Guide · Comparison
AI or rules-based automation?
Rules-based automation executes steps with clear conditions. AI support can be assessed where text interpretation, summarising or drafting is needed. Both can be used in the same process. Use this comparison to choose an approach for your work and clarify who keeps important decisions.
Choose technology for a more usable workflow, not more complexity. You don't need to work out how much AI is needed on your own; we can start by understanding the work together.
Start the comparison with five points.
| Criterion | Assessing rules-based automation | Assessing an AI-assisted approach |
|---|---|---|
| Input | Are fields defined and conditions clear? | Does free text or varied wording need interpretation? |
| Decision | Can the action be expressed as a rule? | Is a summary, classification or draft needed? |
| Error impact | How will incorrect rules or data be checked and stopped? | How will incorrect output be detected and corrected? |
| Human approval | Who is authorised before a critical action? | Which output must be reviewed before sending or applying it? |
| Maintenance | What changes when a field, tool or business rule changes? | How will the model, instructions, examples and output checks be monitored? |
This comparison does not claim rules-based systems are error-free or AI is always better. Both require attention to data, access, testing and maintenance.
Two routes for the same enquiry
Rules-based route: If the selection is clear enough, interpreting text may be unnecessary.
AI-assisted route: AI's suggestion does not replace a final commercial decision or authorise an automatic external response.
Rules-based route
- Service selected in a form
- The service owner
- Follow-up record
AI-assisted route
- Free-text enquiry
- Short summary or suggested topic
- Human review
- Suitable owner and next step
These are examples explaining the choice, not customer results. The two methods can also work together at different steps in the same process.
When can choosing not to use AI be right?
Choose a simpler method if a clear rule already solves the task; required data or a review route is missing; error impact cannot be controlled; or added usage and maintenance effort may outweigh the benefit. Adding AI to an unclear task definition does not automatically resolve the uncertainty.
Assess small examples first.
Choose normal, incomplete and unexpected inputs. Define who checks the output and when the process must stop. Compare accuracy, corrections and effort before concluding that one approach is better.
Let's assess which approach is sufficient.
Describe your work; let's combine rules-based steps, AI support and human decisions in a workflow that fits everyday use.