AI Agent for Lead Enrichment — Built for Chaport
Automate Lead Enrichment for teams using Chaport. Arahi AI agents handle the workflow end-to-end — no code, set up in minutes.
84 contacts enriched. Latest write-back:
Meeting notes
- • Title: VP of Operations · Series B (Mar 2024) · 80 FTE.
- • Stack: HubSpot, Stripe, Notion, Slack, Linear.
- • Buying signals: 2 ops hires last 60d, recent G2 review search.
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 meeting transcript end-to-end
- 2Extract decisions, commitments, and next steps
- 3Update the deal record and advance the stage if criteria met
- 4Notify the right teammate with the relevant context
Get started in three steps
Connect Chaport
Authorize Chaport and Arahi AI immediately starts monitoring incoming tickets and support events.
Configure Ticket Workflows
Set up AI triage rules — classify tickets by type, assign priority, and route to the right agent in Chaport.
Resolve Faster & Track Results
AI handles routine tickets and drafts responses in Chaport. Monitor resolution times and satisfaction scores live.
Title: VP of Operations · Series B (Mar 2024) · 80 FTE.
Action items extracted; assignees notified in Slack.
Three deals moved to next stage; risks flagged for the AE.
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.
- Agent2:47 PM
Updated Salesforce · Contacts with the meeting outcome.
- Agent2:46 PM
Advanced deal stage; the criteria for Proposal were met.
Reason: Budget confirmed and decision-maker identified per stage definition.
- Agent2:45 PM
Wrote meeting notes for Contact · Sam Okafor (Beacongrid).
- Agent2:44 PM
Read the transcript and extracted action items.
- Agent2:30 PM
Triggered by call end event in Granola.
Frequently asked questions
Yes. The lead enrichment agent connected to Chaport simultaneously interacts with 1,500+ other apps — CRMs, databases, email platforms, and more. A single lead enrichment workflow can pull data from Chaport, process it, and push results to multiple destinations.
Yes. You define exactly which Chaport events start lead enrichment workflows — new records, status changes, messages, or custom triggers. Each trigger can have conditions so lead enrichment actions only fire when your specific criteria are met in Chaport.
Yes. You can create parallel lead enrichment workflows that respond to different Chaport events or conditions. For example, one lead enrichment flow for new Chaport records and another for updated ones — each with independent rules and actions.
Manual lead enrichment in Chaport requires constant tab-switching, copy-pasting, and follow-up tracking. Arahi AI eliminates this by handling lead enrichment tasks in real-time as Chaport events occur — running 24/7 with consistent accuracy and zero fatigue.
No coding required. The no-code builder walks you through connecting Chaport and configuring lead enrichment rules visually. Your team can set up, modify, and manage Chaport-based lead enrichment workflows without any developer involvement.
The dashboard shows lead enrichment-specific metrics for your Chaport integration — tasks processed, average handling time, success rates, and escalation frequency. You can track how Chaport-triggered lead enrichment workflows perform over time.
Yes. You can run lead enrichment workflows in test mode using sample Chaport data before activating on live records. This lets you verify every lead enrichment rule works correctly with your Chaport setup before processing real data.
The lead enrichment agent scales automatically as your Chaport activity grows. Whether you process 10 or 10,000 lead enrichment tasks per day from Chaport, the AI handles the volume without slowdowns or additional configuration.
Arahi AI connects to Chaport via one-click OAuth, then runs lead enrichment workflows that read and write Chaport data on a schedule or in response to triggers. You configure the rules once; the agent executes lead enrichment across every relevant Chaport record without developer involvement.
Chaport holds the data; AI supplies the judgment and throughput. Together they turn lead enrichment from a manual, inconsistent process into one that runs at machine speed with a consistent quality bar — freeing your team to focus on the Chaport-adjacent work that genuinely needs human attention.
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