From Fragmented Stacks to AI-Ready Architectures
Enterprises eager to adopt AI are discovering that their biggest obstacle is not algorithms, but integration. Critical data still lives in a patchwork of legacy applications, bespoke systems and modern SaaS platforms, making it difficult for AI workflow automation tools to access accurate, real-time information. Enterprise integration platforms are emerging as the connective tissue, providing a unified layer that can tap into on-premises software, cloud applications and hybrid environments without manual intervention. Instead of rebuilding their entire technology stack, organizations can use iPaaS solutions to orchestrate data flows into AI platforms while keeping source systems intact. This shift reframes legacy system integration from a costly modernization project into an incremental connectivity problem. The result is faster deployment of AI projects, fewer brittle point-to-point integrations, and a more resilient foundation for scaling intelligent workflows across finance, operations, customer service and digital commerce.
Boomi and ServiceNow: Extending AI Workflows Into Legacy Systems
The expanded partnership between Boomi and ServiceNow illustrates how integration platforms are being embedded directly into AI-centric workflow engines. As a launch partner for the ServiceNow Workflow Data Network Passport Program, Boomi now links data held outside ServiceNow with workflows and agents running on the ServiceNow AI Platform. This includes connecting legacy software, cloud applications and external data sources so that AI-driven processes operate on current, trusted information. Boomi’s Data Hub synchronizes master data for use inside ServiceNow workflows, while ServiceNow Zero Copy enables data access in platforms such as Snowflake and RaptorDB without repeated duplication. Customers can also purchase and deploy these tools under a single commercial model, reducing procurement friction alongside technical complexity. Early adopter Lightedge replaced multiple older integration tools with a single platform built around Boomi and ServiceNow, consolidating connectivity and enabling AI-first CRM and integration capabilities across its organization.
OroCommerce, Intellias and iPaas.com: Tackling B2B Complexity
In B2B commerce, integration challenges are amplified by account-centric processes spanning ERP, CRM, inventory, pricing and payment systems. OroCommerce’s recent collaborations with Intellias and iPaas.com show how enterprise integration platforms can tame this complexity. Intellias is bringing AI-enabled and agentic capabilities to OroCommerce’s platform, supporting predictive demand forecasting and other data-driven decision processes for manufacturers, wholesalers and distributors. In parallel, OroCommerce’s new integration with iPaas.com targets fragmentation across ERP and CRM ecosystems. Through an integration hub available via the iPaaS.com Certified Integration Marketplace, businesses using systems such as NetSuite, Microsoft Dynamics 365, Acumatica, Epicor Prophet 21, Oracle EBS and SYSPRO can synchronize data in a unified, standards-driven way. By treating ERP, CRM and commerce as a single operational layer, these iPaaS solutions give enterprises a consistent data foundation that can feed AI workflows without duplicating integration efforts for each application.
Real-Time Data as the Fuel for AI Workflow Automation
These partnerships point to a broader market pivot: AI success now depends on real-time, cross-system data access more than on isolated model performance. ServiceNow’s Workflow Data Fabric, augmented by Boomi’s cloud-native iPaaS, is designed to bring trusted, contextual data into workflows and agents that run core business processes. The emphasis on zero-copy data access reflects a desire to let AI tools use information where it already resides, reducing latency, governance risk and operational overhead. In the B2B domain, OroCommerce and iPaas.com are similarly focused on creating an audit-ready integration layer that mirrors how modern enterprises actually operate. By reducing the need for custom connectors and manual data wrangling, organizations can deploy AI workflow automation faster, iterate more rapidly and scale intelligent processes across sales, service and back-office operations. Legacy system integration is no longer a blocker; it is becoming a strategic enabler for AI-driven transformation.