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DXC Technology 基于 Amazon Bedrock 搭建多模型 AI 底座

How DXC Technology built a multi-model AI substrate on Amazon Bedrock

Why we picked it

DXC 在 70 国做 IT 托管服务,把 AI 架构拆成 Bedrock 多模型底座加自建治理层,agent 的编排、权限、审计全走一套 harness。做企业级 agent 落地的开发者值得看它的分层设计,尤其受监管行业的团队。

DXC Technology 为 70 个国家的受监管客户运营关键任务 IT 托管服务,其在 Amazon Bedrock 上构建了名为 DXC OASIS 的 Human+AI 运营模式。该架构的核心思路是把架构拆成两层:一层是具备弹性的多模型底座,另一层是负责编排、治理和审计 AI agent 的 trusted harness。

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在技术机制上,DXC 通过 Amazon Bedrock 接入多个基础模型,避免绑定单一模型供应商;trusted harness 层则统一管理 agent 的调度、权限和审计日志,使 AI 自动化在合规要求严格的行业里仍可被监督和追溯。这种分层设计让模型可以随时替换或升级,而治理层保持稳定。

对于在金融、医疗等受监管行业部署 AI agent 的企业来说,这个案例展示了如何用托管服务(Bedrock)加上自建治理层来平衡自动化效率与合规审计需求,其架构拆分思路也可借鉴到非 Bedrock 的技术栈中。

Original · AWS Machine Learning Blog

How DXC Technology built a multi-model AI substrate on Amazon Bedrock

DXC Technology runs mission-critical managed IT services for regulated organizations across 70 countries. Learn how DXC built DCX OASIS, its Human+AI operating model, on a governed multi-model substrate in Amazon Bedrock, separating a resilient model substrate from a trusted harness that orchestrates, governs, and audits AI agents at scale.

Industry Coordinates & Source Verification

This report is categorized under AITOP's "Products" desk, focusing on US frontier AI labs and Silicon Valley technology leaders. Within our cross-regional analytical framework, it directly maps to AI developer toolchains, coding agents, and engineering workflows. Key entities and technical topics under continuous tracking include Amazon Bedrock, DXC Technology, AI agent, 企业架构.

Primary source verification: published directly by AWS Machine Learning Blog with first-party authority.