Redwood Software is set to showcase its agentic orchestration platform at SAP Sapphire 2026, positioning automation as the missing execution layer in enterprise AI adoption. The company’s RunMyJobs platform aims to help organizations operationalize AI across complex SAP and hybrid cloud environments.

As enterprises accelerate investments in artificial intelligence and cloud platforms, a persistent gap remains between experimentation and execution. Redwood Software is using SAP Sapphire 2026 to address that gap, introducing what it describes as an “agentic orchestration” approach—designed to move AI from isolated use cases into fully operational business processes.

At the center of the announcement is RunMyJobs by Redwood, which acts as an execution layer across hybrid cloud systems. The platform enables organizations to coordinate workflows between AI agents, enterprise applications, and data systems—essentially turning AI outputs into actionable, governed processes.

The concept of agentic orchestration refers to the ability of AI agents to not only generate insights but also execute tasks autonomously within defined enterprise controls. In Redwood’s model, this includes multi-agent coordination, where different AI systems communicate and collaborate to complete complex workflows.

This capability is becoming increasingly relevant as enterprises adopt a growing ecosystem of SAP technologies, including SAP Business Technology Platform, SAP Cloud ERP, and AI-driven tools like SAP Joule. While these platforms provide powerful capabilities, integrating them into cohesive, end-to-end processes remains a challenge.

Redwood’s approach focuses on bridging that integration gap. By exposing existing business logic to AI systems through open protocols such as Model Context Protocol (MCP), the platform allows enterprises to connect large language models and third-party agents directly to operational workflows. This creates a structured pathway for AI-driven automation while maintaining enterprise-grade governance.

Governance is a central theme in Redwood’s positioning. According to Gartner, more than 70% of IT leaders cite concerns around the proliferation of AI agents, particularly in areas such as security, compliance, and auditability. Redwood’s platform addresses this by embedding observability, policy controls, and monitoring into every stage of execution.

This is particularly important for enterprises operating in regulated industries or managing mission-critical systems. Without proper oversight, autonomous AI workflows can introduce risk rather than efficiency. Redwood’s orchestration layer is designed to ensure that AI-driven actions remain transparent, traceable, and aligned with business rules.

Another key aspect of the platform is its integration with SAP’s broader ecosystem. As an SAP-endorsed application for workload automation, RunMyJobs is deeply embedded within SAP environments, enabling capabilities such as automation actions within SAP Business Accelerator Hub and enhanced observability through SAP Cloud ALM.

This level of integration positions Redwood as more than just an automation vendor. It places the company within the broader enterprise infrastructure stack, alongside major ecosystems like Microsoft and Google, where orchestration layers are becoming critical for managing distributed systems.

The platform also addresses a common pain point in SAP transformations: technical debt. As organizations migrate to cloud-based ERP systems through initiatives like RISE with SAP, they often encounter legacy integrations, redundant infrastructure, and fragmented workflows. Redwood’s unified orchestration model aims to simplify these transitions by standardizing automation and reducing the need for custom workarounds.

From a market perspective, the timing aligns with broader enterprise trends. According to IDC, global spending on AI and automation technologies continues to grow at a double-digit pace, driven by demand for operational efficiency and digital transformation. However, the ability to operationalize AI at scale remains a key differentiator between early adopters and mature organizations.

Redwood’s focus on agentic execution reflects a shift in how enterprises are thinking about AI. Rather than viewing it as a standalone capability, organizations are increasingly treating AI as part of a larger system that includes data pipelines, business logic, and automation frameworks.

For enterprise IT and marketing operations teams—particularly those managing complex customer data, campaign automation, and analytics workflows—the implications are significant. Agentic orchestration could enable more dynamic, real-time decision-making across systems, reducing manual intervention and improving responsiveness.

Still, adoption will depend on execution. Integrating AI agents with legacy systems, ensuring data consistency, and maintaining governance at scale are non-trivial challenges. Platforms like RunMyJobs will need to demonstrate not only technical capability but also measurable business outcomes.

Redwood’s showcase at SAP Sapphire suggests that the next phase of enterprise AI will be defined less by model innovation and more by orchestration. In that context, the ability to connect, govern, and execute across systems may become the foundation of the autonomous enterprise.

Market Landscape

Agentic orchestration is emerging as a critical layer in enterprise technology stacks, sitting between AI models and business operations. As organizations adopt multiple AI tools and cloud platforms, the need for coordination, governance, and execution is becoming more pronounced.

Vendors across the ecosystem are moving to address this gap, integrating orchestration capabilities into cloud, automation, and data platforms. This trend reflects a broader shift toward autonomous enterprise models, where workflows are increasingly driven by AI but governed by structured systems.

Top Insights

• Redwood Software introduces agentic orchestration to operationalize AI across SAP environments, enabling autonomous workflows with built-in governance, observability, and enterprise-grade security controls.
• RunMyJobs acts as an execution layer connecting AI agents, business logic, and enterprise systems, addressing the gap between AI experimentation and real-world operational deployment.
• Deep integration with SAP platforms like BTP, Cloud ERP, and Joule positions Redwood within the core enterprise stack, supporting complex hybrid cloud and data environments.
• Governance remains a key challenge, with over 70% of IT leaders concerned about AI agent proliferation, making controlled orchestration a critical enterprise requirement.
• The platform aims to reduce technical debt in SAP transformations by standardizing automation and enabling unified orchestration across SAP and non-SAP systems.

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