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Banks don’t need faster AI – they need more accountable decisions

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Financial leaders are now being asked to fund Artificial Intelligence (AI), govern it, and explain the value it creates. This isn't a simple technology question. In banking, it is becoming a test of leadership. AI is starting to influence decisions at the core of the business. These include credit, fraud, pricing, collections, customer engagement, compliance and operational resilience. These decisions affect customers, regulators, shareholders, employees and the institution’s ability to compete.

Why digital resilience has become a business imperative for SMEs

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In June, Meta experienced a global outage that disrupted Facebook, Instagram and WhatsApp services for users worldwide. The outage left many businesses temporarily unable to connect with customers through some of their most important digital channels. While the disruption was temporary, it highlighted the risks associated with relying too heavily on a single digital platform.

Online dispute resolution – (A)I rest my case

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If there is one thing organisations know well, it is that disputes are expensive. The expense extends beyond legal fees. It also includes management time, damaged relationships and strategic distraction. A supplier dispute that should take weeks can consume months of senior attention. For multinationals juggling cross-jurisdictional matters, the logistical burden alone can dwarf the value of the underlying claim.

Workplace technology – shaping employee satisfaction

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We have concluded a first-of-its-kind benchmark study focused on how employees experience technology across eight major institutions in the Financial Services Industry (FSI). The Employee Technology Experience Index (TEXI) measured employee sentiment across eight core technology categories. It used a standardised scoring methodology. The findings reveal the scale of the cost.

BusinessBrief August/September 2026 edition is now available!

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Read our exclusive cover story titled Mission focus – does AI enable strategy or create distraction? by Steven Ambrose, CEO, Strategy Worx Consulting, plus a host of other topical management articles written by professionals, consultants and academics.

Real-time payments – turning speed into customer trust

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Connecting to a real-time payment rail is the straightforward part. Delivering an experience that genuinely feels instant is where the real work and the competitive advantage lie. There is plenty of excitement about real-time payment rails at the moment. Most of it is justified. Moving money in seconds rather than days changes what a business can offer the people it serves.

Why cloud-ready BMS is reshaping building operations

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Buildings may be getting smarter, but too many control rooms still rely on yesterday’s technology. They use on-site servers, rigid architectures and a patchwork of interfaces. These systems are expensive to run and painfully slow to evolve. While many modern buildings are marketed as “smart”, much of today’s Building Management Systems (BMS) infrastructure remains rooted in ageing, server-bound control rooms.

Future-driven finance – redefining the CFO in an age of disruption

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Imagine this: It’s 7:30 a.m. in Nairobi, and your phone buzzes with an alert from the treasury dashboard. Overnight, a sudden Foreign Exchange (FX) shock in East Africa has threatened to erode your continent-wide supply chain margins by 5 percent. Yet, your factory in Lagos has already executed an automated hedge that caps the risk at 1 percent.

Cybersecurity compliance demands faster patching

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Regulatory compliance in cybersecurity is no longer an administrative chore that organisations can treat as an afterthought. As digital ecosystems expand, threat actors are leveraging automation, Artificial Intelligence (AI)-driven reconnaissance and supply-chain attack vectors. Consequently, governments are moving from advisory guidelines to enforceable directives.

Strategic experimentation – why AI pilots fail to scale?

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There is a pattern emerging across boardrooms that is starting to look very familiar. Executives are excited about Artificial Intelligence (AI). Budgets are being allocated. Pilot projects are being launched. Early results are often promising. Yet, despite all this activity, very few organisations are seeing meaningful, enterprise-wide impact.

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