Feature Requests

Improve AI Auto-Title Generation by Adding Image/OCR Parsing and Promotional Content Filtering
When tickets are created from image-heavy emails (e.g., Microsoft promotional footers with alt-text like "Get Outlook for iOS"), the AI title generator reads image metadata rather than actual message intent. This results in misleading titles that impact triage, dispatch, and SLA prioritization. Real-world example: a contact reporting "My computer might be hacked" received an AI-generated title of "Install Outlook for iOS" due to a Microsoft promotional footer in the email body, causing the ticket to be triaged as a routine software install rather than a security incident. The request covers five improvements: Image/OCR Parsing - Analyze embedded images for actual visual content, not just alt-text or filename metadata. Promotional Content Filtering - Identify and deprioritize common marketing/promotional image patterns (e.g. "Get Outlook for iOS", "Download our app") when generating titles and summaries. Subject Line Weighting - Weight the email subject line more heavily than image alt-text in the title generation model. Contextual Intent Scoring - When the body text is sparse or image-dominated, fall back to the email subject line as the primary title source. Confidence Flagging - If the AI cannot confidently determine ticket intent, flag the auto-generated title as low-confidence so dispatchers know to manually review before routing. Business impact includes triage accuracy, SLA risk (security incidents misrouted as software installs), client trust in sensitive industries (healthcare, finance), and tech efficiency. Submitted by Craig Wilde, Acrisure Cyber Service.
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