Lead Enrichment on Autopilot for Cloudlayer Users
Arahi AI automates Lead Enrichment across Cloudlayer, cutting repetitive work so your team can focus on higher-value tasks.
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 Cloudlayer
Link Cloudlayer to Arahi AI in one click. Your tasks, projects, and documents sync automatically.
Set Up Workspace Automation
Define triggers in Cloudlayer — new tasks, status changes, due dates — and the AI actions that follow.
Work Smarter, Not Harder
Your AI agent keeps Cloudlayer organized while you focus on execution. Track productivity gains on your dashboard.
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
Arahi AI connects natively with Cloudlayer to handle the full lead enrichment workflow. The AI agent monitors Cloudlayer events, processes lead enrichment tasks automatically, and writes results back to Cloudlayer — no copy-pasting or tab-switching required.
The Cloudlayer integration automates end-to-end lead enrichment — including data capture from Cloudlayer, validation, routing, follow-up actions, and status updates. Every lead enrichment step that touches Cloudlayer can be handled by the AI agent.
Yes. You can create parallel lead enrichment workflows that respond to different Cloudlayer events or conditions. For example, one lead enrichment flow for new Cloudlayer records and another for updated ones — each with independent rules and actions.
Yes. You define exactly which Cloudlayer 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 Cloudlayer.
Manual lead enrichment in Cloudlayer requires constant tab-switching, copy-pasting, and follow-up tracking. Arahi AI eliminates this by handling lead enrichment tasks in real-time as Cloudlayer events occur — running 24/7 with consistent accuracy and zero fatigue.
Yes. The lead enrichment agent connected to Cloudlayer simultaneously interacts with 1,500+ other apps — CRMs, databases, email platforms, and more. A single lead enrichment workflow can pull data from Cloudlayer, process it, and push results to multiple destinations.
All data exchanged between Cloudlayer and Arahi AI during lead enrichment processing is encrypted in transit and at rest. We use OAuth tokens for Cloudlayer access, never store raw credentials, and maintain full audit logs of every lead enrichment action.
Yes. You can run lead enrichment workflows in test mode using sample Cloudlayer data before activating on live records. This lets you verify every lead enrichment rule works correctly with your Cloudlayer setup before processing real data.
Arahi AI connects to Cloudlayer via one-click OAuth, then runs lead enrichment workflows that read and write Cloudlayer data on a schedule or in response to triggers. You configure the rules once; the agent executes lead enrichment across every relevant Cloudlayer record without developer involvement.
Cloudlayer 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 Cloudlayer-adjacent work that genuinely needs human attention.
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