Nudge stalled deals in the AE's voice, with a real reference to the conversation.
ChatGPT watches deals that go quiet, drafts a follow-up that references the last call's specifics, and routes the message to the AE for a one-click send.
18 nudges drafted. First one queued:
How does OpenAI (ChatGPT) work for follow-up automation?
OpenAI (ChatGPT) works for follow-up automation by powering an Arahi AI agent that runs the workflow end-to-end inside your existing tools — no code, no custom build. The agent connects to OpenAI (ChatGPT) alongside the other apps your team already uses, watches for the triggers that matter for follow-up, and takes the next step on its own while keeping a complete audit trail for review. AI tracks every conversation and triggers follow-ups at the right time automatically. Teams typically see 100% every lead touched on cadence once the agent is in production. You stay in control: every action is logged, confidence thresholds are configurable, and anything ambiguous is queued for a human instead of being silently auto-completed.
Built in plain English.
You write the rule the way you'd describe it to a teammate. The agent reads the rule, breaks it into the actions it'll take, and confirms the apps it'll touch — before it does anything.
- 1Read the trigger event and pull the contact's context
- 2Draft the message in your team's voice
- 3Cite each personalized line's source
- 4Queue for your review or auto-send by confidence
Get started in three steps
Connect OpenAI (ChatGPT)
Authorize OpenAI (ChatGPT) in your Arahi AI dashboard. The secure connection takes less than 60 seconds.
Configure Your AI Agent
Set up triggers, actions, and conditions specific to how your team uses OpenAI (ChatGPT).
Deploy & Monitor Results
Your AI agent goes live immediately. Track tasks automated, time saved, and accuracy metrics in real-time.
Brightlane · anything I can clear up before Friday?
Wanted to circle back on the proposal I sent last Wednesday. No pressure — usually when things go quiet at this stage it's procurement, not the product.
Personalized using LinkedIn activity from the last 30 days.
Approve before it sends.
Every draft lands in a review queue. You approve, edit, or reject — the agent never acts on its own unless you explicitly turn that on for a workflow you trust.
Every action, with the reasoning attached.
Each step the agent takes is logged with what it did, why it did it, and which app it touched. Audit-ready, so security and compliance can sign off without backfilling.
- Marco11:42 AM
Approved the draft to evan.cole@brightlane.io.
- Agent11:41 AM
Drafted the email and queued it for review.
Reason: High-confidence personalization but recipient is C-level — escalating per policy.
- Agent11:40 AM
Pulled LinkedIn activity and HubSpot deal context.
- Agent11:40 AM
Triggered: For every Salesforce deal stuck in proposal > 7 days, have @ChatGPT send a tailo
- Agent11:38 AM
Confirmed sender domain DKIM is healthy.
Frequently asked questions
Based on the stage, the days-since-last-touch, and the prospect's signals (email opens, content visits). Each stage has its own cadence — proposal-sent gets a 7-day nudge, discovery gets 3-day.
The agent reads the call transcript and weaves a real detail into the follow-up — "following up on the SOC 2 question Jamie raised" — instead of generic "checking in." If there's nothing specific to reference, it skips the nudge.
Configurable per stage and per AE. Most teams auto-send for routine nudges and review for higher-stakes ones (multi-stakeholder deals, late-stage).
The agent classifies the objection (timing, budget, fit, internal) and routes to the AE with a draft response based on your team's best handlings of that objection.
Yes. The same engine handles support resolution check-ins, post-trial nudges, and renewal-prep outreach. Each has its own cadence and voice.
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