No Free Lunch Podcast – Why Bolting on AI Is a Losing Strategy

Insights from an Insurance Tech Expert

The rapid growth of artificial intelligence has resulted in many business leaders eager to jump on the bandwagon. But is simply adding AI to existing systems the right approach? Or are there deeper issues at play?

In the latest episode of No Free Lunch, we explore the pitfalls of bolt-on AI strategies, backed by insights from Joel Rothman, CEO of Insdi, a South African no-code platform tailored for insurers and financial services.

Joel provides clear reasons why reimagining your business from the ground up is crucial for truly harnessing AI’s full potential, and how to avoid costly mistakes.Whether you’re a business owner considering AI integration or a tech professional navigating the hype, understanding these principles can save you time, money, and frustration.

Listen to The Podcast Here:

Key Take Aways from Joel Rothman:

The AI Hype vs. Reality in Insurance

Over the past few years, claims about AI transforming insurance and finance have flooded the market. Companies, consultants, and vendors tout AI-driven ROI increases of up to 90%, but recent industry reports reveal a less rosy picture. Most insurers are still in pilot phases, with only around 15% demonstrating measurable ROI. Hidden costs like integration challenges and charge management, which eat into potential gains, making the promises seem overly inflated.Joel Rothman emphasises that this gap isn’t coincidence. “We’re in the early exploratory phase of AI,” he explains. “There’s a lot of expensive pilot work, but real, scaled success is still rare.” He also points out that much of what’s being sold is hype, and organizations should approach with a grounded mindset.

Why Many AI Projects Fail to Deliver

Rothman shares that many corporations rush into AI projects driven by executive pressure or the allure of shiny new tech. “They bolt AI onto existing workflows without rethinking the underlying processes,” he remarks. This piecemeal approach often leads to frustration, because AI is not just a plugin—it requires reengineering the entire operation.For example, a common misconception is that AI can effortlessly automate complex decision-making, like claims processing or underwriting, by simply plugging in a tool. Instead, Rothman advocates for a fundamental reimagining of the business, asking, “If we started from scratch today, how would AI shape this operation?”

The Risks of the Bolt-On Mentality

The habit of “bolt-on” AI—adding modules or tools on top of legacy systems—can cause more headaches than benefits. It’s often a reaction to immediate pressures, such as reducing manual work or meeting short-term targets. But this approach can fragment workflows and create integration nightmares.Rothman stresses that successful AI adoption requires embedding it into the core strategy, not just attaching it to outdated processes. He advocates for a “clean sheet” approach, where companies revisit their business models through an AI lens.

Reimagining Business from the Ground Up

A key insight from Rothman is that AI’s true potential lies in redefinition, not just automation. Imagine redesigning your products, customer journeys, and internal workflows to leverage AI capabilities at their core. This might mean creating entirely new lines of business, optimized with AI from the start.Rothman cites the example of Pulseo, a South African startup that used generative AI to create a new insurance product in just two hours—something that would normally take years. By harnessing advanced AI models, Pulseo was able to leapfrog traditional development hurdles, demonstrating the power of rethinking business paradigms.

Building an AI-Ready Culture

Achieving this level of transformation requires a top-down initiative and a culture open to change. Rothman warns of internal “immune systems”—resistance from management and staff fearing disruption or job loss. Overcoming this involves transparent communication and a clear vision of AI’s role as an enabler, not a replacer.Plus, organizations need to prioritize foundational elements like data quality and infrastructure. Rothman highlights that without a solid “data chassis,” AI efforts will be hamstrung by unstructured, siloed, or outdated data.

From Hype to Practical Steps

So, how can businesses avoid the AI adoption trap? Rothman offers pragmatic advice:

• Start with your data: Make sure your data is organized, clean, and accessible.
• Reimagine your process: Don’t just automate; redesign from the ground up.
• Leverage advanced models: Use frontier AI models to reduce development time and costs.
• Embrace the long-term: Recognize that AI is a journey, requiring patience and ongoing adaptation.
• Cultivate an innovative culture: Support top-down initiatives and internal change management.

By following these principles, companies can turn AI from a disruptive buzzword into a competitive advantage—delivering real ROI rather than false promises.

Final Thoughts: AI as a Strategic Reboot

As Rothman concludes, “AI is not just a tool; it’s a catalyst for reimagining your entire business.” Instead of trying to bolt it onto legacy systems, organisations should view AI adoption as an opportunity to rethink strategies, customer experiences, and operations from the ground up.The path forward involves less hype, more realism, and a focus on tangible, scalable change. Business leaders who heed this lesson will be better positioned to thrive in a rapidly evolving digital landscape.

If you’re interested in exploring how AI can reshape your business, start with your data, challenge your assumptions, and imagine the possibilities beyond the status quo.