TICKET MANAGEMENT

SLA Capacity Advisor Agent

An agent that hourly evaluates forecasted SLA breach load against current agent capacity and recommends concrete staffing or reassignment actions.

CategoryTicket Management
Enginepaperclip
Difficultyadvanced
Triggerschedule
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerHourly schedule
  • ActionGather tickets, SLA metrics, rosterZendeskZendesk
  • LogicForecast breach load vs agent throughput
  • LogicDecide if intervention is warranted; draft recommendation
  • ActionPage duty manager if action neededPagerDutyPagerDuty
  • OutputPost recommendation + rationale to SlackSlack

What it does

This agent-driven workflow reasons about the gap between forecasted SLA breach pressure and available agent capacity. Rather than just listing at-risk tickets, it decides whether the current staffing can absorb the load and recommends specific actions: pull a floater in, redistribute a backlog, or extend coverage.

When to use it

Use it when you want judgment, not just alerts. It suits operations leads who need a recommendation they can act on in seconds during a surge, and who only want to be interrupted when action is genuinely warranted.

How it works

  1. 1An hourly schedule starts the agent.
  2. 2It gathers open tickets and SLA metrics from Zendesk and current roster availability.
  3. 3The agent forecasts breach volume by hour and compares it against projected agent throughput.
  4. 4It reasons about whether existing capacity covers the forecast, and if not, drafts a concrete staffing recommendation with the tickets and agents involved.
  5. 5When intervention is needed it pages the duty manager through PagerDuty.
  6. 6It posts the recommendation and rationale to the operations Slack channel for the record.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect ZendeskTickets, queues, knowledge base.
  2. 2
    Connect PagerDutyIncidents, on-call, escalations.
  3. 3
    Connect SlackChannels, DMs, threads, mentions.
  4. 4
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  5. 5
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  6. 6
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

Run this workflow in your colony.

14-day trial. No DevOps. No Sales call. Provisioned in under a minute.