Guide

How to automate email handling in the company?

From email classification to order logging and escalation of complex issues. Before choosing a tool, it is worth understanding the process and checking what data passes between systems. Only then can you compare implementation costs with potential manual work reduction.

11. Gather information about the process.

Identify message types and determine which ones can be processed without human intervention. Document typical cases and exceptions so as not to optimize only the ideal path.

22. Compare methods.

Begin with features already available in systems, then check API integrations and imports. OCR serves document reading, while language models may help interpret variable content — however, they require result validation.

33. Plan testing.

Define measurable goals, a set of test data, process owners, and error handling methods. Ensure correspondence privacy, avoid incorrect responses, and maintain decision trails.

44. Calculate total costs.

Beyond implementation, consider maintenance, licensing, observability, exception handling, and future system changes.

55. Phased Implementation.

Start with a process that has clear rules and business value. Ensure the possibility of rolling back operations and maintain readable documentation.

6FAQ: Does this task always require AI?

No. If the system provides predictable data, rule-based automation is often easier to test and maintain.

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From email classification to order logging and escalation of complex issues. Before choosing a tool, it is worth understanding the process and checking what data passes between systems. Only then can you compare implementation costs with potential manual work reduction.

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