企业软件永远没有“完成”的一天。一旦 SAP、Salesforce、Oracle 或 Microsoft Dynamics 正式上线，业务便会持续演变。多年来，成千上万条企业特定的规则被植入软件之中。当出现故障时，问题的答案往往分散在各处。企业每年为此投入的维护成本超过 6000 亿美元。
Enterprise software is never finished. Once SAP, Salesforce, Oracle, or Microsoft Dynamics goes live, the business keeps changing. Over the years, thousands of company-specific rules get built into the software. When something breaks, the answer is rarely in one place. Keeping it all running costs enterprises more than $600 billion a year.
Dodge AI 已筹集 265 万美元，旨在改变这一工作方式。其人工智能平台能够解决跨企业应用程序的故障和变更请求，并记录使每个系统独一无二的自定义逻辑。本轮融资由 Accel 和谷歌旗下的风投部门领投，Schema Ventures、New Build Ventures、Antler 以及来自 SAP 生态系统的天使投资人参与了跟投。
Dodge AI has raised $2.65 million to change how that work gets done. Its AI platform resolves incidents and change requests across enterprise applications. It also documents the custom logic that makes each system unique. Accel and Google’s venture arm led the round. Schema Ventures, New Build Ventures, Antler, and angels from the SAP ecosystem also took part.
为何现在至关重要？几十年来，企业应用程序的维护一直由埃森哲（Accenture）、塔塔咨询服务（TCS）和 IBM 等大型系统集成商主导。其标准操作模式是：派遣 20 到 50 名离岸员工，负责处理故障、变更请求、后台作业以及维持企业系统运行的日常琐事。
Why this matters now For decades, enterprise application maintenance has run through large system integrators like Accenture, TCS, and IBM. The standard playbook: put 20 to 50 people offshore. They handle incidents, change requests, background jobs, and the everyday operational fires that keep enterprise systems alive.
这种模式虽然能维持系统运转，却引发了更深层次的问题。修复过程缺乏文档记录，定制化需求不断堆积，技术债务在记录系统中持续累积。久而久之，企业对维护合作伙伴的依赖程度日益加深。而关于系统如何运作的真正知识，则零散地分布在工单、顾问、配置层和人员记忆之中。
That model keeps the lights on, but it creates a deeper problem. Fixes go undocumented, customizations pile up, and technical debt compounds inside systems of record. Over time enterprises grow more dependent on their maintenance partner. The knowledge of how the system actually works lives across tickets, consultants, configuration layers, and memory.
“长期以来，维护企业系统的唯一途径就是增加人手，”Dodge AI 联合创始人兼首席执行官 Rebhav Bharadwaj 表示。“我们相信，长周期智能体能够改变这一现状。Dodge AI 赋予企业持续改进并修复其任务关键型系统的能力，从而加快事故解决速度、梳理技术债务，并将维护工作中积累的知识转化为未来转型的基石。”
“For a long time, the only way to maintain enterprise systems was to add more people,” said Rebhav Bharadwaj, Co-Founder and CEO of Dodge AI. “We believe long-horizon agents can change that. Dodge AI gives enterprises the ability to continuously improve & heal their mission critical systems so incidents can be resolved faster, technical debt can be understood, and the knowledge trapped inside maintenance work can become the foundation for future transformation.”
Dodge AI 正在构建的产品Dodge AI 的平台充当企业应用的控制平面。这些应用包括 SAP、Salesforce、Microsoft Dynamics、Kinaxis、Oracle JDE 以及大型企业核心层的其他系统。它连接业务流程、ERP 定制、ITSM 系统和遗留配置。这使其能够精准定位根因、推荐修复方案，并加速现代化进程。
What Dodge AI is building Dodge AI’s platform acts as a control plane across enterprise applications. These include SAP, Salesforce, Microsoft Dynamics, Kinaxis, Oracle JDE and the other systems that sit at the core of large companies. It connects across business processes, ERP customizations, ITSM systems, and legacy configurations. That lets it pinpoint root causes, recommend fixes, and modernize faster.
Dodge AI 还将平台设计为在生产环境中运行的智能体的“事实来源”。在企业系统中，最重要的知识往往蕴藏在例外情况中：为何某个仓库的库存分配方式不同，为何某条定价规则会覆盖另一条，为何某个后台作业仅在夜间运行。
Dodge AI also designed the platform to become a source of truth for agents operating in production. In enterprise systems, the most important knowledge lives in the exceptions. Why one warehouse allocates inventory differently, why one pricing rule overrides another, why a background job runs only at night.
“前沿模型能力极强，但企业级落地仍需跨越重重障碍。Dodge AI 捕获了实现这一目标所需的规则与例外，并实现系统自愈，而非陷入无休止的转型项目，”Dodge AI 联合创始人兼首席技术官 Aditya Thakur 表示。商业进展Dodge AI 目前已与十余家企业合作，其中半数为上市公司。合作涵盖 SAP、Kinaxis 和 Microsoft Dynamics 等技术栈上的事故管理与流程优化。平台每小时处理数百次查询。这让 Dodge AI 能更广泛地洞察企业系统故障模式，以及哪些模式驱动了重复性维护工作。
“Frontier models are incredibly capable, but enterprise adoption still requires significant hill climbing. Dodge AI captures the necessary rules and exceptions for this, while self healing your systems instead of an endless transformation project,” said Aditya Thakur, Co-Founder and CTO of Dodge AI. Traction Dodge AI is already working with more than a dozen enterprises, half of them publicly listed companies. The work covers incident management and process optimization across stacks like SAP, Kinaxis, and Microsoft Dynamics. The platform fields hundreds of queries every hour. That gives Dodge AI a widening view into how enterprise systems break and which patterns drive repeat maintenance work.
成果是具体的。一辆卡车无法在仓库装货，因为收货单打印的信息有误。Dodge AI 跨 SAP、Kinaxis 和内部仓库软件追踪到了故障，并在几分钟内提供了修复方案。
The results are concrete. A truck could not load at a warehouse because a Goods Receipt Note was printing incorrect information. Dodge AI traced the fault across SAP, Kinaxis, and internal warehouse software and delivered a fix within minutes.
另一位客户曾不得不连夜进行库存规划，因为如果早上运行，SAP 就会不断崩溃。Dodge AI 对该流程进行了现代化改造，使其速度提升了 132 倍。这解放了原本负责维护该流程的 10 人团队，并将订单分配时间缩短了 8 小时。
Another customer had been running inventory planning overnight because SAP kept crashing if it ran in the morning. Dodge AI modernized the process and made it 132x faster. It freed the team of 10 people maintaining it, and improved order allocation time by 8 hours.
接下来是什么？Dodge AI 将维护视为企业 IT 更大变革的切入点。企业希望实现现代化，但首席信息官们无法承担破坏现有运行系统的风险，且日常事故消耗了紧张的预算。优先解决维护问题，能让 IT 团队从不断的“救火”中解脱出来，为现代化进程开辟更清晰的路径。今天用于解决事故的异常智能，正是未来让生产代理能够在关键任务系统中安全运行的关键。
What’s next Dodge AI sees maintenance as the entry point to a much larger change in enterprise IT. Companies want to modernize, but CIOs cannot risk breaking systems that already work, and daily incidents consume tight budgets. Solving maintenance first frees IT teams from constant firefighting and gives them a clearer path to modernization. The same exception intelligence that resolves incidents today is what lets production agents operate safely inside mission-critical systems tomorrow.
Accel 投资人 Prayank Swaroop 表示：“应用维护是企业技术领域规模最大且现代化程度最低的类别之一。Dodge AI 正在承担维持全球最重要系统日常运行的工作。通过从维护入手，该团队正在构建企业所需的上下文层，以便代理能够在生产环境中安全运行。”该公司目前正深入挖掘维护层，进入定义每个企业实际运作方式的异常情况、配置和操作逻辑。谁最了解关键任务系统，谁就能实现其自动化。Dodge AI 正在将每个企业内部隐藏的智能转化为未来运行企业 IT 的代理操作手册。
“Application maintenance is one of the largest and least modernized categories in enterprise technology,” said Prayank Swaroop, investor at Accel. “Dodge AI is taking on the work that keeps the world’s most important systems running every day. By starting with maintenance, the team is building the context layer enterprises need before agents can safely operate in production.”The company is now pushing deeper into the maintenance layer, into the exceptions, configurations, and operational logic that define how each enterprise actually runs. Whoever understands mission-critical systems best gets to automate them. Dodge AI is turning the hidden intelligence inside every enterprise into the operating manual for the agents that will run enterprise IT.
关于 Dodge AI Dodge AI 已构建了一个统一的 AI 代理平台，用于整个企业应用技术栈中 ERP 的维护与现代化。它有助于识别根本原因、解决 L1/L2 级工单，并支持您持续实现关键任务应用的现代化。
About Dodge AI Dodge AI has built the unified platform of AI agents for ERP maintenance and modernization across your enterprise application stack. It helps identify root causes, resolve L1/L2 tickets and enable you to continuously modernize your mission critical applications.
依托 Dodge 的异常智能上下文图谱，Dodge 助力全球一些大型企业实现应用自我修复和持续改进。其代理能够主动跨系统进行推理和执行，帮助 CIO 专注于更大规模的转型工作，同时无需增加人员编制或外包合同。
Built on Dodge’s exception intelligence context graph, Dodge powers some of the world’s largest enterprises to self heal and continuously improve their enterprise applications. Its agents can proactively reason & execute across systems, helping CIOs to focus on larger transformation efforts without adding headcount or outsourcing contracts.
Accel、Google AI Futures Fund 等机构投资了 Dodge AI。
Accel, Google AI futures fund and others back Dodge AI. Contributed article.
投稿文章，并非由 TNW 新闻编辑部制作，也不代表 TNW 的编辑立场。
Not produced by the TNW newsroom and does not reflect the editorial stance of TNW.