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JDXpert Launches JDX+ Platform with AI-Guided Job Architecture Builder for Enterprise HR

By Editorial Staff

TL;DR

JDXpert's JDX+ gives organizations a competitive edge by standardizing job data to accelerate recruiting, ensure fair pay, and clarify career paths faster than competitors.

JDX+ uses AI-guided workflows, standardized templates, and audit trails to systematically transform scattered job information into a governed enterprise asset with consistent controls.

JDX+ creates fairer workplaces by ensuring accurate pay and clear career paths while freeing HR teams to focus on strategic workforce decisions that benefit employees.

JDX+ features a patent-pending Job Architecture Builder that completes projects in weeks instead of years using AI to import and enrich existing job descriptions.

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JDXpert Launches JDX+ Platform with AI-Guided Job Architecture Builder for Enterprise HR

JDXpert has launched JDX+, a next-generation job information management platform designed to help organizations standardize, govern, and analyze job information with AI-guided workflows and a first-of-its-kind Job Architecture Builder. The platform addresses a persistent enterprise problem where job information is scattered across HRIS, ATS, compensation tools, and spreadsheets, creating inconsistent definitions, slow approval cycles, and compliance exposure.

Built on 15 years of experience and more than a thousand enterprise implementations, JDX+ translates best practices into productized structure and governed workflows. According to JDXpert's research, 92% of organizations with high job and skills data coverage are planning major governance changes in the next 12-18 months because coverage without control fails to deliver value. The platform turns unmanaged job information into a governed enterprise asset, enabling faster recruiting, fair and accurate pay, and clear career paths.

Key capabilities include the Job Architecture Builder, which allows organizations to create governed job architecture using existing frameworks and maintain it over time. This "update, not restart" approach helps customers complete job architecture work in weeks rather than years, avoiding expensive reset projects. The platform also features standardized job templates with 100+ out-of-the-box fields, configurable rules, and role-based controls to ensure consistency across the enterprise.

Workflow and audit trail functionality provides task-based workflows with SLAs, notifications, and exportable history of edits and approvals, keeping downstream systems clean and giving compliance teams confidence. Analytics and query tools replace spreadsheet projects with in-product dashboards and natural-language queries that return AI-guided direct answers, enabling teams to identify issues and act quickly.

JDX+ integrates with existing HR tech stacks, coexisting with HRIS, ATS, and compensation systems. While HRIS remains the system of record for employee data, JDX+ serves as the system of entry for job information, making it consistent, approved, and synchronized across platforms. The platform introduces a patent-pending Job Architecture Module that can save organizations hundreds of thousands of dollars by preventing repeated architecture projects.

"In today's enterprise, job information is constantly evolving, yet most organizations still treat it as a one-time project," said Justin Raniszeski, CEO of JDXpert. "With JDX+, job data becomes a governed, audit-ready asset instead of a recurring headache." The platform uses AI to assist with job architecture, importing and enriching existing job descriptions, and drafting job content using JDXpert's proprietary library, always with human-in-the-loop review.

JDX+ is available now, and organizations can request a demonstration at https://www.jdxpert.com. The platform represents a shift from legacy approaches that rely on disconnected documents and manual approvals to a modern experience with governed structure, permissioned controls, and in-product insights. For existing JDX customers, migration to JDX+ is optional, not required.

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Editorial Staff

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