AI Agent for Customer Onboarding — Built for Fauna
Automate Customer Onboarding for teams using Fauna. Arahi AI agents handle the workflow end-to-end — no code, set up in minutes.
112 signups onboarded overnight. Sample welcome:
How does Fauna work for customer onboarding automation?
Fauna works for customer onboarding 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 Fauna alongside the other apps your team already uses, watches for the triggers that matter for customer onboarding, and takes the next step on its own while keeping a complete audit trail for review. Guide new customers through setup and activation automatically, significantly reducing time-to-first-value. Teams typically see days → Hours from signup to first win 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 Your Fauna Database
Authorize Fauna with secure credentials. Arahi AI maps your schema and tables automatically.
Configure Data Sync Rules
Define which Fauna records trigger AI actions — new rows, updates, or scheduled queries.
Automate & Validate
AI keeps Fauna data clean, synchronized, and flowing to downstream apps. Monitor sync health in real-time.
Welcome to Arahi — your first agent is half built
I noticed Kindleworks is a 4-person studio, and you signed up from the LinkedIn ad about lead gen agents — so I pre-loaded a lead-qualification template for you.
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 maya@kindleworks.studio.
- 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 new signup this week, have @Fauna send a personalized getting-started
- Agent11:38 AM
Confirmed sender domain DKIM is healthy.
Frequently asked questions
When the AI hits an edge case during customer onboarding processing in Fauna, it escalates to your team with full context — the Fauna record, what was attempted, and why it needs review. Your customer onboarding pipeline never stalls or loses data.
Yes. You define exactly which Fauna events start customer onboarding workflows — new records, status changes, messages, or custom triggers. Each trigger can have conditions so customer onboarding actions only fire when your specific criteria are met in Fauna.
The customer onboarding agent scales automatically as your Fauna activity grows. Whether you process 10 or 10,000 customer onboarding tasks per day from Fauna, the AI handles the volume without slowdowns or additional configuration.
All data exchanged between Fauna and Arahi AI during customer onboarding processing is encrypted in transit and at rest. We use OAuth tokens for Fauna access, never store raw credentials, and maintain full audit logs of every customer onboarding action.
The agent segments new customers by plan, use case, and signup source, then triggers tailored customer onboarding flows — different welcome content, setup steps, and check-in cadence per segment. fauna businesses see materially faster time-to-value with personalized onboarding.
Yes. The agent monitors activation milestones, login patterns, and feature engagement during onboarding — surfacing accounts stalling at known drop-off points to your CS team with recommended interventions.
No coding required. The no-code builder walks you through connecting Fauna and configuring customer onboarding rules visually. Your team can set up, modify, and manage Fauna-based customer onboarding workflows without any developer involvement.
The Fauna integration maintains a persistent real-time connection for customer onboarding automation with automatic retry logic and continuous monitoring. If Fauna experiences downtime, queued customer onboarding tasks process automatically once connectivity resumes.
The Fauna integration automates end-to-end customer onboarding — including data capture from Fauna, validation, routing, follow-up actions, and status updates. Every customer onboarding step that touches Fauna can be handled by the AI agent.
Teams automating customer onboarding through Fauna 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 Fauna-powered customer onboarding automation delivers.
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