A practical perspective for technology leaders.
Start with the operational moment
The most valuable AI opportunities usually appear inside existing workflow friction: a high volume of repeated requests, a long queue of decisions or a customer interaction that lacks context. The starting point should be the operational moment—not the technology demonstration.
Design the human handoff
Automation should make it clear when a person needs to take over. Good AI systems preserve context, route exceptions thoughtfully and give teams a practical way to review or correct an outcome.
Make learning measurable
Build feedback loops around quality, completion, exception rates and user confidence. These signals help organisations improve the service and decide where more automation is genuinely useful.
- Focus on a defined workflow before choosing a model.
- Treat human oversight as a product requirement.
- Measure service outcomes, not just AI activity.
