Assets UNSCRIPTED, Episode 5 | Johan Jansen van Rensburg, SAPPI
Every generation in asset-intensive industries seems to find its own silver bullet. In the 1990s, it was computerized maintenance management systems. Today, it is artificial intelligence. Each wave arrives with the same promise: invest in this technology, and your maintenance challenges will be solved. Yet for organizations that have lived through more than one of these cycles, a familiar pattern is starting to repeat itself — and the lesson is rarely about the technology at all.
In this episode of Assets UNSCRIPTED, Berend Booms sits down with Johan Jansen van Rensburg, Reliability Manager at SAPPI. With nearly four decades of experience spanning electrical engineering, maintenance, and reliability across multiple countries and industries, Johan has lived through the CMMS revolution of the 1990s and is now bringing that same hard-earned perspective to the AI era.
The conversation explores why data integrity and discipline matter far more than the next technology trend, and what organizations should audit before investing in AI. Johan draws direct parallels between the early days of CMMS adoption and today's AI wave, arguing that both succeed or fail based on the same fundamentals: trustworthy data, disciplined process, and skilled people. Watch the full episode on YouTube, or listen on Spotify and Apple Podcasts.
Why the Industry Keeps Chasing Silver Bullets
From CMMS in the 1990s to AI today, Johan argues the appeal of a silver bullet comes from a desire for instant gratification — a single solution that removes the hard work of getting fundamentals right. The pattern, he explains, repeats itself because the underlying challenge is never really about the technology. “Everybody is looking for that silver bullet,” he reflects, recalling advice from a professor early in his career, “but the silver bullet doesn't exist.”
Each new wave of technology arrives carrying the same unspoken promise: that this time, the tool itself will close the gap that years of inconsistent process and poor data have created. What Johan's experience suggests is that the gap was never a technology problem to begin with.
Data Integrity Is the Real Foundation
Johan points to data quality as the recurring failure point across both the CMMS and AI eras. Organizations that have been disciplined and methodical about collecting and maintaining accurate asset data are the ones whose systems — whatever the underlying technology — actually work. Without that discipline, AI can help patch the data, but the same problems will resurface within a few years if the underlying habits do not change.
This is a sobering point for organizations eager to adopt AI quickly. Speed without discipline simply moves the same weaknesses into a more sophisticated system.
What to Audit Before Investing in AI
Asked what he would audit before allowing an AI conversation to continue, Johan is direct: how an organization manages its asset data. He uses risk-based inspection in petrochemical industries as an example — a process that only works if the underlying data is collected consistently and is trustworthy. The technology is never the limiting factor. The discipline behind it is.
For leaders evaluating AI investment, this reframes the starting question. Rather than asking which platform to buy, the more useful question is whether the organization's data practices can support what that platform promises to deliver.
Why Human Skill Remains Irreplaceable
Despite decades of technological change, Johan insists the fundamentals of hands-on maintenance work have not gone away. “You still need an artisan,” he says, “you still need somebody that's gonna get their hands dirty.” Technology has transformed how maintenance is recorded and analyzed, but the physical skill of working on real assets remains as essential as ever.
It is a reminder that digital transformation in asset management has never been about replacing people. It is about giving skilled people better information to act on.
Building on Solid Ground, Not From the Roof Down
Berend draws an analogy from watching his own house being built, floor by floor, foundation first. Johan applies the same thinking to digital twins and AI: organizations need accurate asset attributes and disciplined data capture before the technology can deliver real value. Skip the foundation, he warns, and the structure collapses.
It is a simple image, but one that captures the episode's central argument well. The most advanced technology in the world cannot compensate for an unstable foundation underneath it.
“Everybody is looking for that silver bullet... but the silver bullet doesn't exist.” — Johan Jansen van Rensburg, Reliability Manager, SAPPI
Episode 5 of Assets UNSCRIPTED is available now.
Assets UNSCRIPTED is the Future of Assets podcast series hosted by Berend Booms. Each episode brings together leaders from across asset-intensive industries for authentic, unscripted conversations on the ideas, challenges, and innovations shaping the future of asset management. New episodes are published on YouTube, Spotify, and Apple Podcasts.