DXC builds multi-model AI foundation on Bedrock
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DXC Technology has built a unified multi-model foundation for DXC OASIS based on Amazon Bedrock, providing access to Anthropic Claude, Amazon Nova, Meta Llama, and open-weight model families through a single interface. DXC says that since OASIS became generally available in March 2026, it has reduced average resolution time by 95% across 56 measured use cases. DXC states that regardless of which model is used, customer data remains within the AWS data boundary: prompts and completions are not shared with third-party model providers and are not used to train the underlying foundation models. Model availability varies by AWS Region. DXC says its next step is to evaluate Amazon Bedrock AgentCore in conjunction with its existing orchestration layer and, as new frontier models become available on Bedrock, extend the system to more regulated workloads.
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- AWS Machine Learning BlogHow DXC Technology built a multi-model AI substrate on Amazon Bedrock
DXC Technology built DXC OASIS, a harness for mission-critical IT operations, on a governed multi-model substrate in Amazon Bedrock that provides access to Anthropic Claude, Amazon Nova, Meta Llama, and open-weight models through one managed interface, with Bedrock Guardrails, AWS PrivateLink, and serverless scaling as system-level controls. DXC separates the substrate from its own orchestration, governance, and assurance layer, and reports that since general availability in March 2026, DXC OASIS has reduced resolution time by 95% on average across 56 measured use cases. The post describes the architecture, model routing, and authority tiers, and states that DXC is evaluating Amazon Bedrock AgentCore alongside its current orchestration layer.
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