Business software has traditionally required users to speak the language of software. Natural language AI for manufacturing could change that by allowing users to simply ask for the information they need. Select a module. Choose a report. Apply filters. Export the results. Natural language AI reverses that relationship. The computer begins understanding the language of the user.
A production manager doesn’t necessarily think: “I need the Open Manufacturing Orders report filtered by required date.”
They think: “What’s late?” Natural language interfaces allow software to get much closer to that way of working.
Manufacturing businesses often have information spread across several systems. ERP might contain production and inventory. CRM contains customer interactions. Accounting software contains financial information. E-commerce contains online sales. AI assistants could increasingly provide a common conversational layer across these systems.
This suggests an interesting future architecture:
Business systems → secure connectors → AI assistant → employee
The underlying applications remain important. But AI becomes an intelligent layer through which employees interact with them.
For manufacturers investing in digital transformation today, this is another reason to prioritise modern, connected cloud systems. Connectivity is becoming increasingly important.
As AI develops, the ability for different business systems to securely share information could become just as important as the individual systems themselves.
If you’d like to explore how your existing business systems could become better connected and how AI could fit into your digital strategy, contact Langcroft to discuss the possibilities.
