A thought-provoking op-ed by Bram Meyerson, CEO of Quantimetrics and Convocation Executive Member at The DaVinci Institute, examines why large-scale IT programmes in South Africa consistently fail to deliver on time, within budget, and at the expected value. Writing against the backdrop of increasing digital transformation across sectors, Meyerson argues that the real issue is not the technology itself, but how organisations plan, govern, and execute these complex initiatives.
Failure Is a Process, Not an Event
Meyerson highlights that large IT projects rarely collapse suddenly. Instead, they drift over time. Early warning signs such as minor delays, incremental budget increases, and overlooked risks accumulate gradually. By the time leadership recognises the scale of the problem, recovery becomes costly or even impossible. This pattern mirrors failures seen in major infrastructure projects like Medupi and Kusile, where early optimism masked deeper systemic issues.
The Role of Optimism Bias
A central argument in the article is the impact of optimism bias. Organisations often approve projects based on overly confident assumptions, using unrealistic cost and timeline estimates. Meyerson explains that many projects are built on P50 estimates, which only carry a 50% chance of success, yet are treated as guaranteed outcomes. A more responsible approach would adopt higher confidence levels, such as P80, to better account for uncertainty and complexity.
Hidden Complexity in Software Projects
Unlike physical infrastructure, software development progress is difficult to assess visually. Meyerson notes that IT systems can appear to be on track while underlying design flaws and integration challenges quietly accumulate. Combined with inconsistent team productivity and poorly defined project scope, this makes software projects particularly vulnerable to failure.
The Importance of Evidence-Based Planning
To counter planning inaccuracies, Meyerson advocates for Reference Class Forecasting. This method compares proposed projects with historical outcomes of similar initiatives, providing a more realistic foundation for budgeting and scheduling. However, he emphasises that better forecasting alone is not sufficient without strong governance structures.
Leadership and Governance as Critical Drivers
The article reinforces that successful IT programmes depend on leadership capability. Leaders must possess systems thinking, understand interdependencies across functions, and be able to identify early warning signs. Weak oversight and lack of technical understanding at leadership level often allow projects to drift unchecked.
Implications for South Africa’s Digital Future
Meyerson situates the discussion within South Africa’s broader digital transformation. As industries such as finance, telecommunications, logistics, and public services become increasingly reliant on complex digital systems, project failures carry wider economic and societal consequences. System breakdowns affect service delivery, productivity, and public trust.
A Call for More Disciplined Decision-Making
He concludes by urging decision-makers to adopt a more disciplined approach before approving large IT initiatives. Key questions should focus on realistic benchmarking, evidence-based budgeting, and governance readiness. Organisations that succeed are those that detect and correct drift early, before it escalates into full-scale failure.
Read the full article here
Leave a Reply