Redwood Brings Observability Intelligence to SAP Automation with New Insights Release

Redwood Software has introduced a significant update to its workload automation platform with the launch of Redwood Insights, a new embedded observability and analytics layer integrated into its SAP-certified RunMyJobs platform. Redwood Insights is now in preview release and will be generally available later this year.

Redwood Insights embeds AI-powered agents, co-pilots, and assistants into SAP automation workflows to enable autonomous operations and contextual decision making. The solution offers real-time dashboards, predictive SLA monitoring, and KPI-driven intelligence. Redwood is differentiating itself in the intelligent automation space with SAP certification and cloud-native architecture.

“Redwood’s AI vision is grounded in delivering real value and real outcomes—not hype,” stated Charles Crouchman, Chief Product Officer at Redwood Software. “With Redwood Insights, we’re helping our customers go beyond dashboards. We’re empowering our customers with observability that leads directly to action—powered by AI, tailored to every role and designed to keep your business in perfect sync.”

On August 5, Redwood’s product management team held a webinar to discuss the product’s latest features and what’s coming next, including Redwood Insights.

Built-in Operational Intelligence for SAP and Beyond

At the heart of Redwood Insights is a set of real-time analytics and forecasting tools that give visibility into job executions across complex, hybrid environments. Unlike traditional job schedulers or standalone monitoring solutions, Redwood integrates these capabilities directly into the automation fabric.

Users gain access to:

• Predefined KPIs for standard SAP business processes such as financial closing, order-to-cash, and procurement.
• Real-time SLA forecasts that leverage historical patterns to predict potential deadline breaches before they happen.
• Drill-down dashboards that identify performance bottlenecks linked to specific job chains, systems, or data sources.
• Cross-system observability covering on-premises SAP ECC, SAP S/4HANA, cloud platforms, data lakes, and enterprise file transfers.

These capabilities are especially crucial for organizations managing SAP in hybrid or multi-cloud environments, where automation depends on multiple systems and platforms. By offering a unified view of workload health, Redwood Insights enables IT operations and business teams to share the same data, minimizing blame and accelerating problem resolution.

Automation Meets Business Context

A key difference in Redwood’s approach is its focus on aligning job performance metrics with business results. For example, a late invoice batch or a failed supply chain task is not only seen as a technical mistake but also evaluated based on its impact on the business, such as causing delays in revenue recognition or order fulfillment.

This context-aware approach mirrors a broader industry shift toward intelligent workload automation (IWA), where automation tools transition from simple back-office utilities to strategic drivers of business performance.

What This Means for SAPinsiders

Observability is becoming essential in IWA. For SAP professionals managing complex, multi-system landscapes, visibility into end-to-end processes is critical for performance and compliance. Teams can shift from firefighting disruptions to optimizing SLAs and aligning automation results with business KPIs. As a result, organizations can potentially reduce unplanned outages and gain more value from their SAP automation investments.

Automation tools must now incorporate business context, not just job metrics. Redwood’s approach to observability focuses on aligning technical events with business outcomes, such as missed invoices or delayed shipments. SAP leaders should focus on solutions that offer role-specific dashboards, KPI benchmarking, and process-aware alerts. The ability to visualize dependencies across SAP and cloud systems provides enterprises with a competitive edge in agility and accountability.

AI-powered insights are shaping the next phase of SAP operations. The shift toward predictive automation is accelerating, with Redwood Insights highlighting how embedded AI and historical data modeling can facilitate more informed decision-making. Enterprises evaluating similar tools should focus on native SAP integration, quick deployment, and extensive system support. Best practices include testing observability on high-value processes first, then expanding to broader workflows with cross-team input. By adopting this approach, SAP insiders can future-proof their operations while achieving measurable efficiency and resilience.