AI Agent for Chat Support — Built for ADP
Automate Chat Support for teams using ADP. Arahi AI agents handle the workflow end-to-end — no code, set up in minutes.
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).
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 ADP
Link ADP to Arahi AI with secure OAuth. Employee data and HR workflows sync immediately.
Configure HR Automation
Set up triggers for ADP events — new hires, leave requests, reviews — and define the AI-driven responses.
Streamline People Operations
AI handles routine HR tasks in ADP so your team focuses on culture and strategy. Track time saved per process.
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
The ADP integration automates end-to-end chat support — including data capture from ADP, validation, routing, follow-up actions, and status updates. Every chat support step that touches ADP can be handled by the AI agent.
Manual chat support in ADP requires constant tab-switching, copy-pasting, and follow-up tracking. Arahi AI eliminates this by handling chat support tasks in real-time as ADP events occur — running 24/7 with consistent accuracy and zero fatigue.
The chat support agent scales automatically as your ADP activity grows. Whether you process 10 or 10,000 chat support tasks per day from ADP, the AI handles the volume without slowdowns or additional configuration.
When the AI hits an edge case during chat support processing in ADP, it escalates to your team with full context — the ADP record, what was attempted, and why it needs review. Your chat support pipeline never stalls or loses data.
Yes. You define exactly which ADP 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 ADP.
Most users connect ADP 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 ADP integration maintains a persistent real-time connection for chat support automation with automatic retry logic and continuous monitoring. If ADP experiences downtime, queued chat support tasks process automatically once connectivity resumes.
Arahi AI connects natively with ADP to handle the full chat support workflow. The AI agent monitors ADP events, processes chat support tasks automatically, and writes results back to ADP — no copy-pasting or tab-switching required.
Arahi AI connects to ADP via one-click OAuth, then runs chat support workflows that read and write ADP data on a schedule or in response to triggers. You configure the rules once; the agent executes chat support across every relevant ADP record without developer involvement.
ADP 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 ADP-adjacent work that genuinely needs human attention.
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