Key Takeaways

  • New AI-native workflow building capabilities introduced at FLOW 2026 address managed service provider task volumes, which hit a 2.4x year-over-year surge.
  • Industry data underscores a fast-growing automation and hyperautomation market that is consistently reshaping service operations.
  • New AI agents and enterprise-grade execution engines aim to close automation expertise gaps and enable more efficient scaling.

Rewst's latest announcement arrives as many managed service providers reassess how they deliver operations. MSP ticket loads, user demands, and integration complexities keep rising, and the company's FLOW 2026 event in Tampa reflected that urgency. Attendance climbed 30% compared to last year, and executives used the stage to unveil new AI-native capabilities intended to help teams automate operations without relying solely on advanced technical builders.

Managed service providers have been grappling with an automation divide for years, and that divide appears to be widening. The 2026 State of MSP Automation Report found that 95% of MSPs now consider automation essential to their strategy. Yet expertise gaps still slow progress. Many smaller providers lack full-time automation specialists, and those who employ them often struggle to keep pace with rapidly growing task volumes. Over the past year, customers executed more than 19.5 billion automated tasks, a 2.4x increase, demonstrating that once the expertise hurdle is cleared, automation adoption accelerates rapidly.

These conditions align with broader market dynamics. Analysts are tracking a similar shift across enterprise automation. The global AI automation market, for example, reached $129.9 billion in 2025 and is projected to surpass $1.14 trillion by 2033 according to Grand View Research. Hyperautomation is also expanding. The segment hit $46.4 billion in 2024 with expected compound annual growth rates of more than 17% through 2034, based on GMI Insights. Such growth signals consistent investment in orchestration technologies across sectors.

Automation adoption is accelerating at the executive level. Research from IDC in 2025 showed that 66% of CEOs reported measurable benefits from generative AI projects, particularly in operational gains. While MSPs are not always the first to adopt emerging enterprise tools, increasing ticket volumes require AI to handle triage, lifecycle management tasks, and documentation flows that human technicians previously managed manually.

Against that backdrop, the centerpiece of the announcement is a new AI agent that converts a described goal into a visual workflow. The company's CEO framed the offering as an evolution of RoboRewsty. Users describe the problem, and the AI assembles an automation on a visible canvas that technicians can edit or approve. If automation only lives in the hands of a few expert builders, scaling becomes difficult. Under the new approach, operators who understand the problem space can generate working automation independently.

Early feedback from practitioners highlights the potential impact on smaller operations. A senior automation engineer at Complete Network stated the new agent could bridge the gap between small and large MSPs. Smaller providers that could not previously dedicate staff to automation work may now reach efficiency levels typically reserved for larger teams.

A critical part of the update involves the underlying infrastructure. The platform is moving its workflow execution engine to Temporal. Temporal is widely recognized for its reliability in orchestrating durable workflows and is used by companies such as OpenAI, Netflix, and Snap. That transition suggests Rewst expects much higher workflow volumes ahead and is preparing the platform for long-term scale. It also points to a broader trend of MSP automation tools adopting enterprise-grade orchestration engines used by development and SRE teams for distributed systems.

Industry research supports this architectural shift. MSPs adopting AI automation tend to report higher throughput per technician and lower operating costs. One analysis from Acronis in 2026 cited cost reductions of between 25% and 40% through workflow efficiency. Kaseya's 2025 benchmark survey highlighted that 30% of MSPs already use AI to eliminate tedious tasks, while 20% say AI helps them scale more effectively. With MSP task loads rising faster than headcount, providers are increasingly turning toward orchestration strategies that align with ITIL 4 service operations.

This shift does not eliminate the requirement for governance. As platforms push deeper into AI-native automation, administrators will likely lean on the NIST AI Risk Management Framework to ensure responsible deployment. Growing reliance on automated systems makes oversight more critical.

At the event, executives also emphasized support for Automation as a Service. Client-facing dashboards and portals, once viewed as technically out of reach for many MSPs, become more attainable through these AI-native tools. The company positions this as an intentional effort to give more users the ability to create useful operational assets without requiring a senior automation engineer for each project.

These toolsets reflect a broader trend in the market, where AI products are reaching production readiness faster than many service providers anticipated. The primary factor determining success will be how quickly MSPs can deploy these visual workflows to reduce active task queues.

For many providers, the appetite remains strong. Rising task volumes require structural changes, and in an environment where efficiency and responsiveness carry real competitive weight, tools that scale automation without extensive engineering resources solve an immediate operational bottleneck. Platform providers are betting that AI-native automation will serve as the primary mechanism MSPs use to keep pace.