Redwood Software announced the launch of Redwood Insights, an AI-powered observability solution integrated into Redwood's flagship orchestration platform RunMyJobs.
This launch represents a pivotal moment in Redwood's broader AI vision: to empower organizations with the intelligence and autonomy needed to scale operations, drive efficiency and focus human potential on strategic outcomes.
Redwood Insights transforms how businesses monitor, analyze and act on critical workflows by delivering workflow analytics, AI-powered narratives and real-time operational intelligence. The result is total visibility and orchestration precision, allowing teams to anticipate bottlenecks before they occur and optimize performance for critical business processes across complex IT and business environments.
These role-based views offer strategic benefits, including:
- Enhanced observability: Reduce failures, minimize downtime and lower operational costs with deep visibility of the health and performance of your critical business processes.
- From insights to action: Take proactive action and deliver faster time to resolution with real-time analytics that predict bottlenecks and rapidly optimize workflows.
"Redwood's AI vision is grounded in delivering real value and real outcomes—not hype," said 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."
Redwood Insights follows the release of Redwood's AI documentation assistant as part of a broader roadmap that introduces AI capabilities across the entire automation lifecycle. It leverages both agentic and generative AI technologies and is focused on delivering three core outcomes for customers:
- AI agents for autonomous operations and optimization: Operate autonomously to optimize performance, resolve issues and interact with remote systems, making automation more accessible across your organization.
- AI co-pilots for automation and collaboration: Collaborate directly with users to accelerate the automation and management of critical business processes, cutting hours from automation development.
- AI assistants for information and guidance: Be empowered by contextual guidance, instant information and actions to take, eliminating human error and significantly accelerating response time.
Together, these capabilities define Redwood's commitment to seamlessly integrating AI into Redwood products to collaborate, inform and optimize—moving users from reactive to predictive and proactive orchestration.
Redwood Insights is currently in preview with customers and will roll out broadly later this year. The new capabilities support Redwood's mission of delivering autonomous operations, intelligent collaboration and actionable guidance — all natively embedded in the way teams already work today.
The Latest
Businesses that face downtime or outages risk financial and reputational damage, as well as reducing partner, shareholder, and customer trust. One of the major challenges that enterprises face is implementing a robust business continuity plan. What's the solution? The answer may lie in disaster recovery tactics such as truly immutable storage and regular disaster recovery testing ...
IT spending is expected to jump nearly 10% in 2025, and organizations are now facing pressure to manage costs without slowing down critical functions like observability. To meet the challenge, leaders are turning to smarter, more cost effective business strategies. Enter stage right: OpenTelemetry, the missing piece of the puzzle that is no longer just an option but rather a strategic advantage ...
Amidst the threat of cyberhacks and data breaches, companies install several security measures to keep their business safely afloat. These measures aim to protect businesses, employees, and crucial data. Yet, employees perceive them as burdensome. Frustrated with complex logins, slow access, and constant security checks, workers decide to completely bypass all security set-ups ...
In MEAN TIME TO INSIGHT Episode 13, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud networking strategy ...
In high-traffic environments, the sheer volume and unpredictable nature of network incidents can quickly overwhelm even the most skilled teams, hindering their ability to react swiftly and effectively, potentially impacting service availability and overall business performance. This is where closed-loop remediation comes into the picture: an IT management concept designed to address the escalating complexity of modern networks ...
In 2025, enterprise workflows are undergoing a seismic shift. Propelled by breakthroughs in generative AI (GenAI), large language models (LLMs), and natural language processing (NLP), a new paradigm is emerging — agentic AI. This technology is not just automating tasks; it's reimagining how organizations make decisions, engage customers, and operate at scale ...
In the early days of the cloud revolution, business leaders perceived cloud services as a means of sidelining IT organizations. IT was too slow, too expensive, or incapable of supporting new technologies. With a team of developers, line of business managers could deploy new applications and services in the cloud. IT has been fighting to retake control ever since. Today, IT is back in the driver's seat, according to new research by Enterprise Management Associates (EMA) ...
In today's fast-paced and increasingly complex network environments, Network Operations Centers (NOCs) are the backbone of ensuring continuous uptime, smooth service delivery, and rapid issue resolution. However, the challenges faced by NOC teams are only growing. In a recent study, 78% state network complexity has grown significantly over the last few years while 84% regularly learn about network issues from users. It is imperative we adopt a new approach to managing today's network experiences ...
From growing reliance on FinOps teams to the increasing attention on artificial intelligence (AI), and software licensing, the Flexera 2025 State of the Cloud Report digs into how organizations are improving cloud spend efficiency, while tackling the complexities of emerging technologies ...
Today, organizations are generating and processing more data than ever before. From training AI models to running complex analytics, massive datasets have become the backbone of innovation. However, as businesses embrace the cloud for its scalability and flexibility, a new challenge arises: managing the soaring costs of storing and processing this data ...