AI & RAG
Ask-the-Deal-Corpus Slack Assistant for Live Objections
A Slack slash command where a rep pastes an objection mid-call and instantly gets a synthesized, multi-deal answer with linked transcript sources pulled from the won/lost playbook.
How it runs
The automated pipeline, trigger to output.
- TriggerRep sends objection via Slack commandSlack
- ActionEmbed objection query with OpenAIOpenAI
- ActionRetrieve matching snippets from Notion corpusNotion
- LogicRank and prefer won-deal responses by topic
- ActionSynthesize recommended talk track via OpenAIOpenAI
- OutputReply in Slack thread with answer + sourcesSlack
What it does
This gives reps a conversational front door to the objection corpus right inside Slack. A rep types the objection they just heard, and the assistant retrieves the most relevant snippets across multiple past deals, synthesizes a single recommended response, and replies in-thread with the suggested talk track plus links to the source transcripts so the rep can trust the answer.
When to use it
Use it for live or near-live coaching during calls and demos, when a rep needs a fast, defensible answer and a Front draft or email flow is too slow. It is the interactive retrieval surface for the same indexed corpus.
How it works
- 1A rep invokes the workflow with a Slack message or slash command containing the objection.
- 2The objection text is embedded for semantic search.
- 3The top matching won-deal and lost-deal snippets are retrieved from the Notion playbook database.
- 4A logic step ranks results and prefers responses from won deals on the same objection topic.
- 5OpenAI synthesizes one concise recommended talk track, noting what to avoid based on lost-deal patterns.
- 6The answer and clickable source links are posted back to the rep's Slack thread.
Set it up
What you configure once, before turning it on.
- 1Connect SlackChannels, DMs, threads, mentions.
- 2Connect OpenAIModels, embeddings, files.
- 3Connect NotionPages, databases, comments.
- 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.
More AI & RAG workflows
Publish a Grounded API FAQ Page to Confluence Weekly
Each week, clusters the top unanswered or repeated API questions, generates spec-grounded answers with citations.
Detect Breaking API Changes from Spec Diffs and Alert Owners
Compares the new OpenAPI spec against the previous version on each GitLab merge, uses retrieval over the changelog to classify whether changes are breaking.
Pre-meeting prep brief grounded in Coda and CRM
Before each booked sales meeting, builds a one-page prep brief by combining the account's HubSpot context with grounded talking points and objection responses pulled from your…
Coda-grounded sales answer bot with citations in Slack
Reps ask product, pricing, or competitive questions in Slack and get an answer drawn only from your Coda knowledge hub, with links to the exact docs and rows it pulled from.
Weekly knowledge-gap digest from unanswered rep questions
Each week, scans rep questions the answer bot couldn't ground in Coda, clusters the recurring gaps.
RFP and security questionnaire drafter grounded in Coda
Drafts answers to inbound RFP and security questionnaire questions by retrieving approved language from your Coda hub, then files the cited draft for review before a rep sends it.
Run it inside a business
This workflow drops into a full company template. Import the org, and this is one of the playbooks its agents run.
Run this workflow in your colony.
14-day trial. No DevOps. No Sales call. Provisioned in under a minute.