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
As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...
Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...
AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...
Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...
A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...
IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...
A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...
According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...
2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...
Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...