Enterprise automation isn’t the problem. Seeing what it’s actually doing—that’s the real challenge.

Redwood Software has rolled out a significant observability upgrade to RunMyJobs by Redwood, aiming to make automation intelligence accessible beyond IT and into the wider business.

The update expands native analytics inside the platform, introduces a new integration with SAP Cloud ALM, and deepens ties with major observability platforms. The timing is strategic: according to Redwood’s Enterprise Automation Index 2026, 61% of enterprises say their automation tools are underutilized.

In other words, companies have automated plenty. They just can’t always measure, manage, or optimize it effectively.

From “Single Pane of Glass” to Role-Specific Visibility

Observability has long been marketed as a “single pane of glass” vision—a centralized dashboard for everything. In practice, that often becomes a cluttered control center that satisfies no one.

Redwood’s new approach is layered and ecosystem-driven. Instead of forcing every stakeholder into the same dashboard, the platform now delivers role-specific visibility across automation environments.

At the center is Redwood Insights, the platform’s built-in analytics layer. It provides:

• Pre-built and customizable dashboards

• Real-time performance tracking

• Bottleneck detection

• SLA risk monitoring

• Compliance-ready reporting

The goal is to move automation data out of technical silos and into the hands of operations leaders, finance teams, compliance officers, and executives.

That’s a meaningful shift. Automation can’t scale if only a small group of engineers understands its impact.

Native Analytics Meets Enterprise Observability Stacks

The upgrade doesn’t stop at built-in dashboards. Redwood is strengthening integrations with leading observability platforms, including:

• Dynatrace

• Splunk

• New Relic

• AppDynamics

By correlating automation telemetry with application and infrastructure performance data, enterprises can accelerate root-cause analysis and reduce mean time to resolution (MTTR).

This matters because automation failures rarely happen in isolation. A stalled workflow might originate in an infrastructure bottleneck, a database issue, or a misconfigured application dependency.

Full-stack telemetry correlation gives teams the context they need—without toggling between tools.

SAP-Centric Operations Get First-Class Treatment

For SAP-heavy enterprises, Redwood’s new SAP Cloud ALM connector may be the headline feature.

SAP Cloud ALM is increasingly positioned as a centralized control tower for SAP operations. With the new integration, RunMyJobs execution data flows directly into SAP Cloud ALM, extending observability to automated jobs and workflows that underpin critical business processes.

That includes workflows spanning both SAP and non-SAP systems—a critical distinction. Modern enterprises rarely operate in single-vendor environments.

By synchronizing execution data into SAP’s observability layer, organizations gain centralized transparency without switching platforms. It’s a practical move for SAP-centric operations that want tighter orchestration visibility without tool sprawl.

Redwood Insights Premium: No-Code, Long-Term Intelligence

Redwood also introduced Redwood Insights Premium, which extends analytics capabilities with:

• A no-code custom dashboard builder

• 15 months of historical data retention

The longer retention window enables trend analysis, executive reporting, and automation ROI measurement over time.

In many enterprises, automation ROI is assumed rather than proven. With immutable, long-term execution data, teams can demonstrate cost savings, SLA compliance, and efficiency improvements—useful for audits and budget reviews alike.

Crucially, IT teams can securely create dashboards tailored to different audiences. A data management team might require granular execution metrics, while executives may want high-level SLA risk indicators.

That flexibility supports what Redwood describes as democratized automation intelligence.

Why Observability Is Becoming Automation’s Next Frontier

Automation has matured quickly over the past decade, evolving from task schedulers to enterprise-wide orchestration platforms. But visibility hasn’t always kept pace.

As companies pursue autonomous enterprise strategies, blind spots become expensive.

• Missed SLAs can trigger contractual penalties

• Manual reporting creates bottlenecks

• Lack of telemetry correlation increases MTTR

• Compliance gaps introduce risk

Redwood’s strategy aligns with a broader industry shift: automation platforms are no longer judged solely by what they execute, but by how transparently and predictably they operate.

Observability is becoming a core differentiator.

Business Outcomes, Not Just Dashboards

Redwood frames the update around measurable impact. Organizations leveraging the expanded observability ecosystem can:

• Reduce MTTR through cross-platform telemetry correlation

• Eliminate manual reporting and “IT-as-translator” bottlenecks

• Monitor SLA risks in real time

• Demonstrate automation ROI with long-term execution data

For enterprises struggling with underutilized automation investments, better visibility may be the missing link between deployment and value realization.

The Bigger Picture: Automation Grows Up

The autonomous enterprise vision depends on more than scripts and schedulers. It requires trust, predictability, and shared visibility.

By embedding analytics natively, integrating deeply with SAP environments, and connecting to broader observability ecosystems, Redwood is positioning RunMyJobs as both an execution engine and an intelligence layer.

If automation is the nervous system of modern operations, observability is the feedback loop that keeps it healthy.

And as 2026 unfolds, enterprises may find that the real competitive edge isn’t how much they automate—but how clearly they can see it.

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