AI Voice Automation

An AI voice assistant is a voice based system that answers inbound calls, handles common questions, and completes defined tasks like appointment booking or routing. In healthcare, the focus is speed, accuracy, and safe escalation so callers get help quickly and complex situations reach the right human team.

Yes. Booking, rescheduling, and cancellations are supported based on your configured workflows and rules. During onboarding, we define what information is required, what exceptions trigger escalation, and how confirmations are handled.

No. It is designed to reduce repetitive workload, capture after hours demand, and route calls more efficiently so your team can focus on callers who need a human.

When a call needs a human, such as a department transfer, complex request, or escalation trigger, the assistant routes it based on your routing map. Human takeover is used when the flow calls for it, not on every call.

Yes. After hours answering is included, along with callback scheduling for business hours. This helps reduce missed new patient opportunities and improves caller experience.

Yes. We support follow up calls and reminders for confirmations and no show reduction, plus outbound recall and checkup reminder campaigns. Results depend on list quality, outreach rules, and how your team handles rebooking.

Common use cases include new patient inquiries about services and basic availability, directions and parking and clinic policies, FAQs like hours and departments and doctor availability, and routing to the correct team.

Insurance and TPA eligibility handling is not included. We keep scope focused on high confidence call flows and escalate complex insurance matters to humans.

Currently supported languages are English, Punjabi, and Rajasthani. Additional languages may be possible depending on feasibility and requirements.

You own it. LHS does not provide or own the phone number. We integrate the assistant using a third party phone or VoIP number provisioned for you so your organization retains ownership and continuity.

Yes, CRM integration is supported subject to your system capabilities and configuration. The goal is to keep outcomes and context connected to your patient and lead workflow.

Yes. VoIP and telephony integration is supported so the assistant can answer calls, route them correctly, and support operational call flows.

Yes, WhatsApp integration is supported for follow ups where applicable. We align messaging rules and workflows during implementation.

We take a privacy first, compliance aware approach. We aim to minimize PHI handling and keep patient data within client controlled systems wherever possible. Exact requirements depend on your region, systems, and configuration and are reviewed during the audit.

Call recording can be enabled where permitted and configured. Recording laws and consent requirements vary by region, so we treat recording as an optional setting aligned with legal and policy needs.

Monthly reporting typically includes call logs, outcomes summary, recordings where enabled, and monthly audit and optimization notes with next step improvements.

Minimum term is 12 months. Voice automation improves through iteration, tuning scripts, and optimizing routing and escalation based on real call patterns.

The audit maps your current call reality and identifies the best automation path. It typically covers call handling gaps, routing needs, appointment workflows and rules, integration requirements, privacy and compliance considerations, and a rollout plan with recommended success metrics.

Results vary by call volume, operational readiness, and how fast your team responds to escalations. Many organizations see faster speed to answer, fewer missed calls, more completed bookings and reschedules, and better routing efficiency. We define realistic targets during the audit based on your baseline.

Typically no. This is built for clinics, hospitals, diagnostic centres, pharmacies, multi location groups, and MedTech and HealthTech companies with enough call volume and operational complexity to justify automation.