Every CFO of large and multinational organizations feels the pressure to reduce waste and cut cost. In this period of uncertainty and volatility, efficiency is critical to drive agility and sustain profitability. But amid the frenzied conversation about how technologies such as automation and artificial intelligence (AI) might unlock value, a major opportunity is hiding in plain sight: there is now huge potential to rethink trade credit insurance arrangements in a way that delivers valuable savings.
CFOs rightly see trade credit insurance as a vital risk mitigation tool, protecting the enterprise when customers don’t pay what they owe. But many multinationals now operate hugely complex portfolios of trade credit policies, built up through local or regional subsidiaries in an era when a lack of shared data and technological innovation required a decentralized approach. Few have questioned that structure, despite its significant cost footprint.
The hidden cost of fragmentation
At first sight, CFOs may not recognize trade credit insurance as a significant line item. The organization’s central finance function may approve budgets for the rest of the business – based on guidance around the cost of premiums – but it typically then leaves local teams to get on with actually arranging and managing the cover.
What finance doesn’t see is how much work those processes involve. Local teams deal with a series of often cumbersome tasks, from making credit limit applications and administering renewals to managing customer compliance and handling claims. The workload is repeated over and again in every business unit managing trade credit insurance at a local level.

