2026-07-04 · Article
Why South African SMEs need an AI audit before an AI project
Most AI projects fail before they start. An audit tells you which ones would not have.
Most South African businesses that come to us already have an AI tool in mind, a chatbot, an automation, a "let's use AI for that" idea pitched in a meeting. Very few have asked the question that actually determines whether that tool will pay for itself: where in the business does AI genuinely remove cost or risk, and where would it just be expensive decoration?
That question is what an AI audit answers. It is not a sales pitch for a particular tool. It is a structured look at your data, your workflows and your team's actual bottlenecks, followed by a short list of AI applications ranked by realistic return, not by how impressive they sound in a demo.
What we actually look at
- Data readiness: can the systems you already run (accounting, CRM, document stores) actually feed an AI system, or does the data need cleaning up first?
- Process bottlenecks: where is a person doing repetitive, rule-based work that is costing hours every week?
- Risk exposure: where would an AI mistake be expensive (compliance, client-facing communication, financial calculations) versus low-stakes?
- Build vs buy: some problems need a custom build; most don't. We tell you which is which before you spend a rand.
Frans's Take
I built LinguistPro, our own transcription and meeting-intelligence product, before I ever pitched an AI audit to a client. I wanted to know, first-hand, what it actually costs and how long it actually takes to ship an AI product that real people pay for and keep using. That is the difference between an AI consultancy that has read about AI and one that has shipped it.
If you are weighing up an AI project and are not sure whether it is worth the spend, that is exactly what an audit is for.
Book the two-hour diagnostic