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We build voice AI agents that speak, listen, and act — handling inbound calls, qualifying leads, booking appointments, and more. 24/7, without a human on the line.
What this means
Old phone systems route calls through menus. Voice AI agents have real conversations — they listen, understand intent, ask follow-up questions, handle interruptions, and complete tasks like booking, qualifying, or resolving.
The business case is straightforward: calls that currently require a human operator — for leads, support, bookings, reminders — can now be handled automatically at any volume, at any hour.
We build production-grade voice agents — not demos. Real conversation flows, real integrations, and proper fallback logic so your callers always have a professional experience.
This page is for voice AI — spoken inbound and outbound calls. Broader LLM features inside a product are covered on LLM Integration & AI Development. Text-based autonomous agents are covered on AI Agent Development. Non-voice workflow automation is covered on AI Workflow Automation.
24/7
always-on call handling without human operators
3–5w
typical voice agent build time
~0s
response time — no hold music, no queue
Problems we solve
Calls that currently require a human operator — for leads, support, bookings, and reminders — can be handled automatically at any hour, within a defined conversation scope.
Old phone systems route calls through menus. Voice AI agents have real conversations — they listen, understand intent, ask follow-up questions, handle interruptions, and complete tasks like booking, qualifying, or resolving.
Inbound agents answer and qualify. Outbound agents follow up, remind, and re-engage. Both run without a human operator on the line — including hours when a call centre is closed.
Voice agents can answer inbound calls, qualify leads, book appointments into your calendar, answer FAQs, route calls, and handle outbound follow-up — triggered by your CRM or a schedule.
Every call is recorded and transcribed automatically. Structured data extracted from calls — lead details, sentiment, outcomes — is pushed to your CRM and other systems.
Services
From conversation design to live deployment. One team, no subcontractors, end to end.
Built using Vapi, ElevenLabs, and Deepgram — natural-sounding agents with proper pacing, interruption handling, and fallback logic for a professional call experience.
Included on all projects
Inbound agents answer and qualify. Outbound agents follow up, remind, and re-engage. Both run 24/7 without a human operator on the line.
Included on all projects
Carefully designed conversation scripts with branch logic, interruption handling, and recovery paths — so calls never feel like talking to a phone tree.
Included on all projects
Leads captured in calls are automatically logged to your CRM. Appointments are booked directly into your calendar in real time during the call.
Included on all projects
Every call is recorded and transcribed automatically. Structured data extracted from calls — lead details, sentiment, outcomes — is pushed to your systems.
Included on all projects
Extensive pre-launch testing across edge cases, accents, and failure scenarios. We don't go live until the agent handles the unexpected gracefully.
Included on all projects
Use cases
These are example use cases for Voice AI — not published client case studies. This site does not currently have a dedicated AI case study.
Every enquiry answered instantly
Qualify · Book · Log · Follow up
Sales Automation — Real Estate
A voice agent that answers all inbound property enquiry calls, qualifies buyers against budget and timeline criteria, and books viewings directly into the agent's calendar — 24 hours a day.
Example use caseConfirm. Reschedule. Update.
Outbound · Calendar sync · Zero admin
Operations Automation — Healthcare
An outbound voice agent that calls patients 24 hours before appointments, confirms attendance, handles reschedule requests, and updates the booking system in real time.
Example use caseSupport that never sleeps
Answer · Resolve · Escalate · Log
Support Automation — SaaS
A voice agent handling tier-1 support calls — account questions, password resets, billing enquiries, and feature guidance — with a defined path to escalate when the request is outside the flow.
Example use caseHow it works
Voice agents fail in production when conversation flows aren't mapped carefully. We do the flow design work upfront — before a single API call is made.
Everything in-house. Conversation design, development, integration, and launch support — all delivered by the Nextelligentia team. One team, kickoff to launch.
We map every conversation path — qualifications questions, objections, FAQs, booking flows, and failure cases — before writing a line of code.
We design the agent's voice, tone, pacing, and persona to match your brand. You approve the script and voice selection before build starts.
CRM, calendar, and any required API connections are built and tested with your real systems — not mocked data.
Full agent build with extensive internal testing across conversation branches, edge cases, and failure scenarios.
We run a controlled pilot with real calls, review recordings together, iterate on the conversation flow, and then open to full volume.
How we build it
Voice agents fail in production when conversation flows are not mapped carefully. The flow work happens before a single API call is made.
We map every conversation path — qualification questions, objections, FAQs, booking flows, and failure cases — then design the agent's voice, tone, pacing, and persona. Conversation scripts include branch logic, interruption handling, and recovery paths so calls do not feel like a phone tree.
Voice platforms already used: Vapi, Bland AI, and Retell AI. Synthesis: ElevenLabs, OpenAI TTS, and Deepgram. Speech recognition: Deepgram, Whisper, and AssemblyAI. CRM: HubSpot, Salesforce, GoHighLevel, or a custom CRM. Calendar: Google Calendar, Calendly, and Cal.com.
When the agent does not understand something, it asks clarifying questions, offers to transfer to a human, or schedules a callback. We test across conversation branches, edge cases, accents, and failure scenarios before going live.
CRM, calendar, and required API connections are built and tested with your real systems. We run a controlled pilot with real calls, review recordings together, iterate on the conversation flow, and then open to full volume. A focused inbound agent typically takes 3–5 weeks; more complex multi-flow systems take 6–10 weeks.
Fit check
We'd rather tell you now than waste 30 minutes on a call.
We're probably right for you if…
We're probably not the right fit if…
Tech stack
Voice Platforms
Voice Synthesis
Speech Recognition
CRM Integrations
Calendar & Booking
Common questions
Answered directly — including when the answer is that we're not the right fit.
Tell us your call volume, your workflow, and what you want automated. We'll tell you whether a voice agent is the right solution and what it will take.