Stop managing appointments manually. Let AI handle it.

An IVR plays a recording and waits for a keypress. Desible.ai runs a real two-way conversation, handles follow-up questions, decides what happens next, and updates your TPA system in real time.

Yes. The setup is designed to integrate with your current system through APIs, without replacing your core platform or forcing a data migration.

The workflow can be configured for major Indian languages including Hindi, English, Tamil, Telugu, Kannada, Marathi, Bengali, Gujarati, and Malayalam.

The system retries automatically based on configured rules. If the patient remains unreachable, the case is surfaced as an exception in the dashboard for manual review.

The AI can detect escalation intent and route the case to your ops team with the right context, so agents only handle calls that genuinely need a person.

When a patient requests a new slot, the AI captures the preference, updates the case through the connected system, stops the previous call sequence, and moves the appointment into the next follow-up cycle.

If the visit is delayed, the AI can call the assigned field partner, collect the ETA or delay reason, and update the patient proactively before the issue becomes a complaint.

The workflow is positioned for regulated insurance operations, with secure data handling, auditability, and enterprise controls aligned to these expectations.

You get live visibility into case outcomes like confirmed, rescheduled, no-show, escalated, and closed, along with operational metrics such as retries, completion trends, and feedback capture.

Yes. A pilot is the intended starting point so teams can review real outcomes before expanding to a broader deployment.

The existing sales page positions the implementation path as going live within four weeks, including integration and pilot time.

Pricing is shaped around appointment volumes and expected ROI. The exact structure is best finalized during the discovery conversation once volumes and workflows are clear.