Mass customisation has long been the holy grail for industrial manufacturers, offering the ability to provide highly tailored products while maintaining efficiency, scalability, and profitability. However, as products become increasingly complex, traditional methods of managing configurations are starting to reveal their limitations.

In a recent episode of Tech Transformed, host Christina Stathopoulos, Founder of Dare to Data, spoke with Stella d’Ambrumenil, Product Manager at Configit, about the operational realities and future potential of generative AI technology in manufacturing.

The Challenge of Complexity

Modern manufacturers often operate somewhere between make-to-order and assemble-to-order models. While these approaches allow flexibility, they also expose companies to a major problem, such as fragmented configuration processes. Sales teams, engineers, and manufacturing units may all handle different aspects of customisation separately, relying on spreadsheets or outdated product documentation. The result is inefficiency, errors, and an inability to scale effectively.

“The problem isn’t just that you have lots of options,” Stella explains. “It’s that the knowledge about those options is scattered. If configuration is handled differently across departments, you inevitably get mistakes and lost time.”

Configit Ace® Prompt: Bridging the Gap

Enter Configit Ace® Prompt, the latest tool designed to tackle this very problem. At its core, Configit Ace® Prompt converts unstructured data into structured configuration logic that can be used across all departments. Formalising configuration knowledge ensures that customisation is accurate, repeatable, and manageable.

This approach not only reduces errors but also democratises access to critical product information. Engineers, product managers, and sales teams no longer need to interpret fragmented data manually — they can work from a single source of truth. Early adopters report significant time savings, fewer mistakes, and smoother collaboration.

Why Configuration Lifecycle Management Matters

Configit Ace® Prompt is a key enabler of Configuration Lifecycle Management (CLM). CLM is an approach to maintaining consistent data and processes across the entire product lifecycle — from design and engineering to manufacturing and service. This is crucial for companies seeking to scale customisation without creating chaos in operations.

By adding generative AI technology, manufacturers can implement a CLM approach faster to automate logic creation, catch configuration errors early, and ensure that complex products are delivered efficiently.

Looking Ahead: CLM Summit 2026

For professionals interested in deepening their understanding of configuration management, Configit’s CLM Summit 2026 — an online event scheduled for May 6 & 7 - will provide insights into best practices, advanced strategies, and tools like Configit Ace® Prompt. It’s an opportunity to see how companies can leverage configuration management to stay competitive in a world of growing product complexity.

For more insights, visit: configit.com

Takeaways

  • Manufacturers face increasing challenges with product complexity and customisation demands.
  • Configit Ace® Prompt helps convert unstructured product knowledge into usable configuration logic.
  • Configuration Lifecycle Management (CLM) is crucial for establishing and maintaining a shared source of truth.
  • Product data fragmentation leads to inefficiencies in manufacturing processes.
  • AI can assist in catching errors in configuration data.
  • The tool aims to lower the barrier to entry for data consolidation.
  • Excel remains a popular tool, but Configit Ace® Prompt offers a familiar interface.
  • Early beta testers have reported significant time savings with Configit Ace® Prompt.
  • Generative AI has potential applications in guided configuration and data analysis.
  • The upcoming CLM Summit will provide insights into product configuration management.

Chapters

00:00 Introduction to Tech Transformed and Configit

02:48 Understanding Product Complexity in Manufacturing

05:54 The Role of Configit Ace® Prompt in Configuration Management

08:53 Configuration Lifecycle Management Explained

11:52 The Importance of Data Consistency and Cleanup

15:14 User Experience and Adoption of Configit Ace® Prompt

17:54 Generative AI and Its Future Applications

21:07 Conclusion and Future Events