CUSTOMER SUPPORT

On-Demand Macro Suggestions via Agent Comment Command

When an agent types a slash command in a Front comment, retrieves the best-matching canned replies from past resolved threads and posts the ranked options back…

CategoryCustomer Support
Enginesim
Difficultyintermediate
Triggerevent
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerInternal Front comment postedFront
  • LogicMatch /suggest command and extract query
  • ActionSearch resolved threads and macros for matchesFront
  • ActionRank top candidates with rationaleOpenAI
  • OutputPost ranked suggestions as internal commentFront

What it does

This gives agents a pull-based assistant inside Front. An agent who is unsure how to reply leaves an internal comment like `/suggest refund policy`, and the workflow returns the top matching canned replies drawn from previously resolved threads, ranked with a one-line rationale for each.

When to use it

Use it when agents want suggestions only on the tickets they choose, rather than an auto-draft on every conversation. It keeps suggestions out of the way until explicitly requested and respects agent judgment on tricky threads.

How it works

  1. 1A new internal comment in Front containing the `/suggest` command fires the trigger.
  2. 2A filter confirms the command pattern and extracts the agent's query text.
  3. 3The flow searches resolved Front threads and the macro set for matches to that query.
  4. 4An OpenAI step ranks the top three candidates and writes a short why-this-fits note for each.
  5. 5The ranked suggestions post back into the same conversation as an internal comment the agent can copy from.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect FrontShared inbox, conversations.
  2. 2
    Connect OpenAIModels, embeddings, files.
  3. 3
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  4. 4
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  5. 5
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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