Chat Support Automation on Textlocal, Powered by AI
Run Chat Support on top of Textlocal 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 Textlocal work for chat support automation?
Textlocal 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 Textlocal 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 Textlocal
Add Textlocal to your Arahi AI workspace in seconds. The AI immediately starts listening for messages and events.
Configure Message Workflows
Choose which Textlocal channels, threads, or DMs trigger AI actions — and what happens next.
Automate & Stay in the Loop
The AI handles routine messages and tasks in Textlocal while escalating anything that needs your attention.
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
Most users connect Textlocal 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.
Manual chat support in Textlocal requires constant tab-switching, copy-pasting, and follow-up tracking. Arahi AI eliminates this by handling chat support tasks in real-time as Textlocal events occur — running 24/7 with consistent accuracy and zero fatigue.
Yes. You can create parallel chat support workflows that respond to different Textlocal events or conditions. For example, one chat support flow for new Textlocal records and another for updated ones — each with independent rules and actions.
All data exchanged between Textlocal and Arahi AI during chat support processing is encrypted in transit and at rest. We use OAuth tokens for Textlocal access, never store raw credentials, and maintain full audit logs of every chat support action.
Yes. The chat support agent connected to Textlocal simultaneously interacts with 1,500+ other apps — CRMs, databases, email platforms, and more. A single chat support workflow can pull data from Textlocal, process it, and push results to multiple destinations.
No coding required. The no-code builder walks you through connecting Textlocal and configuring chat support rules visually. Your team can set up, modify, and manage Textlocal-based chat support workflows without any developer involvement.
The Textlocal integration maintains a persistent real-time connection for chat support automation with automatic retry logic and continuous monitoring. If Textlocal experiences downtime, queued chat support tasks process automatically once connectivity resumes.
Yes. You can run chat support workflows in test mode using sample Textlocal data before activating on live records. This lets you verify every chat support rule works correctly with your Textlocal setup before processing real data.
Arahi AI connects to Textlocal via one-click OAuth, then runs chat support workflows that read and write Textlocal data on a schedule or in response to triggers. You configure the rules once; the agent executes chat support across every relevant Textlocal record without developer involvement.
Textlocal 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 Textlocal-adjacent work that genuinely needs human attention.
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