Smarter Appointment Scheduling for Typeform Teams
Turn Appointment Scheduling into a background job. Arahi AI agents use Typeform to execute on your behalf, 24/7.
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 Typeform
Link Typeform to Arahi AI. New form submissions trigger AI workflows instantly.
Set Up Response Workflows
Define what happens when a Typeform form is submitted — route data, send follow-ups, or update CRM records.
Analyze & Act Automatically
AI processes Typeform responses, identifies trends, and triggers actions. Track response processing time and insights generated.
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
Manual appointment scheduling in Typeform requires constant tab-switching, copy-pasting, and follow-up tracking. Arahi AI eliminates this by handling appointment scheduling tasks in real-time as Typeform events occur — running 24/7 with consistent accuracy and zero fatigue.
Most users connect Typeform 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.
No coding required. The no-code builder walks you through connecting Typeform and configuring appointment scheduling rules visually. Your team can set up, modify, and manage Typeform-based appointment scheduling workflows without any developer involvement.
Yes. You define exactly which Typeform events start appointment scheduling workflows — new records, status changes, messages, or custom triggers. Each trigger can have conditions so appointment scheduling actions only fire when your specific criteria are met in Typeform.
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 typeform. Most typeform operators see no-show rates drop materially in the first month.
Yes. The agent coordinates calendars, rooms, equipment, and staff certifications simultaneously — so a typeform appointment that requires a specific tech, a specific room, and a specific time window only gets booked when all three line up.
Arahi AI connects natively with Typeform to handle the full appointment scheduling workflow. The AI agent monitors Typeform events, processes appointment scheduling tasks automatically, and writes results back to Typeform — no copy-pasting or tab-switching required.
The Typeform integration automates end-to-end appointment scheduling — including data capture from Typeform, validation, routing, follow-up actions, and status updates. Every appointment scheduling step that touches Typeform can be handled by the AI agent.
All data exchanged between Typeform and Arahi AI during appointment scheduling processing is encrypted in transit and at rest. We use OAuth tokens for Typeform access, never store raw credentials, and maintain full audit logs of every appointment scheduling action.
Yes. You can create parallel appointment scheduling workflows that respond to different Typeform events or conditions. For example, one appointment scheduling flow for new Typeform records and another for updated ones — each with independent rules and actions.
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