Rewst Unveils New AI Capabilities, Bringing Agent-Powered Automation To The Forefront

‘You’ll be able to build more complex automations with fewer man-hours,’ says Rewst CEO Aharon Chernin. ‘You’ll troubleshoot faster, spend less time wrestling with code and more time delivering value.’

Rewst on Wednesday announced an expansion of the company’s AI-powered automation platform, headlined by its intelligent assistant, RoboRewsty, and the launch of a new model context protocol (MCP) Server. Both innovations aim to transform how MSPs create, manage and scale automations, shifting AI’s role from “passive advisor to active operator.”

Introduced in 2024 with auto-documentation capabilities, RoboRewsty has matured into a co-pilot deeply embedded across the Rewst platform. With new tools that interpret natural language, assist with logic and provide real-time insights, RoboRewsty enables MSPs to build and manage automations faster and more intuitively than ever.

“Our first thoughts on AI at Rewst were really focused on intelligent workflows,” Rewst CEO Aharon Chernin told CRN. “But what we’re working toward now is an intelligent platform. RoboRewsty is playing a much larger role, not just supporting workflows but actively building them, troubleshooting them and guiding users at every step.”

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The new features include building workflows by instantly generating end-to-end automations from natural language prompts; real-time help with writing and debugging Jinja expressions; log analysis and troubleshooting recommendations when workflows fail; platform-native documentation search; and automated documentation for easier maintenance and knowledge sharing.

“If you get stuck while building, you can just ask RoboRewsty what to do, and it’ll tell you,” said Chernin (pictured above). “You can even tell it what you want to automate and it’ll build it for you.”

Another announcement, unveiled at Rewst’s Flow conference in Tampa, Fla. this week, are an MCP server and trigger, tools designed to connect external AI agents with the vendor’s automation engine through a secure, structured interface.

“The MCP server is like mission control,” Chernin said. “It lets agents like ChatGPT or Claude interact with your automations, not just advise on them, but actually trigger, manage and complete them.”

By authenticating into the Rewst environment, external AI agents gain selective access to workflows designated by the MCP trigger, ensuring both security and control, “If you don’t want an AI to access certain automations, just don’t give them the trigger,” Chernin said.

The architecture allows MSPs to bring their own AI models into the fold avoiding vendor lock-in while enabling powerful integrations, “We’re not going to force you to use our AI,” Chernin added. “You can build your own, and when it’s ready to do things in the world, it can use Rewst to get it done.”

And to guide MSPs through this, Rewst also unveiled the intelligent platform maturity model which a new framework to help MSPs assess where they stand, and where they’re headed, in their AI journey.

Rewst partner Paul Vedder, co-founder of West Palm Beach, Fla.-based VXIT, said AI is solving for the mundane, “But there’s still a human behind the wheel who has to pay attention.”

“That’s what Rewst is doing too,” he told CRN. “I don’t necessarily think it’s coming for everyone’s jobs just yet. Maybe it will in the future, but a hammer doesn’t swing itself, a wrench doesn’t turn itself. It’s a fantastic tool.

“There are a lot of promises and we’re starting to see real-world examples of how AI is helping us,” he added. “But the biggest thing is that it’s taking care of those small, repetitive tasks, the ones we really shouldn’t be spending our time on so we can focus on things that matter more.”

For Chernin, the most important aspect is accessibility.

“Right now, our best customers are the ones who really want to automate,” he said. “But with AI, even the ones on the fence can just talk to the system, and they’ll be successful.

“You’ll be able to build more complex automations with fewer man-hours,” he added. “You’ll troubleshoot faster, spend less time wrestling with code and more time delivering value.”

Originally Appeared Here