That cross-functional background has given me an end-to-end understanding of the credit lifecycle. When you have worked across credit origination, legal recovery, and collections, you see how each function influences the others — and how decisions made at origination can either protect or undermine collection outcomes years later.

It has shown me how collections influences financial performance, risk appetite, customer relationships, and even organisational culture. The legal dimension is particularly important: understanding enforcement mechanisms, jurisdictional differences, and the rights of both creditors and customers shapes how you design recovery strategies that are robust and compliant.

Today, I approach collections not as an isolated recovery function, but as a strategic contributor to the wider business. The best collections operations are those that are connected to credit policy, customer strategy, and regulatory governance — not separated from them.

Strong recovery performance and fair customer treatment are not competing objectives — and I think the framing that pits them against each other is one of the more damaging myths in the industry.

Both require the same foundation: a motivated, ethical, and well-governed team supported by clear policies, practical procedures, and appropriate incentives. When collectors understand both the commercial goal and the boundaries within which it must be achieved, they can deliver results without compromising customer relationships or fair outcomes.

What undermines both performance and customer treatment is ambiguity — unclear guidance, misaligned incentives, or a culture that implicitly tolerates pressure tactics. Collections leaders need to be explicit about what is acceptable, and they need to build that clarity into training, monitoring, and governance.

Defaults ultimately occur when available cash flow is insufficient or poorly managed. But the underlying causes vary significantly between individual and business borrowers — and understanding that distinction shapes the entire recovery approach.

For individuals: default is usually linked to income disruption, excessive commitments, or weak financial planning. The customer may have had every intention of repaying but a change in circumstances — job loss, health event, relationship breakdown — made that impossible.

For businesses: declining revenue, rising costs, excessive leverage, poor working-capital management, or external economic shocks are typically the drivers. The financial outcome may look similar, but the resolution path is very different.

Understanding which of these applies shapes the entire collection and remediation strategy. A one-size-fits-all approach to default ignores the most important information you have.

The regional markets are at different stages of regulatory evolution, requiring collections strategies to be locally informed and adapted to the respective regulatory frameworks, market practices and customer conduct.

In a rapid-fire round, Wesam shared his direct preferences across the key debates shaping the industry today:

Over the next three to five years, AI will automate much of the administrative and repetitive work — routine reporting, account prioritisation, standard communication workflows. This will give collectors and leaders significantly more capacity for judgment, negotiation, and complex decision-making.

But I do not see this simply as a story about job losses. What AI enables is a reallocation of human attention to the activities that genuinely require it. Remediation conversations, restructuring negotiations, cases involving vulnerability — these require empathy and judgment that AI cannot replicate reliably.

I also expect collections to become more deeply embedded across the business — similar to the integrated role it plays in commercial banking. Collections intelligence has strategic value beyond the recovery function. Organisations that recognise this will use it to inform credit policy, product design, and customer engagement strategies.