Run Proposal Generation on Airtable — AI Agent
Already on Airtable? Add an Arahi AI agent for Proposal Generation and save hours every week without writing code.
Proposal v1 drafted. Cover email queued:
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 Airtable
Link Airtable to Arahi AI in one click. Your tasks, projects, and documents sync automatically.
Set Up Workspace Automation
Define triggers in Airtable — new tasks, status changes, due dates — and the AI actions that follow.
Work Smarter, Not Harder
Your AI agent keeps Airtable organized while you focus on execution. Track productivity gains on your dashboard.
Northwave · Arahi proposal (v1) — for your Friday review
Attached is the v1 proposal for Northwave — 18 seats, 12-month term, $138K ACV with the early-renewal credit applied.
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 procurement@northwave.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: Generate a tailored proposal with @Airtable for the Northwave deal — pull scope
- Agent11:38 AM
Confirmed sender domain DKIM is healthy.
Frequently asked questions
Yes. You can run proposal generation workflows in test mode using sample Airtable data before activating on live records. This lets you verify every proposal generation rule works correctly with your Airtable setup before processing real data.
Yes. You define exactly which Airtable events start proposal generation workflows — new records, status changes, messages, or custom triggers. Each trigger can have conditions so proposal generation actions only fire when your specific criteria are met in Airtable.
Yes. The proposal generation agent connected to Airtable simultaneously interacts with 1,500+ other apps — CRMs, databases, email platforms, and more. A single proposal generation workflow can pull data from Airtable, process it, and push results to multiple destinations.
The proposal generation agent scales automatically as your Airtable activity grows. Whether you process 10 or 10,000 proposal generation tasks per day from Airtable, the AI handles the volume without slowdowns or additional configuration.
Teams automating proposal generation through Airtable typically save 10-20 hours per week on manual processing. The ROI dashboard tracks time saved, tasks completed, and error reduction so you can quantify exactly what Airtable-powered proposal generation automation delivers.
Yes. You can create parallel proposal generation workflows that respond to different Airtable events or conditions. For example, one proposal generation flow for new Airtable records and another for updated ones — each with independent rules and actions.
The Airtable integration maintains a persistent real-time connection for proposal generation automation with automatic retry logic and continuous monitoring. If Airtable experiences downtime, queued proposal generation tasks process automatically once connectivity resumes.
The dashboard shows proposal generation-specific metrics for your Airtable integration — tasks processed, average handling time, success rates, and escalation frequency. You can track how Airtable-triggered proposal generation workflows perform over time.
Arahi AI connects to Airtable via one-click OAuth, then runs proposal generation workflows that read and write Airtable data on a schedule or in response to triggers. You configure the rules once; the agent executes proposal generation across every relevant Airtable record without developer involvement.
Airtable holds the data; AI supplies the judgment and throughput. Together they turn proposal generation from a manual, inconsistent process into one that runs at machine speed with a consistent quality bar — freeing your team to focus on the Airtable-adjacent work that genuinely needs human attention.
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