The Lifecycle Dilemma Debate

What’s the business case for upgrading technology that still works? And when does “if it’s not broken, don’t fix it” become a risk rather than a sound strategy?

Commercial reality meets Engineering optimisation as Urszula Druett and Iain Clarke take on the debate of whether product versions should be supported indefinitely or if the focus should be on innovation, making end-of-life a natural conclusion for any technology.

Beyond the datasheets, this webinar tackles the real challenge: balancing immediate operational needs with long-term strategic planning.

Using the RT3000 v4 as an example, we’ll be looking at:

• End-of-life decisions at OXTS – what’s new about our approach and do you agree with it?
• Do you really need to upgrade? – assess scenarios where staying put is sensible, where future-proofing prevents disruption, and where upgrading is mission-critical
• Hidden costs of maintaining legacy systems – considering what other factors can feed into your business case to optimise your systems
• Impact of support changes – looking at the reality of what happens if you need support on the end-of-life models you know and love
• A sneak peek at future releases – and why upgrading isn’t just about improved performance, but proactive technology planning
• A practical upgrade guide – from securing support from senior management to seamless installation

Who Should Attend

This session is ideal for:

• Engineers and Technical Leads building business cases for technology upgrades
• Test Programme Managers balancing performance with budget
• Decision-makers responsible for long-term testing and capability planning

Your Expert Panel:

Hosted by Urszula Druett, Commercial Manager with insights from Iain Clarke, Senior Product Engineer and input from the OXTS team – engineers who’ve been in your position and understand both the technical challenges and commercial realities of lifecycle planning.

Don’t Miss This Debate

Watch on demand and gain the insights you need to make smarter upgrade decisions that balance innovation, cost, and risk.