39 Years in Tech, One Lesson: Software Won't Fix Broken Processes
Lungi Sangqu wrote her first lines of code in 1987, back when computing was still a novelty in her Eastern Cape community. Nearly four decades later, after leading digital work in banking, rail, logistics, and higher education across 49 African countries, her sharpest insight has nothing to do with software. It is about people, governance, and the costly gap between buying technology and actually solving problems.
The Problem Comes Before the Product
Sangqu's career ran through the Public Service Commission, SITA, the South African Reserve Bank, DHL Express, UNISA, and Transnet Freight Rail. Across all of them, she saw the same pattern: organisations pouring millions into platforms without asking whether those platforms improved customer experience, staff productivity, or decision-making. Her rule is blunt — start with the problem, never the product. At UNISA, digitising applications, registration, and grading meant re-engineering processes and training staff, not just procuring tools. By August 2013, assignment marking had moved fully online, but rural students without devices or broadband hit real friction. A launch, she argues, is only a milestone. The real test is whether the change sustains and whether people feel a tangible improvement.
Shadow IT Is a Trust Problem, Not a Discipline Problem
When approval processes crawl and leaders treat technology as purely an IT department concern, employees route around the system. They buy their own tools or store data outside approved channels. Sangqu calls this a governance and trust problem, not just a compliance breach. Her answer isn't more rules — it's leaders owning technology decisions and making internal processes clear enough to follow. She also pushes organisations to judge local technology on reliability, security, affordability, and fit, rather than dismissing it because the supplier's name is unfamiliar. Working with local providers can build skills and knowledge transfer, so buying a system doesn't leave an institution permanently dependent on an outside vendor.
AI Raises the Stakes on Human Oversight
As artificial intelligence reshapes workplaces, Sangqu wants boards to define the specific operational problem before deploying it, verify data integrity, and establish clear human oversight. She also insists leaders plan for workforce transitions when tasks are automated, re-skilling employees for higher-value roles instead of viewing automation only as a cost-cutting lever. On young talent, she is direct: many arrive with native digital literacy only to be stifled by manual workflows and managers who prize physical presence over output. Knowledge exchange, she says, must be reciprocal — established leaders should listen to younger staff who spot inefficiencies. Her goal through Africa Digital Success is self-sustaining institutional capacity across the continent.
Key Takeaways
- Lungi Sangqu argues organisations must start with the problem, never the product, before buying technology.
- Shadow IT stems from slow approvals and leadership abdication, not just employee indiscipline.
- Digital success is measured by sustained change and tangible improvement for the people served.
- Boards should define the operational problem, verify data, and set human oversight before deploying AI.
- Local technology should be judged on reliability, security, affordability, and fit — not brand familiarity.
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