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PrototypeInternal prototype concept

Voice Booking Agent: realtime AI calling prototype

Voice Booking Agent is a Svorus prototype concept for realtime AI calling with slot extraction, calendar and CRM tools, transcript review, and human handoff controls.

Client label

Svorus Lab

Voice Booking Agent: realtime AI calling prototype

Challenge

Voice automation is valuable only when it feels responsive and knows when to stop. Booking and qualification calls need low latency, accurate state, tool boundaries, escalation rules, and human review rather than an unconstrained voice bot.

Approach

The prototype concept proposes a realtime voice stack with audio transport, transcription, LLM reasoning, tool calls, calendar and CRM adapters, handoff policy, conversation evaluation, and a review dashboard for transcripts and outcomes.

Technical profile

Architecture, capabilities, and implementation surface

Platforms

  • Realtime voice agent
  • Scheduling and CRM API
  • Call review dashboard
  • Human handoff workflow

Technology

  • LiveKit Agents
  • OpenAI Realtime API
  • Twilio
  • FastAPI
  • PostgreSQL
  • Redis
  • WebRTC
  • OpenTelemetry
  • Next.js

Key features

  • Inbound and outbound voice flow for appointment booking or lead qualification
  • Realtime speech loop with transcript, intent, slots, and next-action state
  • Calendar lookup, booking, rescheduling, CRM update, and follow-up message tool calls
  • Escalation rules for sensitive questions, low confidence, unavailable slots, and user frustration
  • Call review dashboard with transcript, outcome, tool calls, handoffs, and improvement notes

AI capabilities

  • Low-latency speech-to-speech or speech-to-text-to-LLM-to-speech interaction
  • Slot extraction for dates, services, contact details, preferences, and qualification answers
  • Tool-calling orchestration for calendar, CRM, notification, and knowledge lookups
  • Human handoff summarization with call state and recommended next step
  • Evaluation of conversation completion, interruption handling, latency, and escalation quality

Architecture highlights

  • Voice runtime separates audio transport, transcript state, LLM reasoning, tool adapters, and handoff decisions
  • Conversation state tracks extracted slots, unresolved questions, available appointments, and consent-sensitive fields
  • Operations dashboard stores transcript, model turns, tool calls, user outcome, latency, cost, and reviewer labels
  • Calendar and CRM integrations are isolated behind narrow service adapters and approval policy
  • Failover path sends users to a human queue when confidence, compliance, or system health gates fail

Engineering challenges

  • Keeping voice latency low enough for natural turn-taking
  • Preventing incorrect bookings or CRM updates when intent or slot extraction is uncertain
  • Handling interruptions, noisy audio, accents, and partial corrections without losing state
  • Designing consent, recording, retention, and handoff boundaries for voice interactions

References

Research and project links

LiveKit Agents documentationOpenAI Realtime API docs

Results

What this entry is meant to prove

Prototype

lab-ready concept for voice AI validation

Realtime

voice loop, slot extraction, tool calls, calendar state, and human handoff

Auditable

transcripts, outcomes, tool traces, latency, and reviewer feedback

Services involved

Capabilities behind this work

Agentic AI and Applied AI EngineeringProduction AI agents that plan, use tools, and act with evaluation, logging, and human oversight.Selected capabilitiesAgent design and orchestrationRetrieval and knowledge systemsEvaluation and guardrailsExplore serviceProduct Engineering and Custom SoftwareWeb, mobile, and platform engineering from discovery through production with one accountable team.Selected capabilitiesProduct strategy and discoveryWeb application engineeringMobile engineeringExplore serviceCloud, DevOps and Platform EngineeringCloud migration, CI/CD, observability, reliability, and platform foundations built for on-call reality.Selected capabilitiesCloud migration and modernizationCI/CD and DevOps automationSite reliability engineering and observabilityExplore serviceData Engineering and AnalyticsTrusted pipelines, data platforms, BI, and MLOps foundations for products, dashboards, and AI agents.Selected capabilitiesData pipeline and integrationData platform modernizationAnalytics and BIExplore serviceManaged Services and SupportApplication, cloud, and AgentOps support from the team that understands what was built and why.Selected capabilitiesApplication managed servicesCloud infrastructure managementAgentOps monitoringExplore service

Industry context

Market connected to this work

SaaS and Digital-Native StartupsProduct, platform, AI, and data engineering for teams that need velocity with discipline.

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