CUSTOMER SUPPORT
Front Escalation Audit Log to Snowflake
Every time a Front conversation is escalated to a CSM, captures the sentiment context and writes a structured audit row to Snowflake for response-time and outcome reporting.
How it runs
The automated pipeline, trigger to output.
- TriggerFront conversation escalated/assignedFront
- ActionGather conversation, contact, and CSM detailsFront
- ActionScore sentiment snapshot with LLMOpenAI
- LogicShape into typed audit record
- OutputInsert audit row into SnowflakeSnowflake
What it does
Listens for escalation events on Front conversations, enriches each one with an LLM-scored sentiment snapshot and the assigned CSM, and appends a structured row to a Snowflake table so leadership can report on escalation volume, response times, and recovery outcomes.
When to use it
Use it when escalations already happen but nobody can measure them — you want a clean analytical record of which accounts escalate, who owns them, and how the sentiment looked at the moment of handoff.
How it works
- 1A Front conversation tagged or assigned as an escalation fires the trigger.
- 2The flow gathers the conversation, contact, and assigned CSM details.
- 3OpenAI produces a normalized sentiment score and one-line reason at the escalation moment.
- 4A logic step shapes the data into a typed audit record with account, owner, score, and timestamps.
- 5Snowflake receives an insert into the escalation audit table for downstream dashboards.
Set it up
What you configure once, before turning it on.
- 1Connect FrontShared inbox, conversations.
- 2Connect OpenAIModels, embeddings, files.
- 3Connect SnowflakeWarehouses, queries, shares.
- 4Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 5Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 6Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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