Chat Support Automation on AdRoll, Powered by AI
Run Chat Support on top of AdRoll with an Arahi AI agent. Faster execution, fewer errors, zero manual busywork.
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 AdRoll work for chat support automation?
AdRoll 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 AdRoll 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 AdRoll
Authorize AdRoll and Arahi AI syncs your lists, campaigns, and analytics data in minutes.
Build Campaign Automation
Create AI-driven workflows triggered by AdRoll events — new subscribers, email opens, or campaign milestones.
Optimize & Measure
AI continuously optimizes your AdRoll 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
Teams automating chat support through AdRoll 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 AdRoll-powered chat support automation delivers.
When the AI hits an edge case during chat support processing in AdRoll, it escalates to your team with full context — the AdRoll record, what was attempted, and why it needs review. Your chat support pipeline never stalls or loses data.
Yes. You can create parallel chat support workflows that respond to different AdRoll events or conditions. For example, one chat support flow for new AdRoll records and another for updated ones — each with independent rules and actions.
All data exchanged between AdRoll and Arahi AI during chat support processing is encrypted in transit and at rest. We use OAuth tokens for AdRoll access, never store raw credentials, and maintain full audit logs of every chat support action.
The dashboard shows chat support-specific metrics for your AdRoll integration — tasks processed, average handling time, success rates, and escalation frequency. You can track how AdRoll-triggered chat support workflows perform over time.
Yes. You define exactly which AdRoll 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 AdRoll.
Yes. You can run chat support workflows in test mode using sample AdRoll data before activating on live records. This lets you verify every chat support rule works correctly with your AdRoll setup before processing real data.
Yes. The chat support agent connected to AdRoll simultaneously interacts with 1,500+ other apps — CRMs, databases, email platforms, and more. A single chat support workflow can pull data from AdRoll, process it, and push results to multiple destinations.
Arahi AI connects to AdRoll via one-click OAuth, then runs chat support workflows that read and write AdRoll data on a schedule or in response to triggers. You configure the rules once; the agent executes chat support across every relevant AdRoll record without developer involvement.
AdRoll 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 AdRoll-adjacent work that genuinely needs human attention.
Explore more AI agent solutions
Start automating Chat Support for AdRoll
7-day free trial. Works with the tools you already use.