Automation
Practical AI Automation: Where It Helps and Where Rules Work Better
Not every automation needs AI. How to combine predictable rules with AI steps for workflows you can trust.
By CodeNest.CA Team 2 min read
AI has made it possible to automate tasks that once required a person to read and interpret information. But traditional, rule-based automation is still the better tool for many steps.
Use rules when the logic is clear
If a step can be described precisely — when an invoice is approved, create a payment record — a rule is faster, cheaper, and fully predictable.
Use AI when inputs are unstructured
- Classifying free-form emails or messages
- Extracting fields from varied document layouts
- Summarising long text for a person to review
- Drafting responses based on approved information
Combine them
The most reliable workflows use AI for interpretation and rules for action. For example, AI can classify an incoming request and extract key details; rules then validate those details and decide what happens next.
Monitor in production
Track exceptions, review samples of AI outputs, and update prompts, rules, and test sets as you learn. Automation is not a one-time project; it is a system that improves with attention.