Every business process is a story waiting to be automated.
But here’s the challenge: Most organizations can’t tell that story clearly. They stumble when asked to map out their workflows, document their processes, or explain their decision trees.
This matters more than ever in the age of AI.
AI doesn’t just need data – it needs context. It needs to understand the ‘why’ behind the ‘what.’ Process flows provide that crucial context.
Think of process mapping like teaching a new employee:
– What happens first?
– Why does it happen that way?
– What are the decision points?
– Where are the exceptions?
These questions aren’t just documentation exercises. They’re the foundation of effective AI implementation.
The organizations that will thrive with AI aren’t necessarily the ones with the most data or the biggest budgets. They’re the ones that understand their own processes deeply enough to teach them to machines.
Start small:
1. Pick one regular task
2. Document each step
3. Note decision points
4. Identify variables
5. Map exceptions
This isn’t just preparation for AI – it’s a powerful way to understand your own business better.
The future belongs to those who can translate human knowledge into machine-readable processes.
What process will you map first?
