The finance operating platform introduces a conversational AI assistant designed to explain financial performance without generating numbers, while expanding into two of the world's largest enterprise finance markets.
The new platform connects ERP, WMS, TMS, HRIS and operational data sources to automate decisions, surface risks, and improve profitability across industrial operations.
New Atlassian Marketplace Offerings Target Execution Visibility, Governance, and Strategic Alignment in the AI Era
Federal AI Security Push Signals New Expectations for Continuous Validation and Threat Readiness
For decades, ERP systems in government have primarily served as systems of record, managing financial transactions, budgets, workforce data, and operational information. But as public sector organizations face growing pressure
For years, enterprise resource planning (ERP) teams have watched the AI race from the sidelines. Bigger models, faster inference and higher benchmark scores. Impressive on paper. Rarely useful when provisioned.
Artificial intelligence is rapidly moving from experimentation to execution across enterprise software. Yet many food manufacturers and distributors still face a familiar challenge: how to automate operational work without introducing
Enterprise AI has a context problem. Many organizations now use AI assistants across their business applications. But critical business logic often remains scattered across multiple systems. As a result, teams
Priority's aiERP offers a practical demonstration of where AI integration in enterprise software is heading. After watching the ERP industry talk about AI for years, it's worth examining what happens
As enterprises rush to adopt AI-powered software development tools, many organizations are discovering that generating a prototype is no longer the hard part. The real challenge begins when experimental AI-generated