Opkey has launched Opkey Design Studio, a new module within its application lifecycle automation platform that uses a suite of artificial intelligence (AI) agents to support ERP and HCM implementation planning, the company said.
The tool is designed to automate parts of discovery, requirements gathering and solution design.
Design Studio extends Opkey’s application lifecycle automation platform by embedding AI agents into activities that traditionally rely on spreadsheets, and documentation-heavy processes. The system connects statement-of-work definition, requirements capture, process mapping and configuration planning into a more integrated workflow.
AI Agents Trained on Enterprise Application Data
Opkey Design Studio uses a visual design canvas that allows implementation teams to model business processes and solution architectures using a drag-and-drop interface, with embedded AI agents supporting design decisions.
AI agents operate in the background to recommend configurations, surface dependencies and maintain traceability between requirements and system design decisions.
The AI agents assist with generating requirement questionnaires, validating scope, mapping processes and supporting downstream testing and configuration activities.
Design Studio is powered by Argus, a domain-specific model trained on enterprise application and performance data. The company states that more than 20 AI agents support different phases of the cloud application lifecycle, including define, design, configure, test and train.
Systems integrators receive a dedicated instance of Argus and can train their instance on their own methods and intellectual property to customize recommendations and workflows while keeping their data separate.
Impact on Oracle and Workday Implementations
Opkey says the module is intended to reduce delivery effort by limiting manual, labor-intensive processes and allowing consultants to focus more on advisory and higher-value activities.
According to the company, early users have seen reductions in project timelines for Oracle and Workday implementations, in some cases by as much as 50%, driven by automated discovery, design and configuration workflows.
Greater traceability and reduced rework can improve project margins and resource use for systems integrators. By shortening delivery cycles and standardizing planning activities, firms may be able to manage a higher volume of concurrent implementations and submit more competitive bids with clearer timelines and cost structures.
As more organizations seek automated approaches to cloud migrations, tools like this are likely to draw interest from those exploring agentic AI for ERP lifecycle management.
What This Means for ERP Insiders
Agentic AI is moving upstream in the ERP lifecycle. Rather than focusing solely on testing or post-implementation optimization, vendors are now targeting the high-risk discovery and design phases where scope creep and misalignment typically originate.
ERP planning is becoming more structured and data-driven. If AI can standardize requirements capture and enforce traceability from statement of work through configuration, organizations may see fewer downstream defects and change orders.
Agentic AI may speed early ERP project planning. Tools that embed domain intelligence into design workflows could reshape how SOWs are created, validated and executed, particularly in large-scale Oracle and Workday cloud programs.
