問,也不是 AI 工程師,
而是「被 AI 同事 carry、又得負責教 AI 怎麼當同事」的新型態「AI 管理師」。
Not an AI consultant, not an AI engineer —
but a new kind of role: the "AI manager" who gets carried by her AI coworkers and has to teach AI how to be one.

Sofia Yan (嚴世紀),Numbers Protocol 共同創辦人 & CGO、文組 AI 專家。 政大華語教學碩士、7+ 年 AI 新創 Co-Founder。 專長把企業 AI 導入、內容溯源、AI 治理講給文組人也聽得懂 (主辦方說我可以講人話,這點我可以保證 XD) Sofia Yan, Co-Founder & CGO of Numbers Protocol, a humanities-trained AI expert. MA in Teaching Chinese as a Second Language (NCCU), 7+ years as an AI-startup co-founder. I specialise in explaining enterprise AI adoption, content provenance, and AI governance so non-technical people actually get it (organisers say I speak human — that part I can guarantee).

Numbers 社群 1K → 13萬 (+12,900%, Sofia 帶領) Numbers community 1K → 130K (+12,900%, led by Sofia) Numbers 平台 190 國 · 月流量 60億 Numbers platform 190 countries · 6B monthly views 7+ 年新創 Co-Founder 7+ years startup co-founder SXSW · UNICRI · GNI · AAJA · APJF · 經理人Manager Today

Best fit

什麼場合最適合?When is it the best fit?

我最能發揮的場景,是聽眾已經知道 AI 重要,但還卡在「怎麼讓團隊真的開始用」。如果你要的是工具清單或一小時速成課,可能會有更適合的人。 I'm at my best when the audience already knows AI matters but is stuck on "how do we get the team to actually use it." If you want a tool list or a one-hour crash course, someone else may fit better.

適合A good fit

  • 企業主管 offsite:需要對齊 AI 導入方向與團隊語言。 Leadership offsites: aligning on AI direction and a shared team vocabulary.
  • AI adoption workshop:想從一個真實 workflow 開始改。 AI adoption workshops: starting from one real workflow.
  • 媒體、內容、創作者社群:需要理解內容溯源與 C2PA 為什麼重要。 Media, content, and creator communities: understanding why content provenance and C2PA matter.
  • 非工程背景團隊:想知道自己在 AI 時代可以站在哪裡。 Non-engineering teams: figuring out where they stand in the AI era.

不太適合Not a fit

  • 只想要一串最新 AI 工具教學,沒有組織情境或導入目標。 Just want a list of the latest AI tools, with no organisational context or adoption goal.
  • 單純 KOL 業配或產品背書。 Pure influencer promotion or product endorsement.
  • 期待一次演講直接取代內部流程設計與後續 owner。 Expecting one talk to replace internal process design and an ongoing owner.
  • 需要純工程細節、模型調參或 infra implementation 深潛。 Need pure engineering detail, model tuning, or an infra-implementation deep dive.

主打主題Signature topics

文組人也能領導的 AI 導入 AI adoption a humanities person can lead

為什麼 95% 的企業 AI 導入會失敗?因為他們把 AI 當工具,不是當同事。一個科技麻瓜的 7 年 AI 新創田野筆記。 Why do 95% of enterprise AI rollouts fail? Because they treat AI as a tool, not a coworker. Seven years of field notes from a self-confessed tech muggle inside an AI startup.

AI 同事方法論:Numbers 案例拆解 The AI coworker methodology: a Numbers teardown

我們團隊 AI 同事比人類同事多 4.5 倍。Amy、Jordan、Clara、小鳳、阿張、老科,名字、權限、KPI 全公開。砍掉 Slack、Airtable、Asana 那一週的真實血淚。 Our team has 4.5× more AI coworkers than human ones. Amy, Jordan, Clara, Xiao-Feng, A-Zhang, Lao-Ke — names, permissions, and KPIs all public. Plus the real pain of the week we cut Slack, Airtable, and Asana.

內容溯源與 AI 時代的信任戰役 Content provenance and the trust war of the AI era

當生成式 AI 幾秒就能造一張逼真影像,新聞、創作、IP 怎麼保護?C2PA、ERC-7053、TAEA 框架。Numbers 與 UNICRI / Google News Initiative / 伙影的實戰案例。 When generative AI can fake a photorealistic image in seconds, how do we protect news, creative work, and IP? C2PA, ERC-7053, the TAEA framework — with real cases from Numbers' work with UNICRI, the Google News Initiative, and 伙影.

過往演講與課程Past talks & courses

2024-2026 主題課程 / Keynote 2024–2026 courses / keynotes

  • 「重建 AI 時代的信任:一個可實踐的數位內容來源框架」(2026) "Rebuilding Trust in the AI Era: A Practical Framework for Digital Content Provenance" (2026)
  • "Protecting Creativity in the Age of AI" — Stage talk(2026)— stage talk (2026)
  • 「職場必備 Vibe Coding 實作課」, 企業內訓系列 "Workplace Vibe Coding hands-on course", corporate training series
  • 「顧問業的 AI 協作方法」, 課程教材 v3 "AI collaboration methods for consulting", courseware v3
  • 經理人課程(Manager Today) Manager Today course
  • Gen AI 小聚「從工具到同事:全面導入 AI 工作流」 Gen AI Meetup: "From Tool to Coworker — Adopting AI Workflows End to End"

國際 panel / 媒體International panels / media

  • SXSW 2023 Pitch(Metaverse & Web3 冠軍,Numbers 團隊) SXSW 2023 Pitch (Metaverse & Web3 winner, Numbers team)
  • Asia Pacific Journalism Forum 2025 講者(speaker)
  • AAJA Webinar 「Surviving the AI Flood: Trust & Revenue」(主持,2025/06)"Surviving the AI Flood: Trust & Revenue" (host, 2025/06)
  • PL Summit 23 | LabWeek23 (Istanbul)
  • 倫敦 2023:AI 於創意產業之變革性技術 London 2023: Transformative tech for the creative industries
  • 日內瓦 2024:如何在 AI 驅動的世界對抗假訊息 Geneva 2024: Fighting disinformation in an AI-driven world
  • UNICRI (聯合國 ICJ 研究所)合作(UN interregional crime & justice institute) collaboration
  • Google News Initiative 補助獲獎(2025)grant recipient (2025)
  • NTU TEC Talk (台大創創中心 S2EP1)(NTU entrepreneurship center, S2EP1)
  • 伙影通訊社(與余志偉攝影記者) 伙影 news agency (with photojournalist Yu Zhi-Wei)

真實的 receipts,不是 PPT 數字 Real receipts, not slideware numbers

這些不是 marketing claim,是 Numbers Protocol 內部跑出來的真實成果,可以在演講中拆給你看。 These aren't marketing claims — they're real results from inside Numbers Protocol, and I can break them down live in a talk.

Sofia 在 Numbers Protocol 帶領的成果 Results Sofia led at Numbers Protocol

  • Numbers 平台社群 1,000 → 130,000 人(+12,900%) Numbers community 1,000 → 130,000 (+12,900%)
  • Numbers 內容驗證平台覆蓋 190 個國家 · 月流量 60 億 Numbers content-verification platform: 190 countries · 6B monthly views
  • 國際媒體報導 Numbers / Sofia 工作:Politico、Meet Global、Tech Company News、ANI International coverage of Numbers / Sofia: Politico, Meet Global, Tech Company News, ANI

2025 年 4 月全面 AI 導入後(Numbers 內部) After full AI adoption in April 2025 (Numbers internal)

  • 內部 MVP 從需求到完成 ≤ 24 小時(原本需要數週) Internal MVP from request to done in ≤ 24 hours (previously weeks)
  • 年度 SaaS / Infra 支出 -60% Annual SaaS / infra spend −60%
  • 全職人類同事剩 4 位 · 線上 AI 同事 15 位 + 實習 8 位 4 full-time human coworkers · 15 online AI coworkers + 8 interns
  • 每位人類同事平均同時跟 3 位 AI 同事協作 Each human works with ~3 AI coworkers at once

Numbers Protocol 是 C2PA 會員、被 NIST AI Risk Management Framework 引用、共同設計 ERC-7053 和 ERC-7517 標準、與 Adobe / Microsoft / Nikon / Reuters 合作、67M+ 數位資產註冊。 Numbers Protocol is a C2PA member, cited by the NIST AI Risk Management Framework, co-designed the ERC-7053 and ERC-7517 standards, works with Adobe / Microsoft / Nikon / Reuters, and has 67M+ digital assets registered.

FAQ

Sofia 通常用什麼語言演講? What language does Sofia present in? +

中英文皆可。台灣企業內訓多以中文進行;國際場合(國外總部、跨國團隊)用英文。雙語場合也常見,視聽眾組成決定。 Both Chinese and English. Corporate training in Taiwan is usually in Chinese; international settings (overseas HQs, cross-border teams) in English. Bilingual sessions are common too, depending on the audience.

演講主題有哪些?可以客製嗎? What topics are available? Can they be customised? +

三大主軸:(1) 文組人也能領導的 AI 導入,(2) AI 同事方法論(Numbers 案例拆解),(3) 內容溯源與 AI 時代的信任戰役。可依貴公司產業、團隊規模、AI 成熟度客製。 Three pillars: (1) AI adoption a humanities person can lead, (2) the AI coworker methodology (a Numbers teardown), (3) content provenance and the trust war of the AI era. Each can be tailored to your industry, team size, and AI maturity.

Sofia 接受怎樣的演講邀約? What kinds of bookings does Sofia take? +

企業內訓 (in-house corporate training)、產業論壇 keynote、公開研討會、podcast / 媒體訪談。不接 KOL 業配、不開公開線上課。 In-house corporate training, industry-forum keynotes, public seminars, and podcast / media interviews. No influencer promotions and no public online courses.

海外活動可以嗎? Are overseas events possible? +

可以。Sofia 過去曾在 SXSW (Austin)、AAJA-Asia、UNICRI 等國際場合演講,能處理跨國時差與旅程。 Yes. Sofia has spoken at SXSW (Austin), AAJA-Asia, UNICRI and other international venues, and is comfortable with cross-border travel and time zones.

為什麼是 Sofia? Why Sofia? +

她是少數同時具備「政大華語教學碩士背景」與「7+ 年 AI 新創 Co-Founder 實戰」的講者。能用文組人聽得懂的語言講透 C2PA / agentic workflow / AI 治理,而不是把工程師概念照搬。 She's one of the few speakers who pairs an MA in Teaching Chinese as a Second Language (NCCU) with 7+ years of hands-on AI-startup co-founding. She explains C2PA / agentic workflows / AI governance in language non-technical people understand, instead of just copying engineer concepts.

邀約方式How to book

目前以下列任一方式聯絡,48 小時內回覆: Reach out through any of the following — reply within 48 hours:

報價會依形式、地點、規模與客製深度而定。歡迎在 email 裡先描述場景,我們可以快速判斷適合的規格。 Pricing depends on format, location, scale, and customisation. Describe your scenario in the email and we can quickly suggest the right format.