TeamCentral launches CORBI supply chain AI platform

TeamCentral said CORBI Supply Chain Intelligence is now generally available for manufacturers and distributors, giving users real-time access across 100-plus business applications to spot changes, trace root causes, predict risk and take approved actions. The Cincinnati company says the platform was refined with pilot customers over six months and is designed to make enterprise AI more practical without replacing existing systems.

Why it matters: - CORBI is aimed at supply chain teams that need faster answers from disconnected systems. - TeamCentral says the platform can reduce the need for manual searches across ERP, CRM, WMS, logistics, finance, e-commerce and HR tools. - The platform is designed to help users move from detection to analysis to approved action in one workflow.

What happened: - TeamCentral announced general availability of CORBI Supply Chain Intelligence on Sept. 1, 2026. - The Cincinnati-based company says the MCP-enabled platform was built for manufacturers and distributors. - TeamCentral says CORBI connects data and operational context across the enterprise so users can see what changed, understand why, predict what is likely to happen next and take action. - TeamCentral said the platform was refined over six months with pilot customers before release. - TeamCentral said CORBI is available through the company’s Central Integration Hub.

The details: - CORBI provides real-time, bidirectional connectivity to more than 100 enterprise applications and data sources. - The platform uses a unified Model Context Protocol layer to make business context available to AI, including applications that do not natively support MCP. - Supported environments include Hy-Tek IntraOne, SAP, SAP Ariba, Oracle NetSuite, Microsoft Dynamics, Salesforce and HubSpot. - The platform also connects to ERP, CRM, WMS, logistics, finance, e-commerce, HR and other operational systems. - CORBI’s core functions include KPI tracking, natural-language search, change detection, predictive analytics and human-in-the-middle automation. - The KPI framework is aligned with APQC and ASCM metrics. - CORBI Pulse surfaces emerging exceptions, risks and opportunities. - Predictive features are designed to anticipate demand, inventory needs, stockouts, supplier performance and operational risk. - Human-in-the-middle automation can recommend next steps, route work for review and approval, and execute transactions or workflows in connected systems of record. - TeamCentral said the platform lets a user investigate declining on-time delivery by location, supplier, product, order or transaction without first identifying which system holds the data. - TeamCentral is SOC 2 Type II certified. - The company said CORBI is meant to provide a practical path to enterprise AI without requiring organizations to replace their existing technology stack or start a large transformation program. - TeamCentral said more information is available at the company’s website, and prospective customers can also contact contact@teamcentral.ai.

Between the lines: - The launch reflects a broader push to make enterprise AI useful inside daily operations, not just in standalone dashboards. - TeamCentral is positioning CORBI around business context and governed action, which may matter to companies that want AI output tied to trusted systems and approvals. - The six-month pilot phase suggests the company is trying to prove usability in live operating environments before scaling adoption. - The product message focuses less on model capability and more on workflow integration, which can be a stronger selling point for supply chain users.

What’s next: - TeamCentral is likely to focus on customer demos, deployments and expansion across manufacturers and distributors now that CORBI is generally available. - The company will also likely use pilot feedback and live usage to continue refining the KPI library, Pulse features, search tools, predictive models and automation. - Broader adoption will depend on how well the platform integrates with existing enterprise systems and how quickly users see operational value.

The bottom line: - TeamCentral is betting that supply chain teams want AI that connects systems, explains changes and supports action, not another layer of reporting.