AI AGENTS
Daily SLA-Breach Sweep with Per-Account Offer Plan
A scheduled job queries Postgres for tickets that breached SLA in the last 24 hours, has an agent draft a prioritized remediation plan per affected account.
How it runs
The automated pipeline, trigger to output.
- TriggerDaily schedule fires sweep
- ActionQuery Postgres for 24h SLA breachesPostgres
- LogicDrop accounts already remediated this week
- ActionAgent ranks by churn risk + drafts offers
- OutputPost prioritized digest to SlackSlack
What it does
Runs once a day to find every SLA breach in the trailing window, groups them by account, and produces a triage digest: which customers were hurt, how badly, and the recommended remediation for each — ranked by churn risk. The support lead gets one Slack post instead of scattered alerts.
When to use it
Use it when real-time per-ticket handling is too noisy and you'd rather do a single morning sweep. Good for teams that batch their goodwill outreach and want a defensible, prioritized list.
How it works
- 1A daily schedule triggers the sweep.
- 2A Postgres query returns tickets breached in the last 24 hours with account and severity columns.
- 3A branch drops accounts already remediated this week to avoid double-touching.
- 4The agent ranks remaining accounts by churn risk and drafts a recommended offer for each.
- 5The flow posts the consolidated digest to the support-lead Slack channel.
Set it up
What you configure once, before turning it on.
- 1Connect PostgresAny Postgres URL — query, write, migrate.
- 2Connect SlackChannels, DMs, threads, mentions.
- 3Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 4Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 5Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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Run it inside a business
This workflow drops into a full company template. Import the org, and this is one of the playbooks its agents run.

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