AI ERP software

AI ERP (Artificial Intelligence Enterprise Resource Planning) software is a business management platform that brings AI into core operations such as finance, HR, manufacturing, and supply chain.

Older ERP systems mostly store data and follow fixed, pre-set rules. AI ERP software goes further. It applies machine learning, natural language processing, and predictive analytics to learn from live data, automate complex tasks, and reach decisions independently.

Sutton is primarily an ERP platform that manages core operations such as sales orders, purchase orders, inventory, and production. It also includes AI capabilities through MCP connectors, which let an AI assistant securely read and interact with live Sutton data.

Through this connection, the AI assistant can look up sales orders, purchase orders, inventory, and items, generate summaries or insights from your data, and create or update records such as orders or items. This helps teams understand what is happening in the business and take action without switching between tools.

AI ERP software connects artificial intelligence tools, such as machine learning models and automated agents, to the live transactional data and workflow rules inside your core database.

This lets the software treat your existing records as a reliable source of truth, analyzing each transaction the moment it happens instead of waiting for a weekly report.

From this foundation, the AI can forecast demand and flag unusual transactions that standard rules would miss. It can also read unstructured documents such as emails and contracts, extracting invoice details automatically. More advanced systems go a step further, executing full workflows such as matching an invoice to a receipt, while employees retain oversight to handle exceptions.

In Sutton, this happens through an MCP connector. It lets an AI assistant read your live data and take action, such as generating a summary or creating a new sales order.

Yes, when an AI assistant is connected to Sutton through an MCP connector. Once connected, you can ask plain-English questions instead of writing SQL or building spreadsheet formulas — things like which items are low in stock, how many units you have across warehouse locations, or what to reorder to avoid a stockout.

The AI can query sales orders, purchase orders, and quotes, check inventory levels, lot information, and warehouse locations, and review items and Bills of Materials. It can also pull metrics and scorecard data, and create or update records such as sales orders or purchase orders.

Without the MCP connection, Sutton's built-in Fin AI can still answer questions about how features work, but it won't have access to your live data.

Yes.

Sutton can connect to both ChatGPT and Claude. This works through an MCP connector, which allows an AI assistant to securely read and interact with your live Sutton data.

Once connected, it can do the same things covered above — check inventory, review orders and BOMs, pull metrics, and create or update records.

MCP (Model Context Protocol) is an open standard that gives AI models a universal way to connect with external data sources and business applications.

Think of it as a universal USB port for artificial intelligence, because it replaces one-off custom integrations with a single, shared language that translates an AI assistant's intent into actions the system understands.

In Sutton, this works through an MCP server that exposes your data. An AI assistant, such as ChatGPT or Claude, connects to that server and can then query orders, inventory, items, and metrics, and create or update records.