Chat Support on Autopilot for Braze Users
Arahi AI automates Chat Support across Braze, cutting repetitive work so your team can focus on higher-value tasks.
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 Braze work for chat support automation?
Braze 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 Braze 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 Braze
Authorize Braze and Arahi AI syncs your lists, campaigns, and analytics data in minutes.
Build Campaign Automation
Create AI-driven workflows triggered by Braze events — new subscribers, email opens, or campaign milestones.
Optimize & Measure
AI continuously optimizes your Braze 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
Arahi AI connects natively with Braze to handle the full chat support workflow. The AI agent monitors Braze events, processes chat support tasks automatically, and writes results back to Braze — no copy-pasting or tab-switching required.
Manual chat support in Braze requires constant tab-switching, copy-pasting, and follow-up tracking. Arahi AI eliminates this by handling chat support tasks in real-time as Braze events occur — running 24/7 with consistent accuracy and zero fatigue.
Yes. You define exactly which Braze events start chat support workflows — new records, status changes, messages, or custom triggers. Each trigger can have conditions so chat support actions only fire when your specific criteria are met in Braze.
All data exchanged between Braze and Arahi AI during chat support processing is encrypted in transit and at rest. We use OAuth tokens for Braze access, never store raw credentials, and maintain full audit logs of every chat support action.
Yes. The chat support agent connected to Braze simultaneously interacts with 1,500+ other apps — CRMs, databases, email platforms, and more. A single chat support workflow can pull data from Braze, process it, and push results to multiple destinations.
Yes. You can create parallel chat support workflows that respond to different Braze events or conditions. For example, one chat support flow for new Braze records and another for updated ones — each with independent rules and actions.
Most users connect Braze and launch their first chat support automation within 10 minutes. The guided wizard handles OAuth authorization, and you configure chat support-specific rules through a visual no-code builder.
The Braze integration maintains a persistent real-time connection for chat support automation with automatic retry logic and continuous monitoring. If Braze experiences downtime, queued chat support tasks process automatically once connectivity resumes.
Arahi AI connects to Braze via one-click OAuth, then runs chat support workflows that read and write Braze data on a schedule or in response to triggers. You configure the rules once; the agent executes chat support across every relevant Braze record without developer involvement.
Braze 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 Braze-adjacent work that genuinely needs human attention.
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