Industrial Manufacturing

Delivering technology solutions to digitally transform leaders across the manufacturing industry

In an industry that relies on speed, efficiency and performance, manufacturing organisations are always seeking new ways of working to guarantee effective operations. However, research has found that more than half of workers wish they had better access to technology. 

Enabling manufacturing teams to work with technology offers the potential of increased data visibility and business value, among many other areas related to business processes. It’s unsurprising then that over 90% of manufacturing leaders believe that digital transformation is critical to their success. 

Audacia has a proven track record in delivering robust and scalable technology strategies and complex software platforms for leaders in the industrial manufacturing industry; from mobile CRM platforms for a global leader in wire and rope manufacturing; to a sales management platform to manage over £170m annual sales for a global mechanical seal manufacturer.

Our ability to respond to customer enquiries and requests for technical information is massively increased. Not only is it much more timely, the effort required internally is significantly reduced. We have always been good at it, but this software allows us to be absolutely excellent at it.

- Stuart Welsh, IT Director, AESSEAL plc

Insights
What to Modernise, Retain or Retire in the Age of AI
What to Modernise, Retain or Retire in the Age of AI
Rhys Smith - 07/10/2026
AI has changed the cost, speed and risk of modernising, rebuilding and buying technology. This article sets out six routes for any capability, from retain and retire to modernise and rebuild, along with five tests for choosing between them and how AI has shifted the balance between routes.
The AI Use Case Filter: Which Opportunities Deserve Further Investment
The AI Use Case Filter: Which Opportunities Deserve Further Investment
Adam Brookes - 07/10/2026
Many AI use cases show promise at proof of concept, yet few reach production. This article sets out eight criteria for assessing AI opportunities, from value and ownership to process readiness and measurability, so that investment goes to the use cases with a credible route to production.
Microsoft Fabric: How to Prove the Business Case Before You Scale
Microsoft Fabric: How to Prove the Business Case Before You Scale
Oliver Boult - 02/10/2026
Microsoft Fabric brings data engineering, warehousing, analytics and reporting together on a single platform. This article sets out how to design a pilot that tackles the right problem, measures against six areas, and concludes with a clear choice to scale, refine or stop.
Is Test Debt the Hidden Constraint on Legacy Modernisation?
Is Test Debt the Hidden Constraint on Legacy Modernisation?
Richard Brown - 02/10/2026
Legacy systems frequently depend on manual regression cycles, undocumented business rules and a small number of long-serving specialists who know where the edge cases lie. While the system runs unchanged, these weaknesses stay largely invisible. This article explores seven forms of test debt and the assurance evidence leaders should require before modernising systems.