Run Chat Support on Cobalt — AI Agent
Already on Cobalt? 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).
How does Cobalt work for chat support automation?
Cobalt 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 Cobalt 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
Link Your Cobalt Store
Connect Cobalt in one click. Arahi AI imports your products, orders, and customer data automatically.
Define E-Commerce Workflows
Set up automation for orders, abandoned carts, inventory alerts, and customer communication in Cobalt.
Grow Revenue on Autopilot
AI handles the operational work inside Cobalt while you focus on strategy. Track recovered revenue and cost savings live.
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
No coding required. The no-code builder walks you through connecting Cobalt and configuring chat support rules visually. Your team can set up, modify, and manage Cobalt-based chat support workflows without any developer involvement.
Yes. You define exactly which Cobalt 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 Cobalt.
Yes. The chat support agent connected to Cobalt simultaneously interacts with 1,500+ other apps — CRMs, databases, email platforms, and more. A single chat support workflow can pull data from Cobalt, process it, and push results to multiple destinations.
When the AI hits an edge case during chat support processing in Cobalt, it escalates to your team with full context — the Cobalt record, what was attempted, and why it needs review. Your chat support pipeline never stalls or loses data.
The Cobalt integration automates end-to-end chat support — including data capture from Cobalt, validation, routing, follow-up actions, and status updates. Every chat support step that touches Cobalt can be handled by the AI agent.
Yes. You can create parallel chat support workflows that respond to different Cobalt events or conditions. For example, one chat support flow for new Cobalt records and another for updated ones — each with independent rules and actions.
The chat support agent scales automatically as your Cobalt activity grows. Whether you process 10 or 10,000 chat support tasks per day from Cobalt, the AI handles the volume without slowdowns or additional configuration.
Most users connect Cobalt 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.
Arahi AI connects to Cobalt via one-click OAuth, then runs chat support workflows that read and write Cobalt data on a schedule or in response to triggers. You configure the rules once; the agent executes chat support across every relevant Cobalt record without developer involvement.
Cobalt 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 Cobalt-adjacent work that genuinely needs human attention.
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