Run Chat Support on Aidaform — AI Agent
Already on Aidaform? Add an Arahi AI agent for Chat Support and save hours every week without writing code.
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 Aidaform
Link Aidaform to Arahi AI. New form submissions trigger AI workflows instantly.
Set Up Response Workflows
Define what happens when a Aidaform form is submitted — route data, send follow-ups, or update CRM records.
Analyze & Act Automatically
AI processes Aidaform responses, identifies trends, and triggers actions. Track response processing time and insights generated.
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 Aidaform integration automates end-to-end chat support — including data capture from Aidaform, validation, routing, follow-up actions, and status updates. Every chat support step that touches Aidaform can be handled by the AI agent.
Yes. You define exactly which Aidaform 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 Aidaform.
When the AI hits an edge case during chat support processing in Aidaform, it escalates to your team with full context — the Aidaform record, what was attempted, and why it needs review. Your chat support pipeline never stalls or loses data.
The chat support agent scales automatically as your Aidaform activity grows. Whether you process 10 or 10,000 chat support tasks per day from Aidaform, the AI handles the volume without slowdowns or additional configuration.
No coding required. The no-code builder walks you through connecting Aidaform and configuring chat support rules visually. Your team can set up, modify, and manage Aidaform-based chat support workflows without any developer involvement.
Yes. You can create parallel chat support workflows that respond to different Aidaform events or conditions. For example, one chat support flow for new Aidaform records and another for updated ones — each with independent rules and actions.
Yes. The chat support agent connected to Aidaform simultaneously interacts with 1,500+ other apps — CRMs, databases, email platforms, and more. A single chat support workflow can pull data from Aidaform, process it, and push results to multiple destinations.
The dashboard shows chat support-specific metrics for your Aidaform integration — tasks processed, average handling time, success rates, and escalation frequency. You can track how Aidaform-triggered chat support workflows perform over time.
Arahi AI connects to Aidaform via one-click OAuth, then runs chat support workflows that read and write Aidaform data on a schedule or in response to triggers. You configure the rules once; the agent executes chat support across every relevant Aidaform record without developer involvement.
Aidaform 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 Aidaform-adjacent work that genuinely needs human attention.
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