In the late 1990s, enterprise operations still ran on paper. Purchase orders arrived by fax, invoices came by post and shipping documents traveled in envelopes taped to pallets. The goal
Jean-Jacques Bérard, Chief Product and Technology Officer at Esker, explains how AI agents can resolve exceptions and coordinate finance processes across ERP environments, with clear boundaries around every action they
George Kurdin, CEO and Co-Founder of Monk, discusses how AI agents are changing accounts receivable, why ERP integrity matters and where human judgment remains essential. BEYOND RULES AND ROUTINE FOLLOW
The Microsoft-first AI orchestration platform brings industrial equipment data, enterprise applications, and automated workflows together, aiming to help manufacturers and asset-intensive businesses move from AI experimentation to operational execution.
The logistics provider reports estimated six-figure annual savings after centralizing procurement and accounts payable across 36 warehouses and integrating automated invoice workflows with NetSuite.
Eric DiProspero, Chief Revenue Officer at OpenGov, discusses how connected ERP platforms, trusted data and responsible AI are reshaping the way public sector organisations operate and serve their communities.
The history of enterprise system transformation is marked by complexity and hard trade-offs. Whether the platform is an Enterprise Resource Planning (ERP) suite, a customer relationship management (CRM) system, a
PairSoft Appoints Vijay Vidiyala to Lead Product and AI Strategy for ERP-Embedded Finance Automation
The former SAP and Model N executive joins PairSoft as Chief Product & Technology Officer, taking responsibility for product development and engineering as the company expands its AI-driven accounts payable
The Oxford-based Oracle Cloud HCM specialist has introduced ScheduleX within its X Cloud Platform, bringing bulk loading, automated validation and duplicate detection to a complex area of workforce configuration.
David Binny, CEO of Panaya, explores how autonomous testing, Change Impact Analysis and continuous qualification can help enterprises give AI agents greater responsibility while maintaining human accountability.