Tag: BusinessStrategy

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.

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.

There is a moment in most disputes when emotion overtakes economics. Pride digs in. Letters become sharper. Threats of court proceedings follow. Yet, by the time a matter reaches trial, the real question often lingers in the background: was the game worth the candle?

The Public Procurement Act 28 of 2024 is signed but not yet in force. However, the Constitutional Court is yet to rule on a challenge by the Western Cape Government, the City of Cape Town and amaBhungane. They argue that Parliament failed to facilitate reasonable public participation on material amendments, as required by section 59(1)(a) of the Constitution. That judgment is still pending.

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.

Digitalisation has brought, and continues to bring, sweeping advancements in how companies go to market and how customers engage with brands. Agentic AI is now poised to disrupt even these developments. As a result, organisations are scrambling to invest in the "next big thing" because they fear being left behind. However, history shows that when speed becomes associated with winning, companies often blur the line between operational effectiveness and strategy.

Much of the current conversation around Artificial Intelligence (AI) focuses on technology choices. Organisations ask which platform to use. They also ask which model works best. In addition, they debate which tools will replace existing systems. Across boardrooms and IT departments, leaders race to decide on AI platforms, copilots, automation layers and infrastructure upgrades.

Leaders are expected to plan for the future, whether they operate in big business, small business, government or good-deed organisations. And they do. Leaders collate data across all aspects of operations. They compare budgets with actuals. They also make projections for the next six months to five years.  Leaders build detailed quantitative models and dashboards. Some projections include both positive and negative outcomes.

Drift happens. Not because leaders lack intelligence. Not because the strategy was wrong. Instead, execution decays quietly and predictably under the weight of competing priorities, unclear ownership and fragmented attention. Ethiopian Airlines sustained commercial focus through five government transitions and became Africa’s most profitable carrier.

For years, the future of finance and accounting has been framed mainly as a story about technology. Artificial intelligence (AI), automation and data platforms are reshaping the profession. They are changing how work gets done and what employers and clients expect. However, if that is the whole story, we are missing the point.