精選故事
Ramp 成功削減 70% 以上工具成本，並推動全公司 AI 應用
當 Ramp 規模擴大到超過一千名員工時，分散的工具便導致團隊協作效率低落、營運成本上升，也阻礙 AI 的導入。Ramp 最後選擇 Notion 作為具 AI 功能的整合工作空間，將原本不同用途、互不串接的六款工具整併為一。工具重複與混亂為之大減，Ramp 更成功將每位員工的工具支出降低 83%，一年節省高達數十萬美元；所有工作流程全部內建 AI，讓團隊整體運作速度快了三倍。
對抗工具過度分散的挑戰
Ramp 是歷來成長最快的公司之一。該公司在初期，讓每個團隊自由依其所需來運作。然而，隨著員工人數突破千人，這樣的彈性卻帶來意想不到的阻力：團隊難以高效協作、資訊受限於部門壁壘無法流通；造成 AI 幾乎無法在這樣互不串連的系統之間運作。日益複雜的工具組合，不僅造成效率低落，更造成 Ramp 團隊空有大量知，但卻無法發揮的困境。
Notion 很快成為 Ramp 的選擇，幫助 Ramp 解決工具過度分散的問題。將原本分散的工具使用合而為一，包括專案管理、產品規劃到文件與知識庫，Ramp 得以賦能團隊，提升生產力，同時讓整個公司的協作與共識更加順暢。在 AI 功能的加持下，團隊不必再浪費時間尋找資訊，，可以專注協作於更有意義的工作。
內建 AI 功能的單一工作空間
經過評估多種平台後，Ramp 發現 Notion 的獨特之處，在於能夠徹底重塑企業工作架構。Notion 具備工作流程可自訂、即時協作功能、可與現有工具無縫整合，更能全面導入強大 AI 功能；這些正是 Ramp 所需要的解方，得以打破部門之間的資訊壁壘，消除成長限制。
導入後短短幾個月，Notion 已成為 Ramp 的「作業系統」。從產品到行銷，各部門紛紛捨棄原本彼此孤立的工具，提高工作的整合程度。如今，所有組織知識都匯聚於單一互聯的工作中樞，每天的工作都深度融入 AI 功能。
**企業級搜尋不只搜尋結果，更能給你真正的答案：**Notion AI 的搜尋功能，能夠跨越全公司的知識內容、專案文件進行搜尋，甚至像是 Slack 和 GitHub 等連線工具的內容也能搜，在數秒內找出最相關的資訊。
具備完整脈絡的 AI 協作：團隊可在日常工作區域內，參考全公司內部知識的完整脈絡，來直接撰寫文件、整理會議紀要、更新專案進度，大大減少人工作業。
自動化處理顧客回饋：產品營運團隊可透過 Notion 與直接面對顧客的前線團隊緊密協作，集中收集、標記顧客回饋， 將回饋內容直接反應到產品開發藍圖，加快迭代速度，更精準滿足顧客需求。
Everybody has a responsibility right now to bring their teams up the curve of AI usage and to get them more comfortable being AI native.
更少資源，達成更多成果
Ramp 已明顯感受到營運效率的提升，且對整體財務表現帶來正向影響。取消重複的軟體訂閱、將工作集中於單一工具上；該公司每年可節省數十萬美元的直接成本。每位員工的生產力工具支出，與過去使用的工具組相比，已降低超過 70%。
這些效益不僅止於財務層面。在導入 Notion AI 工作空間後，員工搜尋資訊的速度提升**最多達 60%，**部分團隊更表示，專案完成速度快了三倍。各部門也紛紛找出更高效的作業方式：
產品與工程團隊透過 AI 驅動的狀態更新與功能追蹤需求，讓產品藍圖管理與回饋流程更加順暢、精簡。管理層能即時掌握所有即將上線的專案，並透過自動化提醒機制，第一時間得知時程異動。
行銷與業務團隊整合上線計畫與業務支援流程，並善用 AI 即時回答各種問題，範圍可從行銷活動成效分析，到顧客通話摘要等等。
IT 與採購團隊藉由集中管理工作空間、文件與新進員工培訓，強化整體資安防護與系統擴充。
Ramp 的成功轉型並非偶然，而是源自於堅實的合作夥伴關係，以及致力於打造全新工作模式的願景。而 Notion 的客戶成功與支援團隊也全力以赴，提供詳盡的導入指引、完整的培訓課程，並持續與 Ramp 團隊緊密合作。Ramp 的成功案例證明：要真正實現一個相互串連、具備 AI 能力的工作空間，關鍵並不僅是導入新工具就可以，必須重新思考團隊之間要如何更順暢地協作。
有了 Notion，Ramp 的每一位員工，都擁有專屬 AI 助理。
Build agents. Delete repetitive workflows.
In mid-2025, Ramp started experimenting with autonomous Notion Agents, and Ben’s systems mind took off. “The goal now,” he says, “is to build your way out of your workflows. When a single agent can complete your tasks thousands of times—that’s the productivity magic.”
Today, the work does not start from scratch each week. People set up agents once, and those agents keep running across shared, durable workflows the whole company can count on.
There are more than 300 Notion Agents getting things done every day. Here are some of the most impactful:
The Product Q&A Oracle—a Slack-connected agent that answers up-to-the-moment questions about Ramp’s products.
Sales Feedback Categorizer—maps inbound sales feedback to the roadmap and closes the loop when features ship.
Referral Bonus Roy—identifies customers who should receive a referral bonus and routes the work to completion.
Enablement Eddie—helps the GTM org find the right customer-facing assets and answer nuanced questions fast.
Customer Advocacy Miner—surfaces high-satisfaction customers and compelling use cases across many sources.
AI Compass—guides Ramplings to the right AI tool for a given job.
RCARoundup—turns incident threads into structured summaries in a Notion database.
The Underwriter—a policy-grounded Q&A agent for underwriting.
AI Inspector—summarizes AI news into a daily digest.
Creative Chris—routes creative requests and nudges work forward.
Custom Agent Carrie—helps teammates build better agents based on what Ramp has learned.
Ben describes the change in simple terms: “Agents get created in three minutes between meetings,” then “hours of manual operational work disappear.”
Advice you can steal
As Ben sees it, the world needs more builders.
His north star is simple: turn everyone into a builder who makes fewer low-stakes decisions, more high-stakes judgments. “It’s important to think about productivity as a combination of speed and efficiency, but also quality and output,” he says.
On the other side of the AI adoption curve, Ramp has found that people not only move faster. They also feel better about the work.
As Ben puts it: “There are two dopamine hits along the way. One is when you crack the problem and automate work you don’t like doing. The other is when, on the other side, things go a little more quiet, you have more time in your day.”
So what can you take from Ramp’s path?
Do not wait for a perfect button. Use AI enough to learn where it breaks.
Consolidate the work so AI can navigate the same context and workflows as your team.
Start small. Nail the quality of each unit of AI work, then automate.
Keep humans focused on judgment calls.
If you give people the right tools and the right foundation, more of the company becomes builders, and the work gets better—not just faster.
問題不只是因為工具太多，而是這些工具彼此之間互不串連。團隊在跨部門尋找與運用資訊時，總是困難重重，工作效率低下。