ERP.io launches an AI-native platform that unifies CRM, ERP, project management, finance, workflows, analytics, and AI under a single data and intelligence layer.

Built around AI from the start, ERP.io reduces friction from multiple disconnected systems by providing a shared data model across CRM, accounting, projects, and operations.

By bridging CRM and ERP, ERP.io connects customer, financial, project, and operational data to deliver a comprehensive view and enable AI-driven insights.

The product targets SMB and mid-market companies across industries such as professional services, software, manufacturing, distribution, construction, financial services, and ecommerce with configurable, industry-specific workflows.

ERP.io is designed for industries including professional services, agencies, software, manufacturing, distribution, construction, financial services, and ecommerce, offering industry-specific configurations.

The platform enables natural language queries, automated workflows, AI-assisted reporting, and the potential execution of authorized processes through AI agents.

Users can interact with data via natural language, automate workflows, leverage AI assistants, and eventually have AI agents execute approved business processes.

Availability and more information are available on the ERP.io website and in company press materials.

ERP.io will be available at ERP.io, with DEV.co serving as the development partner responsible for architecture, data infrastructure, and AI capabilities.

DEV.co leads the development, emphasizing a unified operating system approach where data, workflows, applications, and AI work cohesively.

Core capabilities include CRM, sales automation, financial management (invoicing, payments, expenses), accounts receivable/payable, project management, operations management, advanced reporting and analytics, AI assistants, workflow automation, and integrations with third-party applications.

Vision positions ERP.io as moving from a system of record to a system of intelligence and action, with AI identifying exceptions, surfacing risks, recommending actions, and executing approved workflows.