AI Automates Complex ServiceNow Configurations: Dyna Software Unveils Tool for Business Users
ServiceNow partner Dyna Software introduces "Platform Copilot," an AI assistant that translates business requirements into configurations using natural language, enabling business users to build and modify the platform without developers.
AI to Eliminate ServiceNow Configuration Bottlenecks
Advanced customization of the enterprise workflow platform “ServiceNow” typically involves complex configuration tasks handled by specialized development teams. This process has long been a major bottleneck, slowing down digital transformation (DX) initiatives.
To address this challenge, ServiceNow Elite Build Partner Dyna Software has launched “Platform Copilot,” an AI assistant that enables business users to configure and build ServiceNow using natural language. The company showcased this tool at ServiceNow’s “Knowledge 2026” conference, held in Las Vegas starting May 7.
No Developers Needed: Directly Convert Business Requirements into Configurations
The standout feature of Platform Copilot lies in its “instance-aware” design. This means the tool connects directly to a customer’s ServiceNow development instance, reading existing schemas and configuration details to function seamlessly.
Ron Browning, CEO of Dyna Software, told The Register, “Many of today’s AI tools still focus on enabling developers rather than empowering business operations in a meaningful way.” Unlike generic AI coding tools that require manual input of environment-specific parameters and produce generalized outputs, Platform Copilot automatically retrieves those parameters.
Business analysts and process consultants can describe desired operations in plain text or upload images of forms from legacy systems. The tool then generates a wireframe model, validates proposed changes against the actual environment, and builds the configuration. According to Browning, this tool can handle approximately 80% of the enhancement tasks typically routed to ServiceNow development teams.
Proven Efficiency Gains
One concrete example involves an Australian partner company that needed to migrate over 200 catalog items from a legacy system to ServiceNow. Using traditional approaches, this project could have taken nearly a year. However, with Platform Copilot, the timeline was significantly reduced.
Browning envisions a future where “business users simply fill out a form stating, ‘I need this, in this format, with these parameters,’ and Platform Copilot completes the configuration without any involvement from technicians, making it ready for immediate deployment.”
This tool has the potential to eliminate resource bottlenecks in development and dramatically enhance business agility on the ServiceNow platform. It is also expected to help prevent conflicts and technical debt, common issues in large-scale ServiceNow deployments, making it a promising tool for the enterprise market.
Frequently Asked Questions
- What specific tasks can Platform Copilot automate?
- Platform Copilot allows business users to describe their requirements in natural language or upload images of legacy system forms. The AI then reads the current configuration of the ServiceNow instance, generates a wireframe model, validates proposed changes, and completes the actual configuration. It can manage approximately 80% of the enhancement tasks typically handled by ServiceNow development teams.
- What is the main difference between Platform Copilot and traditional AI coding tools?
- The key difference lies in its "instance-aware" design. While generic AI tools output code that is not tailored to specific environments, Platform Copilot connects directly to a customer's ServiceNow development instance. It automatically understands the environment's unique schemas and parameters, reducing the risk of configuration conflicts and future technical debt.
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