Deckhand:ShipStation 的 AI 帮助台
ShipStation Global 工程团队在 Amazon Bedrock AgentCore 上构建了名为 Deckhand 的 AI IT 帮助台,以 Slack 机器人形式回答常规 IT 与公司问题、识别报错截图,并创建或更新 Jira Service Management 工单。该智能体使用 Strands Agents SDK 与 Amazon Bedrock 上的 Anthropic Claude,通过 AgentCore Gateway 把分类、工单管理、用户解析和图像分析等能力以 MCP 工具方式接入,知识库则索引 Confluence 文章、公司内网页面和 Slack 历史讨论。据 ShipStation 与 AWS 介绍,上线后三个月的频道覆盖中解决了 97.5% 的咨询,员工正面反馈率为 96%;团队还用 DSPy 的递归语言模型(RLM)从 Slack 历史线程中抽取已验证的解决方案,并让机器人在真人已接手或纯社交消息时保持沉默。
它给出了一种把智能体嵌入员工既有工作流、并用历史对话沉淀知识库的企业落地样本,但效果数据来自厂商自述。
This post is co-written with Kenneth Salmon, Edward Boswell, Jack Armstrong, Robert Banh, and Nick Ciubotariu from ShipStation Global.
Answering the same IT questions and clearing routine tickets drains time that IT teams could spend elsewhere. To reclaim it, the ShipStation Global Engineering team built Deckhand, an AI-powered IT help desk agent for Slack, on Amazon Bedrock AgentCore.
ShipStation Global is the leading intelligent shipping and logistics platform for small and mid-sized shippers, and it operates on a simple belief: the more efficient its teams are, the better it delivers for customers. Deckhand puts that belief to work. It answers routine IT and company questions from a curated knowledge base, reads error-message screenshots, and creates and updates Jira Service Management tickets.
In this post, we discuss how ShipStation architected Deckhand, which resulted in resolving 97.5 percent of incoming channel queries while earning a 96 percent positive feedback rating by employees (Figure 1).
Figure 1: 3-month channel coverage and positive feedback
Business challenge
The problem Deckhand solves is the one every IT team will recognize: the same questions are routinely asked, error messages are posted after business hours, and information needs to be gathered from different teams. At ShipStation Global, those conversations lived in a busy help desk Slack channel, where employees asked, and IT answered, one thread at a time. The answers usually already existed in a Confluence how-to article, on a company intranet page, or in a thread from eight months earlier. Finding them was the hard part.
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