DXC’s Infrastructure and Orchestration Playbook for SAP Environments

The gap between AI experimentation and production deployment widens daily. Yet, DXC Technology’s recognition as a Leader in ISG’s 2025 Agentic AI Services report reveals how strategic infrastructure and orchestration choices transform possibility into operational reality. While most organisations remain trapped in proof-of-concept cycles, a disciplined approach to private AI infrastructure and multiagent orchestration enables sustainable, scalable enterprise deployment.

Orchestration as the Foundation for Enterprise AI

Orchestration frameworks are emerging as the backbone of agentic AI deployments, with providers embedding these capabilities as key differentiators. DXC’s AI Workbench supports agentic AI through an orchestration layer enabling multiagent workflows with dynamic triggers, hybrid cloud support, and auditability. This architecture allows specialised agents to collaborate using shared protocols and human-in-the-loop checkpoints—critical for SAP environments where transactional accuracy and compliance cannot be compromised.

The ISG report emphasises that orchestration will evolve into intelligent decision layers optimising agent collaboration in real time. This means SAP systems where procurement agents autonomously negotiate supplier terms, manufacturing agents optimise production schedules based on real-time demand signals, and finance agents reconcile transactions across multiple entities—all while maintaining data integrity and regulatory compliance. ​

Private AI Infrastructure for Regulated Industries

Private AI infrastructure matters particularly for regulated industries where data residency, model explainability, and audit trails aren’t optional. DXC’s work on private AI use cases and infrastructure strategies inverts the typical approach by requiring infrastructure design before application selection. For example, a pharmaceutical company running SAP for manufacturing execution cannot send production batch data to public AI services without regulatory exposure.

DXC enables on-premises or private cloud AI that maintains compliance while delivering genuine business value. Its reusable connectors and multiagent systems ensure secure, scalable deployments across enterprise ecosystems. This approach bridges legacy and modern systems across multi-cloud environments, ensuring interoperable AI adoption without forcing wholesale infrastructure replacement. ​

Integration Complexity as Strategic Differentiator

Many enterprises operate sprawling IT ecosystems combining legacy applications, cloud platforms, ERP systems, CRM platforms, and niche SaaS tools. DXC addresses the integration complexities of these systems through its AI Workbench’s integration capabilities, which connect with enterprise systems and data sources via plug-and-play connectors and an API-first framework.

The company’s strategic platforms, including DXC Complete with SAP and Microsoft, provide prebuilt integration points that accelerate deployment while maintaining enterprise-grade security and governance. Moreover, DXC’s consulting-led approach helps organisations navigate the build versus buy versus partner decision by assessing AI maturity, existing technical capabilities, and strategic differentiation opportunities before prescribing architecture. The company’s maturity framework evaluates process suitability, data availability, tech readiness, organisational trust, and governance posture.

Multiagent Collaboration in Production

The market is progressing from single assistants and goal-based agents toward ensembles of specialised agents working in collaboration. DXC’s multiagent systems enable this evolution through shared protocols, dynamic task delegation, and insight sharing that mimics human-like teamwork.

This means, for example, procurement agents could collaborate with finance agents to optimise payment timing for cash flow advantages; manufacturing agents could coordinate with quality agents to adjust production parameters proactively; and customer service agents could work with order management agents to resolve issues that span multiple business functions—all autonomously within governance guardrails.

What This Means for Mastering SAP Insiders

Adopt a consulting-led use case identification process. Begin your agentic AI journey by mapping business workflows to cognitive load, fragmentation, and autonomy potential using DXC’s proven methodology. This structured approach prevents the common mistake of selecting AI use cases based on technology novelty rather than business impact. Once the methodology is in place, prioritise processes where agentic AI can autonomously execute tasks currently requiring manual intervention.

Implement orchestration frameworks with human-in-the-loop governance. DXC’s AI Workbench approach demonstrates how dynamic triggers, hybrid cloud support, and auditability features create production-ready agentic systems. For SAP environments, this means implementing middleware that allows specialised agents to communicate, delegate tasks, and share insights while maintaining clear boundaries for autonomous action versus human oversight. Design the orchestration framework to capture decision-making logic, create audit trails for regulatory requirements, and provide observability tools that enable continuous monitoring and refinement of agent behaviors.

Design private AI infrastructure for data sovereignty and compliance. DXC’s infrastructure strategies demonstrate how to maintain compliance while delivering business value through private AI that processes sensitive SAP data without external exposure. Evaluate data residency requirements, model explainability needs, and audit trail mandates before selecting deployment architectures. Consider hybrid approaches where less sensitive processes leverage public cloud AI while critical financial, customer, or proprietary data remains in controlled environments. This architecture positions an organisation to scale AI adoption progressively while maintaining security posture and regulatory compliance throughout the journey.