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United StatesFinance and insurance2024 – ongoing

TS Imagine

Generative AI for email intake, support triage and document processing

TS Imagine saved 4,000 hours a year by automating email intake with generative AI

WorkingVendor case studyVendor ↗

Problem

TS Imagine serves more than 500 financial institutions and received about 100,000 emails a year. Staff watched the inboxes and turned messages into tickets by hand.

Approach

The company used Snowflake Cortex AI with retrieval augmented generation. The AI drops duplicate or irrelevant emails, then creates, assigns, prioritizes and schedules JIRA tickets. The same platform classifies about 5,000 support tickets a month and turns securities documents into structured data. An early prototype ran on GPT-4-Turbo before the team moved to Cortex AI.

Results

4,000 hourssaved per year on manual email monitoring, per SnowflakeVendor case study[1]

Takeaway

Email monitoring was the largest block of manual work removed.

Categories

Innovation type
Process innovation
AI technology
Generative AI
Evidence
Vendor case study

Sources

Source summaries

[1]Snowflake24 Sep 2024

Snowflake describes how TS Imagine uses Cortex AI for email intake, support ticket triage and document processing. It reports 4,000 hours a year saved on email monitoring. The page carries no date; the Internet Archive first saved it on September 24, 2024.

Full details are in the original sources.

Added 4 Nov 2026 · Updated 4 Nov 2026
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