AI & RAG

Draft Grounded Objection Replies for Inbound Front Emails

When a prospect email hits a Front inbox, it detects the objection, retrieves the closest matching response from your won-deal transcript corpus.

CategoryAI & RAG
Enginesim
Difficultyintermediate
Triggerevent
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerNew inbound message in Front inboxFront
  • ActionClassify and extract objection with OpenAIOpenAI
  • LogicExit if email contains no objection
  • ActionRetrieve top matching snippets from Notion corpusNotionNotion
  • ActionCompose grounded reply with citations via OpenAIOpenAI
  • OutputPost draft + sources as Front commentFront

What it does

This workflow turns the indexed transcript corpus into a real reply. It reads inbound prospect emails in Front, identifies whether the message contains a sales objection (price, timing, competitor, integration risk), retrieves the most similar successful rebuttal from the embedded playbook, and drafts a tailored response grounded in language that actually closed deals.

When to use it

Use it when reps handle objections over email through Front and you want consistent, proven answers without anyone digging through old threads. It assists rather than auto-sends, so a human always approves the final message.

How it works

  1. 1A new inbound message in the Front inbox triggers the flow.
  2. 2OpenAI classifies whether the email contains an objection and extracts its core concern.
  3. 3A logic branch exits quietly for non-objection emails so reps are not interrupted.
  4. 4The concern is embedded and matched against the Notion-backed snippet corpus to pull the top won-deal responses.
  5. 5OpenAI composes a reply in the rep's voice, citing which past deals the answer draws from.
  6. 6The draft and its citations are posted as an internal comment on the Front conversation for one-click review and send.

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
    Connect NotionPages, databases, comments.
  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.