xAI 让 Grok Bot 承担采购工作，Haggle Bot 找出超 10 万美元直接节省

我们给Grok Bot访问供应商支出、合同和使用数据的权限。它发现了超过10万美元的直接节省。

企业有大量难以密切跟踪的支出。这包括随着团队变动而积累的未使用SaaS席位，以及在没有任何人检查合同是否仍然匹配产品使用情况之前就到期的续约。同样的问题也出现在重复采购中，在这种情况下，重新订购上次购买的物品通常比根据当前需求调整数量或寻找更好的价格更容易。

许多这样的工作值得做，但很难通过手工操作来证明其合理性。我们想看看Grok Bot能够接管其中多少工作。

Grok Bot让代理的设置和使用变得容易得多。你告诉或展示给Bot你希望它做什么，赋予它访问正确工具的权限，然后让它执行，无需逐步设计工作流程。

对于采购，我们创建了一个我们亲切地称之为Haggle Bot的Bot。它可以读取我们的供应商支出、合同和使用数据，然后利用市场价格和竞争报价寻找节省并准备谈判。到目前为止，它已经识别了超过10万美元的直接节省，处理了更大规模的SaaS续约，并将相同的方法应用于办公用品等重复采购。

我们认为Haggle Bot指向了Bot在公司内部更广泛的角色。给Bot一个明确的工作目标，并赋予其所需工具的访问权限，它就可以在该角色内持续处理工作，而无需每项任务都进行指示。

采购的目标是支持业务，并最大化每一美元供应商支出的价值。许多现有采购工具在供应商接入和合同管理层面帮助实现这一点。

但许多最重要的采购工作依赖于那些系统未涉及的问题：

这些问题很常见，但根据公司阶段的不同，可能不值得手工解决。快速增长的公司经常为了避免花时间追踪这些问题而损失资金。这就是Bot可以发挥作用的地方。

我们启动Haggle Bot的方式是描述我们希望它执行的工作。它的指令是学习我们的供应商支出，并将这些知识转化为有证据支持的节省，同时由人进行最终决策。

然后我们让机器人访问 Slack、Notion、Drive、Gmail、Hex 和 Ramp。Haggle Bot 使用这些系统建立了一个大约 125 个活跃供应商的工作地图。

这些记录为 Haggle Bot 提供了足够的背景，使其可以做出决策并继续工作，而无需有人逐步指示下一步。我们还定义了 Haggle Bot 应该在哪里停止并交回控制权。我们允许它自行处理内部研究和协调，但在花钱、接受条款或向供应商发送内容时，必须获得明确批准。

一个容易开始的地方是审计 SaaS 支出。Haggle Bot 向我们的 IT 团队索取已分配座位和最近使用的数据，然后将其与我们支付的费用进行比较。对于一个产品，它发现有 43 个付费座位在过去 90 天内没有使用，并将这些名字发回以供审核和降级。这节省了 14,220 美元。

我们以相同的方法应用于另一款 SaaS 产品，Haggle Bot 发现每年有 85,662 美元的未使用 SKU。由于该产品按月计费，这些削减立即降低了支出。

在这些 SaaS 审计中，我们注意到 Haggle Bot 经常在未被要求的情况下采取下一步行动。在一个案例中，Haggle Bot 需要弄清楚谁负责该关系以及我们对供应商的计划。它从 Ramp 列出的负责人开始，给他们发消息，并跟进每次交接，直到找到掌握正确背景的工程师以做出决策。它没有在第一次答案不完整时停止，而是确定了需要的额外信息，并主动去获取。

当 SaaS 续约到期时，我们要求 Haggle Bot 审查报价并探索替代方案。Haggle Bot 将续约报价与我们当前的年化支出进行比较，并建议不要选择那些在实际使用前增加座位的选项。

然后它将可信的替代方案与我们当前的使用情况进行定价，并将这些比较结果与当前使用数据结合，来确定我们在哪些方面具有谈判优势。

接着，Haggle Bot 制定了谈判方案并起草了供我们编辑的回复。我们设定了希望保留的最小数量并批准发送。Haggle Bot 提出了初始报价，同时设定了我们愿意提高的内部价格目标。

每周五，我们办公室团队会为下一批新员工订购科技产品、零食和卫生用品。我们使用另一种机器人来下订单，我们称之为“亚马逊机器人”。它登录我们的企业账户，可以跨Gmail、Ramp、Google Sheets、Rippling和Vercel运作，以了解员工人数和办公室平面图。

我们并没有把这当作固定的亚马逊订单，而是让讨价还价机器人（Haggle Bot）负责在各处采购每周订单。讨价还价机器人可以查看物资消耗速度、每栋楼的座位图，以及过去四次订单的报价和购物车信息。然后，它会创建一个可编辑的Google表格，让办公室运营团队可以更改新入职员工的数量，并查看每套新员工用品包所需的数量。

讨价还价机器人随后会在亚马逊、Costco、Uline和沃尔玛之间比较购物。如果找不到更便宜的相同产品，它可以寻找其他品牌的等效产品，然后将比较结果收集到一张表格中以供审核。

然后，它会起草一封邮件发送给我们的亚马逊采购代表，附上同日竞争对手的价格，并通过我们的企业折扣计划申请特定商品的降价。

一旦价格确定，讨价还价机器人会将订单委派回亚马逊机器人来执行。在一次操作中，该流程将一笔14,629美元的科技产品订单降至6,143美元，降低了58%。

讨价还价机器人展示了在简单意图表达背后可以完成多少工作。一旦机器人有了目标并获得了实现目标的权限，它可以在各个系统中持续推进，而无需额外干预。

讨价还价机器人还帮助我们看到机器人在工作流程中自然适用的地方，以及哪些地方需要更多指导。许多采购工作依赖于如何与供应商沟通的判断，我们仍会修订它的邮件，以调整语气，并确保向供应商提供适当的信息。

讨价还价机器人让我们对机器人在长期持续执行同一任务时能做什么产生了兴趣。上述例子来自一个较短的时间窗口，但许多值得采取行动的信号只有在支出和使用情况变化时才会逐渐显现。在接下来的一年里，我们预计讨价还价机器人能自行发现更多类似工作，并进一步推进，然后才需要人工介入。

加入企业版 Grok Bot 等待名单：https://cursor.com/contact-sales?product=grok-bot.

We gave Grok Bot access to vendor spend, contracts, and usage data. It found more than $100,000 in direct savings.

Enterprises have a lot of spend that is hard to track closely. That includes unused SaaS seats that accumulate as teams change, and renewals that come up before anyone has checked whether the contract still matches how the product is being used. The same problem shows up in recurring purchases, where it is often easier to reorder what was bought last time than to adjust quantities to current needs or shop around for a better price.

A lot of this work is worth doing, but hard to justify doing by hand. We wanted to see how much of it Grok Bot could take on.

Grok Bot makes agents much easier to set up and use. You tell or show a Bot what you want it to do, give it access to the right tools, and let it execute without designing the workflow step by step.

For procurement, we created a Bot we affectionately named Haggle Bot. It reads our vendor spend alongside contracts and usage data, then uses market pricing and competitive quotes to find savings and prepare negotiations. So far, it has identified more than $100,000 in direct savings, worked through larger SaaS renewals, and applied the same approach to recurring purchases like office supplies.

We think Haggle Bot points to a broader role for Bots inside a company. Give a Bot a clear job and access to the tools it needs, and it can keep taking on the work within that role without being told each task.

The goal of procurement is to support the business and get the most out of every dollar spent on vendors. A lot of existing procurement tools help with this at the vendor intake and contract-management level.

But much of the most important procurement work hinges on questions those systems do not address:

These questions are common, but depending on the stage of the company, they may not be worth answering by hand. Fast-growing companies often leave money on the table to avoid spending time chasing them down. That is where a Bot can be useful.

We started Haggle Bot by describing the job we wanted it to do. Its instruction was to learn our vendor spend and turn that knowledge into evidence-backed savings, with a person making the final decisions.

We then gave the Bot access to Slack, Notion, Drive, Gmail, Hex, and Ramp. Haggle Bot used those systems to build a working map of roughly 125 active vendors.

That record gave Haggle Bot enough context to make decisions and keep working without a person spelling out each next step. We also defined where Haggle Bot should stop and hand back control. We let it handle internal research and coordination on its own, but required explicit approval for spending money, accepting terms, or sending something to a vendor.

An easy place to start was auditing SaaS spend. Haggle Bot asked our IT team for assigned-seat and last-used data, then compared that with what we were paying for. For one product, it found 43 paid seats with no activity in the previous 90 days and sent the names back for review and downgrade. That added up to $14,220 in savings.

We applied the same approach to another SaaS product and Haggle Bot found $85,662 a year in unused SKUs. Because the product was month-to-month, those cuts reduced spend immediately.

One thing we noticed in these SaaS audits was how often Haggle Bot took the next step without being asked. In one case, Haggle Bot needed to figure out who owned the relationship and what our plans were for the vendor. It started with the owners listed in Ramp, messaged them, and followed each handoff until it reached the engineers with the right context to make a decision. Rather than stop when the first answer was incomplete, it identified what additional information it needed and then proactively sought it out.

When a SaaS renewal came up, we asked Haggle Bot to review the quote and explore alternatives. Haggle Bot compared the renewal offer with our current annualized spend and recommended against the options that added seats ahead of demonstrated usage.

It then priced credible alternatives against our current footprint and used those comparisons alongside current usage data to work out where we had negotiating leverage.

From there, Haggle Bot worked out the negotiation and drafted the response for us to edit. We set the minimum quantities we wanted to keep and approved the send. Haggle Bot made an opening bid while setting an internal price target we were willing to go up to.

Every Friday, our office team orders tech, snacks, and hygiene supplies for the next group of new hires. We use another Bot to place that order, which we call "Amazon Bot." It's logged into our corporate account and can work across Gmail, Ramp, Google Sheets, Rippling, and Vercel to understand headcount and the office floor plan.

Rather than treat that as a fixed Amazon order, we gave Haggle Bot the job of shopping the weekly order around. Haggle Bot can see how quickly supplies are being used, the seat map for each building, and the quotes and carts from the last four orders. From that, it builds an editable Google Sheet where office ops can change the number of incoming hires and see the quantities needed for each new-hire kit.

Haggle Bot then shops the order across Amazon, Costco, Uline, and Walmart. If it cannot find the same product for less, it can look for an equivalent from another brand, then collect the comparisons in a sheet for review.

It then drafts an email to our Amazon procurement rep with same-day competitor prices and asks for lower pricing on specific line items through our business discount program.

Once pricing is settled, Haggle Bot delegates the order back to Amazon Bot to send. In one run, the process brought a $14,629 tech order down to $6,143, a 58% reduction.

Haggle Bot shows how much work can be done behind a simple expression of intent. Once a Bot has a purpose and the access to pursue it, it can keep making progress across systems without additional intervention.

Haggle Bot has also helped us see where Bots fit naturally into a workflow, and where they need more guidance. A lot of procurement work depends on good judgment about how to communicate with vendors, and we still revise its emails to calibrate on tone and make sure we're providing vendors with the right level of information.

Haggle Bot has made us interested in what Bots can do when they keep working on the same job over time. The examples above came from a short window, but many of the signals worth acting on only emerge gradually as spend and usage change. Over the next year, we expect Haggle Bot to find more of that work on its own and take it further before a person needs to step in.

Join the Grok Bot for Enterprise waitlist：https://cursor.com/contact-sales?product=grok-bot.