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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...

MTREXA Intelligence Team
2 min read
Key Architectural Takeaways
  • 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.

Verified Sources & Technical Citations
FREQUENTLY ASKED QUESTIONS

Questions & Direct Answers

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.
TECHNICAL DISCOVERY & FEASIBILITY

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