AI Product Development
Voice AI for calls, meetings and voice assistants
Phone calls and meetings hold important information that rarely gets written down properly. We build voice AI that transcribes, summarizes and, where it fits, answers.
The problem
The problem this solves
A lot of business still happens by voice. Customers call to book, ask questions or complain. Sales calls and meetings produce decisions and action items. Field staff would rather speak than type on a small screen. Yet most of that information is lost, summarized from memory or typed up late.
Phones also create a staffing problem. Calls come in at busy times and after hours. Routine calls, such as booking changes, opening hours and order status, take staff away from customers in front of them.
Voice AI combines speech-to-text, language understanding and speech synthesis. The simplest use is transcription and summaries: every call or meeting turned into text, with action items extracted and sent to the right system. A step further is a voice assistant that answers routine calls, books appointments through your calendar and hands the caller to a person when needed.
Voice is less forgiving than text. Latency must be low or conversations feel awkward. Accents, background noise and names are harder to handle. And callers must know they are talking to an automated system. We design voice features with those limits in mind, test them with real recordings and keep a person reachable at all times.
Consent and privacy come first. Callers are told when calls are recorded or handled by AI, recordings are stored securely with clear retention rules, and sensitive details are redacted from transcripts where required. You decide what is kept and for how long.
Related solutions include meeting notes and follow-ups and appointment scheduling.
What you get
What you get
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Speech to text
Accurate transcription of calls, meetings and voice notes, with speaker labels.
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Summaries and action items
Key points, decisions and tasks extracted and sent to your CRM or project tool.
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Voice assistant
An assistant that answers routine calls, books appointments and answers common questions.
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Human handover
Transfer to a person with a summary, whenever the caller asks or the case needs it.
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Language support
Transcription and responses in the languages your customers speak, tested with real recordings.
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System actions
Bookings, reschedules and lookups through your calendar or booking software.
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Consent and redaction
Recording notices, secure storage and removal of sensitive details.
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Call analytics
Call reasons, outcomes and handover rates in one dashboard.
How we build it
How we build it
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1
Choose the use case
Transcription, summaries or a voice assistant, starting with the highest value.
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2
Collect recordings
Real, consented recordings used to test accuracy and flows.
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3
Prototype
Speech and language models compared for accuracy, speed and cost.
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4
Build
Telephony, integrations, handover and dashboards built and tested.
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5
Launch and review
Soft launch with call review, then broader rollout.
AI and people
Where AI helps, where people decide
AI makes the repetitive parts faster. The decisions that shape your product stay with experienced people.
Where AI speeds things up
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Transcribing speech and identifying speakers.
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Summarizing calls and extracting action items.
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Handling routine spoken requests.
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Testing flows against many recorded examples.
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Grouping calls by reason for analysis.
Where people decide
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Which calls an assistant may handle.
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When callers must reach a person.
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How consent and recording notices are given.
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What is stored, redacted and for how long.
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Whether quality is good enough for customers.
Is this right for you?
When this is the right choice
A good fit when
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Many routine calls take staff away from other work.
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Important details from calls and meetings get lost.
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Staff in the field would rather speak than type.
Consider something else when
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Most calls are complex, emotional or sensitive and need a person.
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Call volume is low and staff handle it easily.
Timeline and cost
What affects the timeline and cost
Transcription and summaries for calls or meetings can be ready in a few weeks. A voice assistant that takes bookings needs more testing and usually takes longer, with a careful soft launch.
We do not publish fixed prices because scope drives cost. How we estimate.
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Telephony setup
Connecting to your phone system or a new number adds work.
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Languages and accents
Each language needs testing with real recordings.
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Integrations
Bookings and lookups need connections to your systems.
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Latency needs
Real-time conversation needs faster, sometimes costlier, models.
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Call volume
Speech and model costs scale with minutes processed.
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Compliance
Recording laws and data rules vary by country and industry.
Keep exploring
Related services, solutions and reading
Related services
View all related services- AI Product Development AI agents, knowledge assistants, copilots and document automation built into the way your team already works.
- AI chatbots Website and messaging chatbots that answer common questions well and hand everything else to a person.
- Cross-platform apps One codebase for iOS and Android with React Native or Flutter, so both apps ship together.
- Mobile App Development iOS, Android and cross-platform apps with the backend and APIs they need, taken all the way to the app stores.
- AI agents AI that takes actions in your systems, such as qualifying leads or processing requests, with people checking the results.
- iOS apps Native iPhone and iPad apps that feel at home on Apple devices and pass App Store review.
Solutions
View all solutions- Meeting notes automation Transcribe meetings and calls, summarize decisions and push action items into your CRM or project tool.
- Scheduling automation Let customers book, change and confirm appointments themselves, by web, chat or phone, with reminders that cut no-shows.
- AI support agent An assistant that answers routine questions from your own content, checks orders and hands anything else to a person.
- Feedback analysis Read every review, survey and ticket, group them by theme and sentiment, and show what customers keep asking for.
- AI translation workflows Translate websites, products and support content quickly with AI, a shared glossary and native-speaker review where it matters.
- Internal help desk assistant An assistant in Slack or Teams that answers policy and how-to questions from your handbooks and opens tickets when needed.
Industries
View all industries- Healthcare Patient booking, intake forms, internal knowledge assistants and admin automation for clinics and care providers.
- Home services Booking, dispatch, quotes, invoicing and reviews for plumbers, electricians, cleaners and other home service businesses.
- Hospitality and travel Booking sites, guest messaging, review analysis and multilingual content for hotels, tour operators and travel businesses.
- Vacation rentals Booking websites, owner and guest portals, turnover scheduling and guest messaging for rental operators.
- Education and elearning Course platforms, student portals, content workflows and AI tutoring assistants for schools and training companies.
Case studies
View all case studiesAI models
View all ai models- Speech Speech-to-text and text-to-speech models for transcription, call analysis and voice assistants.
- Deepgram Nova-3 and Flux Deepgram's speech-to-text models: Nova-3 for general transcription in 60+ languages, and Flux for voice agents with built-in end-of-turn detection.
- ElevenLabs Eleven v3 ElevenLabs text-to-speech: the expressive Eleven v3 in 70+ languages, a real-time conversational version, and the low-latency Flash models, with voice cloning.
- GPT Transcribe OpenAI's current speech-to-text model, replacing Whisper and the GPT-4o transcribe models, with streaming and keyword or language hints.
- GPT-4o mini TTS OpenAI's current text-to-speech model for turning text into natural spoken audio, at a low price level.
- Meta Muse Spark Meta's newer proprietary model family, offered through the Meta Model API, with text, image, video and PDF input, tool calling and a 1 million token window.
MCP servers
View all mcp servers- Communication Servers for chat, email, SMS and phone, so AI can read messages, draft replies and send notifications.
- Discord A community MCP server that lets AI read and send Discord messages, react, send direct messages and manage channels through a bot.
- Gmail Google's own Gmail MCP server lets AI search and read threads, manage labels and create drafts. It has no send tool.
- Google Calendar Google's own Calendar MCP server lets AI list calendars and events, create, update and delete events, respond to invites and suggest times.
- Slack Slack's own hosted MCP server lets AI search messages, read channels and threads, look up people, draft or send messages and create canvases.
- Mailchimp Transactional Mailchimp's official MCP server covers Mailchimp Transactional (Mandrill): account status, templates, API help and send diagnostics.
Glossary terms
View all glossary terms- Natural language processing Natural language processing is the field of AI that deals with understanding and generating human language, in text or speech.
- Latency Latency is the delay between a request and its response, such as how long a page takes to start loading or an AI model takes to reply.
- Large language model A large language model, or LLM, is an AI model trained on vast amounts of text that can understand and generate language, and often images and code.
- Artificial intelligence Artificial intelligence is the broad field of building software that performs tasks that normally need human judgment, such as understanding language or images.
- Chatbot A chatbot is software that holds a conversation with people through text or voice, answering questions or completing simple tasks.
- AI copilot An AI copilot is an assistant built into a tool people already use, which suggests, drafts and explains while the person stays in control.
FAQ
Questions about voice AI
Have a question that is not here? Ask us directly.
For routine requests such as bookings, opening hours and order status, yes. Complex or sensitive calls should go to a person, and callers should always be able to ask for one.
Modern speech models are accurate for clear audio, less so with heavy noise, strong accents or unusual names. We test on your recordings before launch.
Yes. We always disclose that the assistant is automated, and recording notices follow the rules where you and your callers are located.
Yes. Summaries and action items can be saved to the right contact or deal automatically. See CRM integration.