AI voice agents that answer the phone, handle routine calls and know when to transfer.
We build spoken-language agents for inbound calls — scheduling, routing, intake and common questions — tuned for natural turn-taking, interruptions and noisy lines, with consent, call recording rules and human handoff designed in.
- Call flow and script design
- Speech pipeline
- Telephony integration
- Scheduling and system connections
- Consent, recording and disclosure
- Call analytics and review
Where this helps
What we deliver
How it works
- 01
Listen to real calls
We review recordings or call logs to map the most common call types, how callers phrase requests and where calls go wrong today.
- 02
Design the call flows
Flows, confirmations and transfer rules are agreed with the people who answer the phone now.
- 03
Build and voice-test
The agent is built and tested with scripted and unscripted calls, including accents, background noise and interruptions.
- 04
Staged go-live
Start with overflow or after-hours calls, with staff reviewing transcripts, before taking on more of the call volume.
- 05
Tune and extend
Adjust recognition, prompts and flows from real calls, then add new call types one at a time.
Design decisions we make with you
Latency and turn-taking
Callers notice pauses. We choose models and streaming strategies that keep responses quick and let callers interrupt naturally.
What the agent will not do
Emergencies, complaints, payment details and sensitive topics can route directly to a person or a dedicated line.
Transfer design
Warm transfer with context, callback scheduling or message-taking — decided per call type and by staff availability.
Voice and identity
A clear, consistent voice that identifies itself as automated. We do not clone real people's voices without their explicit consent.
Voice versus text
Voice requires different design from chat — shorter turns, spoken confirmations, no links. For text channels see [AI Chatbots](/ai-services/ai-chatbots).
Applications
Related capabilities
- AI ChatbotsText chat assistants for customer support, internal help desks and product experiences, grounded in your knowledge and connected to your systems.
- NLP & Conversational AIThe language layer underneath chat, voice and document systems — understanding, extraction, classification, dialogue management and multilingual support.
- AI IntegrationConnect AI models and assistants to your CRM, ERP, databases, knowledge stores and APIs — with identity, logging and fallbacks that production systems need.
- AI AgentsAgents that take approved actions across your tools, with permissions, review points and monitoring built in.
Questions buyers ask
Yes. We design the agent to disclose that it is automated at the start of the call, and callers can ask for a person at any time.
It transfers to a person with a summary of the call, schedules a callback, or takes a detailed message — whichever you choose for that call type.
Usually. We connect through SIP or cloud telephony providers, and can forward specific numbers or overflow calls to the agent without replacing your system.
Rules vary by jurisdiction. We build in disclosure, consent prompts and retention settings, and recommend you confirm requirements with counsel. See trust and security.
Discuss this capability with an engineer.
Tell us about the workflow or product. We reply with questions, a suggested first step and who would work on it.