Five things you automate when every pipeline action is a REST call

Every LeadGrid UI action — create a dossier, move a stage, add a note, assign a member — is a documented REST call. That's not a feature; it's the shape of the product. It means the boundary between "what LeadGrid does" and "what your own code does" is just an HTTP request.

Here are five automations that take less than an afternoon once you stop thinking of your CRM as a thing you click on.

1. Auto-create dossiers from inbound email

Every workspace gets an inbound address. Forward a lead or a CV to it, LeadGrid parses the sender and attachment, creates a structured dossier, and fires a webhook at your automation layer.

No scraping a shared inbox. No CSV upload. Your AE forwards a client intro, and by the time they refresh the grid the dossier is assigned, tagged, and in the correct pipeline.

2. Stage-based Slack pings with context

dossier.stage_changed webhook → your function → Slack message. The body includes dossier name, old stage, new stage, assignee, and deadline. You write the filter: if new_stage == "Interview" and dossier.type == "candidate" → #recruitment-live. Sales deals follow a different channel and a different threshold.

You're not reconfiguring notifications in a vendor UI. You're expressing a rule in code, versioned with the rest of your infra.

3. Deadline escalations that actually escalate

LeadGrid has built-in deadlines. What's different is you can subscribe to dossier.deadline_missed and react the way your team operates: page the owner's manager, post in the escalation channel, open a Linear ticket, or fire a calendar reminder 24 hours before.

The API lets you compose escalations out of services you already run. No new dashboard to check.

4. Keep your data warehouse current without ETL

Every dossier event — created, moved, closed, commented — is available as a webhook. Pipe them into a queue, write them to your warehouse, and your BI layer is caught up in seconds instead of the 24-hour lag of a nightly sync.

// pseudo-handler
app.post("/webhooks/leadgrid", async (req) => {
  const sig = req.headers["x-leadgrid-signature"];
  verify(sig, req.rawBody);            // HMAC, documented
  await queue.publish("leadgrid", req.body);
  return { ok: true };
});

No ETL pipeline, no scheduled job, no "oh the sync is broken again." The source of truth pushes, your warehouse listens.

5. Agents that move pipelines on their own

This is where it gets fun. Because every action is a REST call with a clean OpenAPI spec, an LLM can drive LeadGrid. A Claude or GPT agent can:

• Read a candidate's CV from storage
• Write an AI summary and post it as a note
• Move the dossier to the next stage if the summary matches the role
• Email the candidate a structured next-step using the workspace's sender domain

None of this requires scraping. The agent calls POST /v1/dossiers/<id>/notes the same way a human clicks "Add note."

We're not selling a closed AI feature on top of a closed CRM. We're selling a programmable pipeline — and you decide which of those loops run with humans, which with automation, and which with agents.

The underlying point

Every CRM can produce a CSV. Very few are designed so the entire surface is as callable as a library. LeadGrid is. Read the spec at /docs/api, grab an API key from your workspace settings, and ship your first automation in an afternoon.

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