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 mo...
- Enterprise AI Governance
- Agentic Orchestration
- Model Substrate Architecture
- Managed IT Services Automation
Executive Briefing
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.
Strategic Industry Analysis
Strategic Context: This highlights the core engineering challenge of decoupling AI inference from business-logic orchestration, mirroring MTREXA's focus on building governed, production-grade agentic workflows.
Engineering & Architecture Perspective
Most enterprises treat AI agents as black-box plug-ins; DXC's approach proves that scaling AI requires a rigid 'trusted harness' to abstract underlying models, allowing for rapid model swapping without breaking downstream ERP and IT service workflows.
Architectural Takeaways
- Enterprise AI Governance: Impact on scalable enterprise infrastructure and operational automation.
- Agentic Orchestration: Impact on scalable enterprise infrastructure and operational automation.
- Model Substrate Architecture: Impact on scalable enterprise infrastructure and operational automation.
- Managed IT Services Automation: Impact on scalable enterprise infrastructure and operational automation.
Source & Attribution
This intelligence briefing is sourced from How DXC Technology built a multi-model AI substrate on Amazon Bedrock and synthesized by the MTREXA Intelligence Team.
Questions & Direct Answers
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