AI Agent for Workflow — Built for Cloudlayer
Automate Workflow for teams using Cloudlayer. Arahi AI agents handle the workflow end-to-end — no code, set up in minutes.
Brightlane closed-won. Handoff fired:
Meeting notes
- • Slack: #cs-brightlane channel created · Marco assigned.
- • Notion: project workspace cloned from template.
- • Calendar: kickoff booked Tue Mar 12, 2:00 PM PT (45 min).
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.
Slack: #cs-brightlane channel created · Marco assigned.
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 · Closed-won 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 Handoff · Brightlane · Closed-won $86K.
- Agent2:44 PM
Read the transcript and extracted action items.
- Agent2:30 PM
Triggered by call end event in Granola.
Frequently asked questions
The dashboard shows workflow-specific metrics for your Cloudlayer integration — tasks processed, average handling time, success rates, and escalation frequency. You can track how Cloudlayer-triggered workflow workflows perform over time.
All data exchanged between Cloudlayer and Arahi AI during workflow 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 workflow action.
Yes. The workflow agent connected to Cloudlayer simultaneously interacts with 1,500+ other apps — CRMs, databases, email platforms, and more. A single workflow workflow can pull data from Cloudlayer, process it, and push results to multiple destinations.
When the AI hits an edge case during workflow processing in Cloudlayer, it escalates to your team with full context — the Cloudlayer record, what was attempted, and why it needs review. Your workflow pipeline never stalls or loses data.
Anything that follows repeatable rules — approvals, document routing, multi-system handoffs, scheduled tasks, and the cloudlayer-specific cross-departmental processes that today rely on email follow-ups and tribal knowledge.
No. Workflows are built in a visual no-code builder by your cloudlayer ops or business teams. Most workflows go from idea to live in under a day without any developer involvement.
No coding required. The no-code builder walks you through connecting Cloudlayer and configuring workflow rules visually. Your team can set up, modify, and manage Cloudlayer-based workflow workflows without any developer involvement.
Yes. You can run workflow workflows in test mode using sample Cloudlayer data before activating on live records. This lets you verify every workflow rule works correctly with your Cloudlayer setup before processing real data.
The Cloudlayer integration automates end-to-end workflow — including data capture from Cloudlayer, validation, routing, follow-up actions, and status updates. Every workflow step that touches Cloudlayer can be handled by the AI agent.
The workflow agent scales automatically as your Cloudlayer activity grows. Whether you process 10 or 10,000 workflow tasks per day from Cloudlayer, the AI handles the volume without slowdowns or additional configuration.
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