TICKET MANAGEMENT
SLA Breach Trend Forecaster and Capacity Planner
Each morning it analyzes historical ticket and SLA data from Postgres, forecasts the next 24 hours of breach risk by queue.
How it runs
The automated pipeline, trigger to output.
- TriggerWeekday morning schedule
- ActionQuery ticket history and SLA outcomesPostgres
- LogicBuild per-queue breach-risk forecast
- ActionGenerate ranked recommendationsOpenAI
- OutputPost briefing to Slack and archiveSlack
What it does
It reads recent ticket volume, resolution times, and SLA outcomes from a Postgres warehouse, projects expected inbound load and breach risk per queue for the coming day, and asks an LLM to turn the numbers into concrete recommendations such as which queue needs more coverage or which backlog to clear first. The result is a manager briefing.
When to use it
Use this for proactive planning rather than per-ticket firefighting. It answers "where are we likely to miss SLA tomorrow and what should we do about it" before the day starts, so staffing and queue focus are set deliberately.
How it works
- 1A schedule fires every weekday morning.
- 2Postgres returns trailing ticket history, SLA hit/miss records, and current backlog by queue.
- 3A logic step builds a per-queue breach-risk forecast from arrival rate and handle-time trends.
- 4OpenAI summarizes the forecast into ranked recommendations with reasoning.
- 5The briefing is posted to the managers' Slack channel and archived to Postgres for trend tracking.
Set it up
What you configure once, before turning it on.
- 1Connect PostgresAny Postgres URL — query, write, migrate.
- 2Connect OpenAIModels, embeddings, files.
- 3Connect SlackChannels, DMs, threads, mentions.
- 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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Run this workflow in your colony.
14-day trial. No DevOps. No Sales call. Provisioned in under a minute.