Appointment BookingCheck availability and book calendar slots during calls.Customer ServiceAnswer common questions and escalate complex calls.Lead QualificationCapture caller intent, urgency, budget, and contact details.Human TransferRoute sensitive calls to the right person with context.Multilingual Call HandlingDetect language and respond naturally across supported languages.After-Hours AnsweringKeep booking and support available when the team is offline.

Voice InfrastructureTwilio call handling, media streams, status callbacks, and carrier-grade routing.Speech & VoiceDeepgram, ElevenLabs, Intron, and provider routing for multilingual calls.AI ModelsOpenAI, Gemini, Spring AI, prompt construction, and tool calling.CalendarsGoogle Calendar, Calendly, and custom booking webhooks.Business ToolsHubSpot, Salesforce, Slack, Pipedrive, Notion, and team workflows.Developer ToolsREST APIs, OpenAPI docs, signed webhooks, and tenant tools.

Clinics & HealthcareBook appointments, answer front-desk questions, and escalate sensitive calls.Salons & BeautyHandle booking requests, reschedules, reminders, and service questions.Real EstateQualify buyers, capture property interest, and schedule viewings.Professional ServicesRoute inquiries, book consultations, and collect intake details.EducationAnswer admissions questions, schedule callbacks, and route department inquiries.Local BusinessesNever miss after-hours calls, new leads, or appointment requests.

DocumentationPlatform concepts, setup guides, agent configuration, and deployment notes.API ReferenceREST endpoints, DTOs, OpenAPI docs, and webhook contracts.BlogProduct updates, voice AI patterns, booking automation, and implementation guides.Case StudiesHow teams use Sauti to answer more calls and convert more bookings.FAQsAnswers about compliance, billing, integrations, customization, and support.SecurityTenant isolation, encrypted credentials, signature validation, and operational controls.

Pricing Start pilot

Integrations

AI Models

OpenAI, Gemini, Spring AI, prompt construction, and tool calling.

Book a demo See live operations

Integrations Ready

Prompt contextAgent config + caller history

LLM routerGPT-4o / Gemini / Spring AI

Streaming responseAnswer, tool call, or handoff

check_availabilitybook_slottransfer_to_human

Tool-calling LLMs

Prompt construction

Conversation memory

Connected stack

AI Models decide what the agent should say or do next.

The model receives tenant instructions, structured conversation history, available tools, and call context, then chooses whether to answer, check availability, book, transfer, or end safely.

01Build system prompt

02Send structured history

03Execute selected tools

04Return caller response

Related destinations

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Launch one agent, measure the outcome, then expand the workflow.

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