devops
The tool is meant to take the place of 80% of the work that requires ServiceNow dev teams
If you’re a ServiceNow customer, you can stop waiting for developers to help you on a project.
Dyna Software, an eight-year-old ServiceNow Elite Build Partner based in Calgary, Alberta, has launched Platform Copilot, the first agentic AI tool that lets business users and not just developers configure and build on the ServiceNow platform using natural language.
Dyna Software CEO Ron Browning showed it off at ServiceNow’s event Knowledge 2026 in Las Vegas this week, telling The Register that it draws a sharp distinction between what the platform vendor offers and what his company built.
“A lot of things today are still focused on enabling developers, as opposed to really enabling business,” Browning said.
He noted that most AI-assisted tools in the ServiceNow ecosystem still require a developer in the loop to translate business requirements into technical configurations, which is the bottleneck Dyna Soft set out to eliminate. Platform Copilot connects to a customer’s ServiceNow development instance and reads the existing schema and configuration details. When a business analyst or process consultant describes what they want in plain language, or uploads an image of a legacy form, the tool generates a wireframe model, validates the proposed changes against the instance’s actual environment, and then builds the configuration.
Browning said the tool can handle roughly 80 percent of the enhancement work that typically flows through ServiceNow development teams.
“The goal that I really have, to be honest, is a situation where you could have a business person literally just fill in a form that says ‘I need this. I want it to be this. Here are my parameters,’ hit send. And that just goes directly into Platform Copilot,” he said. “And then basically, the next step, you’ve got it built, and you’re ready to move it over. And technical folks didn’t really have to be involved at all.”
The “instance-aware” design, meaning it is built for the user’s own ServiceNow instance, is central to Dyna Software’s pitch. Generic AI coding tools like Anthropic’s Claude or OpenAI’s Codex can generate ServiceNow configurations, but they produce generic output unless a developer manually supplies environment-specific parameters, Browning said. Platform Copilot pulls those parameters automatically, which Browning said prevents the kind of conflicts and technical debt that can otherwise plague large ServiceNow deployments.
He pointed to an early use case with a partner in Australia that needed to migrate more than 200 catalog items from a legacy system into ServiceNow. Under a traditional approach, that project could stretch close to a year. With Platform Copilot, a business analyst uploaded images of the legacy forms, reviewed generated wireframes in minutes, made adjustments, and pushed production-ready configurations without developer intervention.
Government agencies represent another target market. Browning described a common scenario: a backlog of PDF forms that need to be digitized into a ServiceNow portal, with estimated timelines stretching to two years. Platform Copilot compresses that timeline by automating the dozens of discrete configuration changes that even a simple form requires across the ServiceNow platform.
The company built Platform Copilot on top of its existing flagship product, Guardrails, an on-platform DevOps toolset used by some top ServiceNow customers to manage customizations and protect against upgrade failures. That foundation gives Platform Copilot its understanding of how to build configurations that comply with ServiceNow’s best practices and avoid downstream conflicts.
Dyna Software, which recently achieved elite partner status with ServiceNow, abandoned two earlier versions of the product to skip ahead to what it calls version four, a decision Browning attributed to rapid advances in LLMs over the past eight months.
“We ended up basically scrapping our v3 lane and focusing on our v4, simply because it ended up surpassing in terms of what our outcomes and goals were,” Browning said. “Things like Anthropic, OpenAI, in the last probably eight months, they have gone lightning speed in terms of what you can actually do with them.”
Browning acknowledged limits to what users can do without a DevOps team. Complex application builds that require extensive custom coding or external system integrations remain better suited to developer-led work with traditional AI coding assistants, he said. Platform Copilot targets the high-volume, repetitive configuration work that clogs ServiceNow backlogs such as catalog items, workflows, forms, and agent configurations.
“Developers are not really going to go away completely,” he said. “There’s going to be need for really smart systems architects and capable developers. But the ones that are doing grunt work and non-glamorous stuff, I do believe that’s going to get phased out.”
Platform Copilot entered open beta on May 5, with full commercial availability targeted for July 2026. He said pricing is set to allow a low barrier of entry and follows a usage-based consumption model with a $100 minimum credit purchase and no subscription commitment. ®
