Where the work goes
Cleaning source data and agreeing the right workflow can take more effort than connecting to a model. Document volumes, quality and sensitivity affect the design.
- Discovery and representative examples
- Model and infrastructure usage
- Integrations and permissions
- Evaluation, monitoring and human review
Start with a bounded pilot
Choose one repeated information task, define a useful outcome and set a human review point. Compare against a rule-based approach; AI is not always necessary.
Ask how errors will be found, corrected and paid for over time. Include data protection and vendor terms in the decision.
Plan ongoing ownership
Usage charges vary by workload; prompts, models and source material change. A project plan should state who reviews performance and who can stop or adjust the automation.
Questions worth asking
Is a chatbot always the cheapest option?
No. A well-designed form, search interface or rule-based workflow may be simpler and more reliable.
Advice here is general; the appropriate implementation depends on the people, systems and constraints involved.