Chat Support on Autopilot for Heroku Users
Arahi AI automates Chat Support across Heroku, cutting repetitive work so your team can focus on higher-value tasks.
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 Heroku work for chat support automation?
Heroku 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 Heroku 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 Heroku
Authorize Heroku and Arahi AI starts monitoring your infrastructure events and metrics.
Define Ops Automation Rules
Set up triggers for Heroku alerts — resource usage, security events, or deployment changes — and AI response actions.
Automate Ops & Stay Secure
AI handles routine operations in Heroku while flagging critical issues. Track incidents resolved and downtime prevented.
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
Yes. You can run chat support workflows in test mode using sample Heroku data before activating on live records. This lets you verify every chat support rule works correctly with your Heroku setup before processing real data.
Yes. You can create parallel chat support workflows that respond to different Heroku events or conditions. For example, one chat support flow for new Heroku records and another for updated ones — each with independent rules and actions.
The chat support agent scales automatically as your Heroku activity grows. Whether you process 10 or 10,000 chat support tasks per day from Heroku, the AI handles the volume without slowdowns or additional configuration.
Manual chat support in Heroku requires constant tab-switching, copy-pasting, and follow-up tracking. Arahi AI eliminates this by handling chat support tasks in real-time as Heroku events occur — running 24/7 with consistent accuracy and zero fatigue.
Most users connect Heroku 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.
No coding required. The no-code builder walks you through connecting Heroku and configuring chat support rules visually. Your team can set up, modify, and manage Heroku-based chat support workflows without any developer involvement.
The Heroku integration maintains a persistent real-time connection for chat support automation with automatic retry logic and continuous monitoring. If Heroku experiences downtime, queued chat support tasks process automatically once connectivity resumes.
The dashboard shows chat support-specific metrics for your Heroku integration — tasks processed, average handling time, success rates, and escalation frequency. You can track how Heroku-triggered chat support workflows perform over time.
Arahi AI connects to Heroku via one-click OAuth, then runs chat support workflows that read and write Heroku data on a schedule or in response to triggers. You configure the rules once; the agent executes chat support across every relevant Heroku record without developer involvement.
Heroku 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 Heroku-adjacent work that genuinely needs human attention.
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