Choosing the right tool: rules, AI, agent or person
Not every task should go to AI. A method for deciding which ones should.
A working sample we built to show how we would solve a problem like this. It is not a delivered project.
In plain terms
Not every task should be handed to AI. This demo sorts eleven common business-automation areas into five kinds of solution: fixed rules, a step-by-step workflow, an AI model, an AI agent, or a person. It sets how risky each one is and decides when a task must be passed to a human. The safety checks that stop the AI acting alone are real and tested.
- Each task gets the simplest approach that is safe.
- Risky decisions are routed to a person.
- The safety checks were proven on real cases, unedited.
What this does not claim: The sorting of the eleven areas is an illustration based on public information, not a design for any real system. The safety-check demo itself is real.
Technical details
Method: classify each area as deterministic, workflow, LLM, agent or human; assign risk tiers and confidence thresholds; route each area accordingly. A working guardrails mechanism is demonstrated on real cases with automated checks.
- Python
- LLM guardrails
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