In October 2026, ERP News reported that Wisefish launched AI Connect, a tool built on Microsoft Dynamics 365 Business Central designed to bring live ERP data into seafood operations. This development highlights a frequent operational bottleneck for supply chain and manufacturing leaders: the friction involved in extracting real-time insights from complex enterprise systems during fast-paced production. For logistics environments handling perishable goods, delays in accessing operational data can hinder responsive decision-making.
Traditionally, answering critical questions about traceability, inventory levels, production yields, and operational costs requires managers to generate manual reports or navigate specialized ERP screens. The integration of artificial intelligence assistants into the ERP environment allows operations teams to connect their queries directly to enterprise records. This approach aims to streamline workflows by delivering operational data through familiar, conversational AI interfaces.
Key Evaluation Questions for AI Integration
While the capability to query live ERP data using AI assistants is an emerging operational advantage, technology buyers must carefully assess their infrastructure before deployment. Operations directors and supply chain managers evaluating AI-to-ERP connectivity should consider the following:
- Data Accuracy: Are our current traceability and inventory records consistently updated in real time to ensure the AI assistant retrieves accurate data?
- Security and Access: How does the integration handle data governance, and will it properly respect existing enterprise user permissions when returning cost or yield data?
- System Latency: Does the underlying system architecture support immediate, low-latency queries without disrupting core ERP performance?
Implementation Prerequisites
The fundamental prerequisite for any conversational data integration is a clean, structured enterprise database. If foundational records are siloed, inconsistent, or delayed, an AI assistant will only surface inaccurate inventory counts or cost calculations faster. Before adopting new interfaces, organizations often need to audit their data workflows. Consulting with a partner experienced in AI and data intelligence can help manufacturing and supply chain leaders evaluate whether their current systems are fully prepared to support secure, live AI querying.
Integrating conversational interfaces into operational workflows marks a shift in how supply chains interact with enterprise data. To explore how to reduce data retrieval bottlenecks and improve real-time visibility in your production environment, we invite you to discuss your industry workflow with Decision Intelligent.