AI Virtual Receptionist
Answer approved business questions, capture why the caller is contacting you, route the conversation, and make human assistance available.
Voice AI Development Services
AI Voice Agents Built Around Your Business Workflow
Digital Sensei designs Voice AI systems that handle real business conversations—connecting telephony, speech recognition, conversational AI, backend workflows, natural voice responses, and human handoff in one operational system.
Live Phone ConversationsAI + Backend ActionsDesigned Human Handoff
More than a voice on the phone
A useful AI phone agent needs to understand who is calling, why they called, what context is available, what it may say or do, and when a person should take over.
The value comes from connecting the conversation to the business process—not simply connecting a model to a phone number.
Production Voice AI may need
- Telephony, audio streaming, and live call-session context
- Speech recognition, conversational AI, and natural voice synthesis
- Approved business knowledge, caller context, and validation rules
- Booking, qualification, routing, and backend API actions
- Human transfer, exception handling, and caller choice
- Logging, structured outcomes, reporting, and post-call processing
Phone automation designed for specific conversations and outcomes.
Each use case needs its own conversation boundaries, business context, permitted actions, exception paths, and handoff rules.
Appointment Booking
Gather requirements, check the defined business workflow, initiate supported booking actions, and confirm the appropriate next step.
Lead Qualification
Ask structured questions, collect relevant context, categorize needs, and route suitable opportunities into the next business step.
Customer & Service Inquiries
Guide callers through approved information, collect the details a team needs, and trigger a defined follow-up workflow.
Call Routing & Human Handoff
Use caller intent and workflow rules to direct calls, escalate exceptions, or transfer when human assistance is appropriate.
Voice Coaching & Training
Create guided conversational practice, scenario-based interactions, coaching workflows, and useful performance feedback within a product.
Voice and conversational systems connected to real product workflows.
HeyLibby is direct Voice AI delivery proof. Synqro.ai shows conversational voice technology integrated into a broader SaaS training, coaching, and reporting experience.
Flagship Voice AI product
HeyLibby
A 24/7 AI voice agent and virtual receptionist built to handle live phone conversations, answer business and service questions, gather caller requirements, support booking and lead qualification workflows, provide multilingual voice workflows, and hand calls to people when appropriate.
Its delivered conversational workflow brings together Twilio Media Streams, OpenAI / ChatGPT, Deepgram speech-to-text, and ElevenLabs text-to-speech around business actions rather than treating speech as a standalone feature.
Twilio • OpenAI • Deepgram • ElevenLabs • Voice Workflows
Conversational training SaaS
Synqro.ai
An AI sales training and enablement SaaS with conversational practice, scenario-based coaching workflows, readiness and performance visibility, and reporting. Retell AI voice integration works within the wider backend, API, and product architecture.
Voice AI • Retell AI • Conversational Training • SaaS • APIs
Phone workflow and product workflow
HeyLibby demonstrates a live AI phone agent across telephony, speech, conversation, action, and handoff. Synqro.ai demonstrates voice conversation as a capability inside a larger SaaS product.
Explore more Digital Sensei case studiesConnect the live call to context, controlled actions, and a useful outcome.
This is an example architecture pattern, not a mandatory provider stack. The exact services and boundaries should follow language, latency, voice quality, integration, cost, and operational requirements.
Phone / telephony
Twilio or a suitable voice platform receives or places the call.
Audio stream & session
Real-time audio and call context enter the conversational workflow.
Speech to text
Deepgram or an appropriate STT service turns speech into usable input.
Conversational AI
OpenAI / ChatGPT or a suitable model interprets context and forms a response.
Business workflow
Node.js or NestJS coordinates APIs, context, validation, rules, booking, qualification, and routing.
Text to speech
ElevenLabs or an appropriate TTS service returns a natural voice response to the caller.
Designed side path: human handoffTransfer can be triggered by workflow rules, uncertainty, caller preference, or the need for human assistance.
The conversation is part of the software workflow.
Good conversational design takes more than a system prompt. It defines what the AI needs to understand, ask, verify, do, and communicate at each stage.
- IntentWhat does the caller need?
- ContextWhat information is available?
- QuestionsWhat needs to be gathered?
- ValidationWhat must be checked?
- ActionWhat may the system do?
- OutcomeAnswer, book, qualify, route, follow up, or hand off
Verified technology exposure across the full conversation path.
These technologies reflect delivered project experience, not formal vendor partnerships or a claim that one provider is universally best.
Twilio & Retell AI
Twilio and Twilio Media Streams support live phone and audio-stream workflows in HeyLibby. Synqro.ai has verified Retell AI integration for conversational training.
Deepgram
Speech-to-text integration turns caller audio into input the conversational system and its application workflow can use.
OpenAI / ChatGPT
Conversation logic can use approved context and defined boundaries while backend code retains control of business actions.
ElevenLabs
Text-to-speech integration converts the system response into a natural voice returned through the call workflow.
Node.js, NestJS & REST APIs
Backend services coordinate context, validation, application rules, integrations, and structured call outcomes.
PostgreSQL & MongoDB
Appropriate data stores can support approved business context, workflow state, reporting inputs, and product requirements.
Provider selection depends on language requirements, latency needs, voice quality, product workflow, integration requirements, cost, and operational constraints.
Turn a conversation into a controlled business action.
Voice AI becomes operationally useful when the call can securely pass structured information into the software where work happens.
Common integration patterns
- Create or update a lead through an approved system interface
- Capture caller requirements as structured data
- Initiate booking, routing, notification, or follow-up workflows
- Query approved business data through controlled APIs
- Record structured call outcomes for downstream teams
- Invoke external APIs with validation and business rules in place
AI when appropriate. Humans when needed.
An AI phone agent should have a clear operating scope and escalation path. It does not need to replace staff or pretend certainty when the conversation belongs with a person.
Designed control
Handoff is part of the workflow
A transfer path can consider an unsupported request, an uncertain system state, a high-value conversation, an exception, or a caller who wants a person. The precise triggers and available transfer options are defined for the solution.
Voice AI does not require rebuilding your product.
A focused voice workflow can be connected to an existing SaaS platform, web application, Node.js or NestJS backend, admin portal, booking system, custom software product, or business system where suitable APIs exist.
Every existing system still needs assessment. Integration can often be incremental: understand the current system → define the voice workflow → specify backend actions → connect and test real calls → deploy and improve.
Related delivery capabilities
- SaaS product development for voice features inside a wider platform
- Custom software development for business-specific workflows
- AI agents and business automation beyond the phone channel
- ChatGPT development for OpenAI-powered application workflows
- MERN stack development for connected web applications and backends
From call workflow to an integrated conversational system.
Each stage keeps the phone experience connected to real callers, business rules, supporting systems, handoff needs, and production constraints.
Discover
Understand callers, objectives, call types, existing systems, constraints, and escalation requirements.
Design the conversation
Define intents, questions, context, actions, outcomes, boundaries, and handoff rules.
Architect
Select telephony, speech, AI, backend, data, and integration components around the workflow.
Build & integrate
Connect call handling, conversational behavior, backend workflows, and external systems.
Test real scenarios
Test expected calls, unclear input, interruptions, failures, escalation paths, and edge cases.
Deploy & evolve
Release the system, observe the workflow, and refine conversations and integrations over time.
Refine the system as real conversations reveal new needs.
Voice AI commonly needs deliberate improvement after launch. Support can be fixed-term, ongoing, or flexible-resource based depending on the product and operating model.
Post-launch support may include
- Conversation-flow, prompt, and context refinement
- Routing and handoff improvements
- New call scenarios and integration changes
- Backend updates and provider changes where appropriate
- Issue troubleshooting, production support, and feature evolution
Voice AI experience backed by end-to-end software delivery.
Voice systems work best when the conversation, phone channel, backend, integrations, human operations, and ongoing product needs are designed together.
Business-workflow understanding
We begin with the caller, business purpose, required information, permitted actions, outcomes, and exceptions.
Real Voice AI product experience
HeyLibby and Synqro.ai provide verified experience across live phone workflows, conversational training, and product integration.
Voice + backend integration
Telephony and AI are connected to APIs, data, validation, routing, booking, qualification, and business rules.
Human-handoff thinking
Transfer, escalation, uncertainty, exception paths, and caller preference are treated as design requirements.
End-to-end product delivery
Senior technical involvement can span discovery, architecture, implementation, QA, deployment, and evolution.
Post-launch partnership
Support can adapt conversations, integrations, backend behavior, providers, and features as operating needs change.
Digital agencies and technology partners can also engage Digital Sensei when additional Voice AI, telephony or conversational-integration capability is required.
Practical questions about AI phone agents and conversational systems.
What is a Voice AI agent?
A Voice AI agent is software that participates in spoken conversations and can connect speech recognition, conversational AI, voice synthesis, business context, backend actions, and human handoff.
Can Digital Sensei build an AI virtual receptionist?
Yes. HeyLibby is verified delivery experience for a 24/7 AI voice agent and virtual receptionist handling business questions, requirement gathering, booking, qualification, multilingual voice workflows, and human handoff.
Can a Voice AI agent answer inbound phone calls?
Yes. An inbound agent can receive calls through a telephony platform, understand speech, use approved business context, respond by voice, trigger supported actions, and transfer when needed.
Can Voice AI make outbound calls?
Suitable telephony systems can technically support outbound calls. The exact use case, calling rules, consent requirements, workflow, and human oversight need to be assessed before implementation.
Can Voice AI book appointments?
Yes, when a supported booking workflow or API is available. The agent can gather requirements, validate the required information, initiate the defined action, and communicate the next step.
Can Voice AI qualify leads?
Yes. A call can gather structured information, ask defined questions, categorize the caller's needs, and route the resulting opportunity into an approved follow-up process.
Can an AI phone agent transfer a call to a human?
Yes. Human handoff can be designed for caller preference, unsupported requests, exceptions, uncertainty, high-value conversations, or any other defined escalation rule.
Does Digital Sensei work with Twilio?
Yes. HeyLibby uses Twilio Media Streams as part of its live AI voice workflow, and Digital Sensei also provides dedicated Twilio contact-center development services.
What is Twilio Media Streams used for?
Twilio Media Streams can stream call audio between Twilio and an application in real time, enabling speech recognition, conversational processing, and generated voice responses within the call flow.
Do you work with Deepgram and ElevenLabs?
Yes. HeyLibby provides verified experience with Deepgram for speech-to-text and ElevenLabs for text-to-speech within a live Voice AI workflow.
Can Voice AI connect to existing APIs or software?
Yes, where the system exposes suitable integration points. Backend APIs can provide approved context and control actions such as data capture, booking, routing, notifications, and follow-up.
Can Voice AI support multiple languages?
Yes, when the selected speech, conversational, and voice services support the required languages and the conversation is designed and tested for them. HeyLibby includes verified multilingual voice workflows.
Can Voice AI be added to an existing SaaS product?
Yes. Synqro.ai demonstrates voice and conversational integration within a wider SaaS workflow. Any existing platform first needs assessment of its APIs, data, permissions, and product architecture.
How do you test Voice AI before production?
Testing covers expected calls as well as unclear speech, interruptions, missing context, invalid data, provider or integration failures, caller requests, escalation, and other relevant edge cases.
Do you provide support after launch?
Yes. Support can include troubleshooting, conversation and context refinement, routing changes, new scenarios, backend and integration updates, provider changes, and continued product evolution.
Have a conversation you want Voice AI to handle?
Share the call workflow, business process, or existing system you want to connect. Digital Sensei can help design the conversation, architecture, integrations, business actions, and handoff path.