Artificial intelligence has become the defining technology conversation of the decade. Every organization is exploring how AI can improve productivity, automate processes, and unlock new business value. Yet for supply chain leaders, the opportunity extends far beyond automation. AI has the potential to fundamentally change how organizations anticipate disruption, make decisions, and orchestrate outcomes across increasingly complex global supply networks.
However, there is a critical reality that many organizations are discovering: AI is only as powerful as the data behind it.
Without access to accurate, connected, and governed data, even the most advanced AI models produce incomplete insights and unreliable recommendations. For AI to deliver measurable business value, organizations must first solve one of the biggest challenges in supply chain management: bringing together fragmented data into a trusted, unified foundation.
This is where InterSystems delivers a unique advantage.
The Supply Chain Has a Data Problem
Modern supply chains generate enormous volumes of data every second. ERP systems manage orders and financials. Warehouse management systems track inventory. Transportation systems monitor shipments. Manufacturing execution systems oversee production. Supplier portals, IoT devices, clinical systems, weather feeds, and third-party logistics providers all contribute valuable information.
The problem isn't a lack of data. It's that the data lives in hundreds of disconnected systems. When disruptions occur, organizations often spend hours (or even days) collecting information before they can make a decision. Teams manually reconcile spreadsheets, validate conflicting reports, and coordinate across departments to understand what is happening.
By the time they reach a conclusion, the situation has often changed. AI cannot solve this problem if it only has access to fragments of the story. It requires a complete, trusted view of the enterprise.
Unified Data Is the Foundation for AI
InterSystems believes AI should not operate in isolation. It should be embedded within operational workflows and powered by real-time, trusted enterprise data.
Rather than requiring organizations to replace existing systems, InterSystems connects information across the entire supply chain, creating a unified, governed orchestration layer that makes data accessible wherever it resides.
This enables organizations to:
- Eliminate data silos without large-scale migrations.
- Deliver trusted, consistent data to AI models.
- Provide real-time visibility across the supply chain.
- Govern and secure enterprise information.
- Create a single source of truth for operational decision-making.
With a unified data foundation, AI shifts from being an experimental technology to becoming a trusted decision-making partner.
Moving Beyond Visibility to Decision Intelligence
Visibility has long been a priority for supply chain leaders. Dashboards, reports, and analytics provide valuable insight into operations, but visibility alone doesn't improve outcomes.
Organizations don't need more dashboards. They need faster, better decisions. And they need to be able to understand not only what is happening, but what is likely to happen next and what actions will produce the best business outcome.
Instead of simply identifying that inventory is running low, AI can recommend how to rebalance inventory across distribution centers. Instead of highlighting a supplier delay, AI can identify alternative sourcing options before production is affected. Instead of reporting missed service levels, AI can recommend corrective actions before customers experience disruptions.
This evolution from descriptive analytics to decision intelligence is where AI delivers its greatest value.
The Future Is AI-Enabled Decision Intelligence
As supply chains become increasingly interconnected and dynamic, organizations need more than automation. They need intelligence that continuously analyzes operations, identifies emerging risks, and orchestrates the best possible outcomes.
This future depends on more than large language models or predictive algorithms. It depends on trusted data, interoperability, governance, and seamless integration across the enterprise.
These are the capabilities InterSystems has delivered for decades.
By combining a unified data platform with AI-enabled decision intelligence and supply chain orchestration, InterSystems helps organizations transform fragmented information into actionable insight, enabling faster decisions, greater resilience, and measurable business value.
Introducing InterSystems AI Assistants
InterSystems has launched AI assistants for its two supply chain products: Supply Chain Orchestrator and Data Studio with supply chain module.
InterSystems Supply Chain Orchestrator® AI Assistant provides natural language support and allows business users to interact with features supported in Supply Chain Orchestrator. It provides help with three general capabilities.
- Accessing supply chain data. This can be a direct query of a specific data entry like a customer order, or a query on aggregated data such as revenue by region and timeline.
- Decision assistant. This helps users understand the business logic/rules used for actionable insights through Supply Chain Orchestrator issue analysis.
- Memory management. This helps the user understand a specific industry better or minimize user prompts by keeping user-specific preferences or settings, for example. This capability includes short-term and long-term memory management and global and user level memory management.
Supply Chain Orchestrator provides specialized AI agents that augment human decision making and support intelligent business processes. Data agents allow both technical and business users to discover, access, prepare, enrich, and contextualize information from across the enterprise.
Business process agents monitor operations, identify exceptions, coordinate workflows, and recommend or execute actions according to customer-specific business policies, rules, and operational processes. And memory and context agents maintain business context, organizational knowledge, historical decisions, customer-specific operating practices, and industry expertise.
InterSystems Data Studio™ AI Assistant is a low-code generative AI extension for Data Studio that adds intelligent assistants, out-of-the-box agents, and a multi-agent framework. It is designed to help organizations easily explore, analyze, and query structured and unstructured data and visualize answers using a natural language conversational interface.
AI Assistant is designed to work across all of the data that organizations already have. By leveraging the underlying capabilities of Data Studio to connect, harmonize, govern, and manage information across operational applications, databases, data warehouses, cloud services, and other data sources, organizations can create and maintain a unified, consistent, and governed data layer that AI Assistant can leverage to generate more meaningful insights. By giving business users, analysts, applications, and AI assistants access to a single trusted and governed information foundation, organizations can reduce complexity and increase confidence in the accuracy of AI-driven insights and answers.
AI Assistant provides both out-of-the-box agents and a multi-agent framework that enables organizations to build custom assistants capable of orchestrating multiple agents to address domain specific use cases, with custom data sets, rules, and permissions. Rather than relying solely on a single request-and-response pattern, multiple agents can work together to perform more sophisticated analysis and reasoning. For business users, this creates a more accurate and intuitive way to get answers and explore information across business documents and applications. For organizations, it provides an AI foundation capable of supporting more complex queries, delivering more accurate insights, and enabling deeper analysis across enterprise information.
Final Thought
The companies that succeed in the AI era will not simply have access to more data. They will be the organizations that can trust their data, connect their operations, and turn intelligence into action.
That's where AI delivers its greatest value, and where InterSystems helps organizations lead.








































