First, diagnose the root cause by examining input quality, email complexity, or the AI's understanding of context.
Next, refine the AI's instructions by providing more detailed prompts, specific guidelines, or even few-shot examples of desired summaries.
Consider pre-processing the emails to remove irrelevant information, normalize formatting, or extract key entities before inputting them to the AI.
Finally, implement a human-in-the-loop review process for problematic summaries, or explore using a different AI model or fine-tuning the existing one with your specific email dataset.