AI Agent for Appointment Scheduling — Built for Canny
Automate Appointment Scheduling for teams using Canny. Arahi AI agents handle the workflow end-to-end — no code, set up in minutes.
14 invites sent. Notes synced to the deal record:
Meeting notes
- • Confirmed: Tue Mar 11, 2:30 PM PT — 30 min discovery.
- • Attendees: Sam Okafor (VP Ops), Priya Shah (Arahi).
- • Agenda emailed; Calendar invite + Zoom link sent.
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 meeting transcript end-to-end
- 2Extract decisions, commitments, and next steps
- 3Update the deal record and advance the stage if criteria met
- 4Notify the right teammate with the relevant context
Get started in three steps
Connect Canny
Authorize Canny and Arahi AI immediately starts monitoring incoming tickets and support events.
Configure Ticket Workflows
Set up AI triage rules — classify tickets by type, assign priority, and route to the right agent in Canny.
Resolve Faster & Track Results
AI handles routine tickets and drafts responses in Canny. Monitor resolution times and satisfaction scores live.
Confirmed: Tue Mar 11, 2:30 PM PT — 30 min discovery.
Action items extracted; assignees notified in Slack.
Three deals moved to next stage; risks flagged for the AE.
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.
- Agent2:47 PM
Updated Salesforce · Activities with the meeting outcome.
- Agent2:46 PM
Advanced deal stage; the criteria for Proposal were met.
Reason: Budget confirmed and decision-maker identified per stage definition.
- Agent2:45 PM
Wrote meeting notes for Beacongrid · Discovery (booked).
- Agent2:44 PM
Read the transcript and extracted action items.
- Agent2:30 PM
Triggered by call end event in Granola.
Frequently asked questions
The Canny integration automates end-to-end appointment scheduling — including data capture from Canny, validation, routing, follow-up actions, and status updates. Every appointment scheduling step that touches Canny can be handled by the AI agent.
All data exchanged between Canny and Arahi AI during appointment scheduling processing is encrypted in transit and at rest. We use OAuth tokens for Canny access, never store raw credentials, and maintain full audit logs of every appointment scheduling action.
Yes. You can run appointment scheduling workflows in test mode using sample Canny data before activating on live records. This lets you verify every appointment scheduling rule works correctly with your Canny setup before processing real data.
When the AI hits an edge case during appointment scheduling processing in Canny, it escalates to your team with full context — the Canny record, what was attempted, and why it needs review. Your appointment scheduling pipeline never stalls or loses data.
The agent sends opt-in confirmation, multi-channel reminders (SMS + email), and easy reschedule options on the cadence that drives the highest show-rate for canny. Most canny operators see no-show rates drop materially in the first month.
Yes. The agent coordinates calendars, rooms, equipment, and staff certifications simultaneously — so a canny appointment that requires a specific tech, a specific room, and a specific time window only gets booked when all three line up.
Teams automating appointment scheduling through Canny typically save 10-20 hours per week on manual processing. The ROI dashboard tracks time saved, tasks completed, and error reduction so you can quantify exactly what Canny-powered appointment scheduling automation delivers.
No coding required. The no-code builder walks you through connecting Canny and configuring appointment scheduling rules visually. Your team can set up, modify, and manage Canny-based appointment scheduling workflows without any developer involvement.
The Canny integration maintains a persistent real-time connection for appointment scheduling automation with automatic retry logic and continuous monitoring. If Canny experiences downtime, queued appointment scheduling tasks process automatically once connectivity resumes.
Most users connect Canny and launch their first appointment scheduling automation within 10 minutes. The guided wizard handles OAuth authorization, and you configure appointment scheduling-specific rules through a visual no-code builder.
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