AI now features in every technology conversation, yet many organisations get stuck on a simple question: where do we start? The answer is not choosing a tool; it is choosing a problem.
Start with the problem, not the tool
Look for a task that is repetitive, consumes skilled people’s time and follows fairly clear rules. Common examples: reading and keying in invoices, answering recurring questions from internal policies, and classifying and routing incoming requests. These are good candidates because they are measurable.
Assess your data readiness
AI is only as good as the data it works on. Ask: where is the data? Is it structured? Who has access? Does it contain personal data requiring special handling under the Personal Data Protection Law?
Run a focused pilot
Instead of a large programme, run a small pilot with a clear success metric, such as reduced request handling time or fewer errors. Measure the result before scaling.
Governance is not optional
- Define decisions that always need human approval.
- Record sources when answers come from internal documents.
- Restrict permissions so the system only sees what it needs.
The takeaway
Success with AI comes from one successful use case that builds trust, then gradual scaling. If you are looking for a starting point, explore our AI services.