Opportunity Assessment

This section focuses on identifying where AI and automation should be applied — and where they should not.

What this covers

• Evaluating business processes
• Identifying automation opportunities
• Assessing suitability for AI
• Estimating impact and risk

Why it matters

Not every problem should be solved with AI.

Effective automation requires:

• the right use case
• clear value
• manageable complexity

Poorly chosen problems lead to:

• wasted effort
• unreliable systems
• low ROI

What to look for

• How processes are evaluated
• What criteria determine suitability
• How decisions are justified

Key principle

The most important step in AI automation is not building — it is choosing the right problem to solve.