Automate Chat Support Across Brevo (formerly Sendinblue) with AI
Purpose-built AI agent for Chat Support — connects to Brevo (formerly Sendinblue) in minutes so your team can stop doing the work by hand.
84 chats handled overnight. Sample resolution:
Customer
“Hey — my Slack agent stopped firing after I rotated the workspace token yesterday. Anything I need to do on my end?”
Agent draft · in your tone
Hi Lara — totally normal, the new token needs a quick re-auth. I've sent a one-click reconnect link to your Arahi inbox; once you tap it the agent will pick up where it left off (no re-training needed).
How does Brevo (formerly Sendinblue) work for chat support automation?
Brevo (formerly Sendinblue) works for chat support 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 Brevo (formerly Sendinblue) alongside the other apps your team already uses, watches for the triggers that matter for chat support, and takes the next step on its own while keeping a complete audit trail for review. AI handles common questions immediately, reducing wait times to zero for routine inquiries. Teams typically see instant around the clock 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 inbound ticket and classify the topic
- 2Pull the customer's plan, history, and SLA
- 3Draft a response in your support team's voice
- 4Resolve directly or hand off with full context
Get started in three steps
Connect Brevo (formerly Sendinblue)
Authorize Brevo (formerly Sendinblue) and Arahi AI syncs your lists, campaigns, and analytics data in minutes.
Build Campaign Automation
Create AI-driven workflows triggered by Brevo (formerly Sendinblue) events — new subscribers, email opens, or campaign milestones.
Optimize & Measure
AI continuously optimizes your Brevo (formerly Sendinblue) campaigns while tracking engagement, conversions, and ROI.
Hi Lara — totally normal, the new token needs a quick re-auth. I've sent a one-click reconnect link to your Arahi inbox; once you tap it the agent will pick up where it left off (no re-training needed).
Customer reports a duplicate charge; refund queued, awaiting confirmation.
Customer asking what's included on the Growth plan vs. Pro.
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.
- Lara Knight9:14 AM
Customer marked the resolution as helpful.
- Agent9:12 AM
Sent reply on ticket #9281.
Reason: Confidence above auto-send threshold; voice match passed; SLA at-risk.
- Agent9:11 AM
Drafted reply in your team's voice.
- Agent9:10 AM
Pulled customer plan, prior tickets, and account context.
- Agent9:09 AM
Triaged #9281 as the matching topic.
Frequently asked questions
Yes. You can run chat support workflows in test mode using sample Brevo (formerly Sendinblue) data before activating on live records. This lets you verify every chat support rule works correctly with your Brevo (formerly Sendinblue) setup before processing real data.
Arahi AI connects natively with Brevo (formerly Sendinblue) to handle the full chat support workflow. The AI agent monitors Brevo (formerly Sendinblue) events, processes chat support tasks automatically, and writes results back to Brevo (formerly Sendinblue) — no copy-pasting or tab-switching required.
The Brevo (formerly Sendinblue) integration automates end-to-end chat support — including data capture from Brevo (formerly Sendinblue), validation, routing, follow-up actions, and status updates. Every chat support step that touches Brevo (formerly Sendinblue) can be handled by the AI agent.
The dashboard shows chat support-specific metrics for your Brevo (formerly Sendinblue) integration — tasks processed, average handling time, success rates, and escalation frequency. You can track how Brevo (formerly Sendinblue)-triggered chat support workflows perform over time.
Yes. The chat support agent connected to Brevo (formerly Sendinblue) simultaneously interacts with 1,500+ other apps — CRMs, databases, email platforms, and more. A single chat support workflow can pull data from Brevo (formerly Sendinblue), process it, and push results to multiple destinations.
Yes. You can create parallel chat support workflows that respond to different Brevo (formerly Sendinblue) events or conditions. For example, one chat support flow for new Brevo (formerly Sendinblue) records and another for updated ones — each with independent rules and actions.
No coding required. The no-code builder walks you through connecting Brevo (formerly Sendinblue) and configuring chat support rules visually. Your team can set up, modify, and manage Brevo (formerly Sendinblue)-based chat support workflows without any developer involvement.
Manual chat support in Brevo (formerly Sendinblue) requires constant tab-switching, copy-pasting, and follow-up tracking. Arahi AI eliminates this by handling chat support tasks in real-time as Brevo (formerly Sendinblue) events occur — running 24/7 with consistent accuracy and zero fatigue.
Arahi AI connects to Brevo (formerly Sendinblue) via one-click OAuth, then runs chat support workflows that read and write Brevo (formerly Sendinblue) data on a schedule or in response to triggers. You configure the rules once; the agent executes chat support across every relevant Brevo (formerly Sendinblue) record without developer involvement.
Brevo (formerly Sendinblue) holds the data; AI supplies the judgment and throughput. Together they turn chat support from a manual, inconsistent process into one that runs at machine speed with a consistent quality bar — freeing your team to focus on the Brevo (formerly Sendinblue)-adjacent work that genuinely needs human attention.
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