Freelance Conversational AI Developers in Belgrade
Freelance Conversational AI Developers in Belgrade
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darko tokanovic
pro
Belgrade, Serbia
AI voice agents that answer calls and book appointments
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AI voice agents that answer calls and book appointments
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I designed and developed a specialized AI phone receptionist for veterinary clinics. The system handles real PSTN and SIP calls through FreeSWITCH. It combines streaming speech recognition, LLM orchestration and low-latency voice synthesis to communicate naturally with pet owners. The agent can answer questions about veterinary services, business hours, location, parking and clinic policies. It can identify the pet owner’s reason for calling, distinguish routine appointment requests from potentially urgent situations, check configured availability and guide the caller through a veterinary visit request. The system includes: • Real US telephone and SIP call handling • Pet-aware reason-for-visit collection • Routine, sick-visit and urgent-request routing • Veterinary service and provider information • Appointment booking, rescheduling and cancellation flows • Email confirmations and owner notifications • Safe escalation for urgent or unresolved situations • Call recordings, transcripts and structured summaries • Appointment status and administrative review • Configurable services, staff, schedules, policies and instructions • Replaceable speech recognition, LLM and voice providers I developed the telephony architecture, real-time conversational pipeline, backend APIs, veterinary call flows, appointment logic, email integration, administration, deployment and real-call testing. The agent does not diagnose animals or replace veterinary judgment. Urgent, uncertain or clinically sensitive requests are handled according to configured escalation rules. This is an independently developed product, not a paid client project.
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I designed and developed Anna Dental AI, a specialized phone receptionist for dental practices. The system answers real PSTN and SIP calls through FreeSWITCH and combines streaming speech recognition, LLM orchestration and low-latency voice synthesis to hold natural telephone conversations. Anna can answer questions about dental services, expected price ranges, business hours, providers and clinic policies. It can identify the requested treatment, match the caller with an appropriate provider, check configured availability and guide the caller through an appointment request. The system also includes: • Real US telephone and SIP call handling • Dental service and provider matching • Price, hours, location and policy questions • Appointment booking, rescheduling and cancellation flows • Email confirmations and appointment management links • Safe escalation for unresolved or sensitive requests • Call recordings, transcripts and structured summaries • Appointment status and administrative review • Configurable services, staff, schedules and agent instructions • Replaceable speech recognition, LLM and voice providers I developed the telephony architecture, real-time voice pipeline, backend APIs, appointment workflows, email integration, web administration, deployment and testing. The agent is designed for administrative communication and scheduling. It does not provide diagnoses or replace professional clinical judgment. This is an independently developed product, not a paid client project.
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I designed and developed a specialized AI phone receptionist for hair and beauty salons. The system answers real telephone calls, explains salon services and prices, identifies the requested treatment, handles appointment requests and sends email confirmations. It uses FreeSWITCH and SIP telephony with streaming speech recognition, LLM orchestration and low-latency voice synthesis. The agent supports natural interruptions and is optimized for telephone-quality audio. I also built business-specific service matching and confirmation logic. During real-call testing, phrases such as “men’s haircut” produced several transcription variants, so the system uses aliases, conversational context and confirmation rules instead of relying on a single raw transcript. The management layer provides call recordings, transcripts, summaries, appointment status and configurable information such as services, staff, prices, opening hours, promotions and agent instructions. My responsibilities included telephony architecture, backend development, AI orchestration, appointment workflows, email integration, administration, deployment and real-call testing. This is an independently developed product, not a paid client project.
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I designed and developed the operating layer behind a family of AI phone receptionists. The voice conversation is only the customer-facing surface. This platform gives business owners and administrators the tools required to understand, control and improve what happens during real telephone calls. The system supports multiple specialized workspaces, including dental practices, veterinary clinics, hair salons and beauty businesses. Each workspace has isolated services, staff, schedules, business information, appointment rules and agent instructions. Key capabilities include: • Centralized call and project overview • Call recordings and complete transcripts • Structured call summaries and extracted caller intent • Appointment status and outcome tracking • Service, staff and schedule administration • Business hours, pricing, promotions and knowledge management • Transfer and escalation configuration • Email confirmations and appointment management links • Voice, web, database and recording health monitoring • Web and React Native administration • Separate business workspaces on one shared architecture I developed the backend APIs, database models, administrative interfaces, authentication, email workflows, monitoring, deployment and integration with the real-time voice services. This project demonstrates that the system is more than an AI voice demo. It includes the operational controls, review workflow and verified action tracking required for real business use. This is an independently developed product, not a paid client project.
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