devops
This innovative tool aims to automate 80% of the tasks handled by ServiceNow development teams.
If you’re utilizing ServiceNow, the wait time for developer assistance on your projects is now a thing of the past.
Dyna Software, an established ServiceNow Elite Build Partner based in Calgary, Alberta, has introduced Platform Copilot, a groundbreaking AI tool that empowers business users—not just developers—to configure and build on the ServiceNow platform through natural language.
At ServiceNow’s Knowledge 2026 event in Las Vegas, Dyna Software CEO Ron Browning showcased this innovative tool, emphasizing the significant distinction between what ServiceNow itself offers and what his company has developed.
“Many current solutions still focus on enabling developers instead of genuinely empowering business users,” Browning remarked.
He pointed out that most AI-assisted tools within the ServiceNow ecosystem still require developer input to convert business needs into technical configurations, creating a bottleneck that Dyna Software aims to eliminate. Platform Copilot connects directly to a customer’s ServiceNow development instance, analyzing the existing schema and configuration details. When a business analyst or process consultant articulates their requirements in simple language, or uploads an image of an old form, the tool generates a wireframe model, validates the proposed updates against the instance’s real environment, and constructs the configuration.
“The tool can manage about 80% of the enhancement tasks that typically burden ServiceNow development teams,” Browning affirmed.
“My ultimate aspiration is for a business person to simply fill out a form stating, ‘I need this. I want it to be this. Here are my parameters,’ hit send, and watch as Platform Copilot processes that request. In no time, the configuration would be built and ready for deployment without any involvement from technical staff,” he explained.
The tool’s “instance-aware” design, tailored specifically for the user’s ServiceNow instance, is central to Dyna Software’s approach. While generic AI coding tools like Anthropic’s Claude or OpenAI’s Codex can produce ServiceNow configurations, they generate a one-size-fits-all output unless developers manually input specific parameters. Platform Copilot automatically pulls these parameters, thereby avoiding potential conflicts and the technical debt that can complicate large-scale ServiceNow implementations.
Browning highlighted an early example with a partner in Australia that needed to migrate over 200 catalog items from a legacy system into ServiceNow. Using traditional methods, such a project could take nearly a year. However, with Platform Copilot, a business analyst uploaded images of the old forms, reviewed wireframes generated within minutes, adjusted them, and launched production-ready configurations without needing developer input.
Government agencies also represent a significant target market for this tool. Browning illustrated a common challenge they face: a backlog of PDF forms that require digitization into a ServiceNow portal, often taking up to two years to complete. Platform Copilot accelerates this timeline by automating the myriad of discrete configuration changes that even a straightforward form demands across the ServiceNow platform.
Dyna Software developed Platform Copilot as an extension of its existing flagship product, Guardrails, an on-platform DevOps tool utilized by leading ServiceNow clients to manage customizations and safeguard against upgrade failures. This foundation grants Platform Copilot a solid understanding of how to create configurations that adhere to ServiceNow’s best practices and prevent downstream conflicts.
Having recently achieved elite partner status with ServiceNow, Dyna Software made the strategic choice to skip two previous product versions in favor of what it now refers to as version four. Browning attributed this decision to the swift advances in large language models over the past eight months.
“We ultimately decided to abandon our v3 lane and pivot directly to v4 because it surpassed our expected outcomes and objectives,” Browning shared. “In just the last eight months, advancements by companies like Anthropic and OpenAI have drastically changed what can be achieved with AI.”
Although Browning recognized constraints on what users can achieve without a DevOps team, he noted that complex application builds requiring extensive custom coding and external integrations are still better suited for developer-led initiatives with traditional AI coding assistants. Platform Copilot is specifically designed to tackle the high-volume, repetitive configuration tasks that typically clog ServiceNow backlogs, such as catalog items, workflows, forms, and agent configurations.
“Developers won’t be completely obsolete,” he asserted. “There will still be a necessity for skilled systems architects and capable developers. However, much of the routine and less glamorous work will likely be automated.”
Platform Copilot entered open beta on May 5, with full commercial availability expected by July 2026. The pricing structure is designed to lower entry barriers, following a usage-based consumption model with a minimum credit purchase of $100 and no subscription commitment required.
