Support path · 5 workflows

Support inbox under control

Clean handovers, better macros, faster escalations and coaching that sticks.

  • Who it's for: Support leads and team managers
  • 310 → 124 min in total (saves 186)
  • 30 steps
Start with workflow 1

The path, in order

Each workflow has its own prompt you can copy into any AI chat, and a checklist to tick off as you go.

  1. Step 1 · Support · Customer Support Lead

    Compiling the shift handover log from unresolved tickets and flagging approaching SLA breaches before the end of the shift

    Support leads spend the last thirty minutes of every shift manually combing through open ticket queues to find urgent issues, leading to missed SLA breaches and incomplete notes passed to the incoming team.

    6 steps · 3 AI · 3 you

    35 → 15 min(saves 20)View workflow
  2. Step 2 · Support · Customer Support Lead

    Review last week's support tickets and find the three macros that need rewriting

    Support teams often rely on outdated macros that fail to resolve customer issues or generate confusion, leading to repeat contacts, but manually auditing hundreds of ticket transcripts to find the worst-performing canned responses takes hours of tedious reading.

    6 steps · 3 AI · 3 you

    120 → 45 min(saves 75)View workflow
  3. Step 3 · Support · Customer Support Lead

    Write the escalation summary before handing a stuck ticket to engineering

    When a support lead needs to hand off a complex technical issue to engineering, writing the summary often requires reading through a long chat history, digging into past error logs, and piecing together the customer's reproduction steps from scratch. Important context gets left out, leading to back-and-forth questions from developers before they can even start investigating.

    6 steps · 3 AI · 3 you

    20 → 12 min(saves 8)View workflow
  4. Step 4 · Support · Customer Support Lead

    Score a sample of agent replies against the team's quality checklist

    Team leads and QA reviewers lack the time to manually evaluate more than a tiny fraction of total support tickets, leaving coaching gaps and inconsistent adherence to support standards unspotted.

    6 steps · 3 AI · 3 you

    15 → 7 min(saves 8)View workflow
  5. Step 5 · Support · Customer Support Lead

    Reviewing support chatbot transcripts to find where customers get stuck and sending those failed conversations to the team that updates the training data.

    Support leads spend hours reading through hundreds of chat logs manually to find loops where the bot repeats itself or fails to answer, meaning many failed interactions go unnoticed until customers complain.

    6 steps · 2 AI · 4 you

    120 → 45 min(saves 75)View workflow

Other paths

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