AI voice agents that answer on the first ring
Voice agents that take real calls: answering, qualifying, booking, resolving. Built to respond in about a second, to survive being interrupted, and to hand a caller to a person with the full context when they need one.
- Years of Industry Experience
- 10+
- Global Clients
- 350+
- Projects Delivered
- 420+
- Tech Engineers
- 35+
The calls worth handing over
Start with the call type that repeats. Breadth comes later, if the numbers earn it.
What separates a voice agent from a phone menu
Every vendor demo sounds good. These are the four things that decide whether it holds up on real calls.
What comes with it, and what we decline
Included
- Inbound and outbound calling, or both
- Telephony via your existing number and provider
- Live lookups into your CRM, help desk, calendar and order systems
- Multilingual handling where your callers need it
- Call recording, transcripts and searchable history
- Escalation rules and warm transfer to your team
- Dashboards for containment rate, handle time and cost per call
We will not build
- Voice cloning of a real person's voice
- Cold-call campaigns to purchased lists
- Anything that hides from the caller that it is an AI
Undisclosed AI and cloned voices are a legal problem in a growing number of states, and a trust problem everywhere. Our agents say what they are.
Recorded calls are regulated data
A voice agent records people, often without them thinking about it. That pulls in consent, retention and disclosure rules before it pulls in anything clever.
- Disclosure that the caller is speaking to an AI, by default
- Two-party consent handling for the states that require it
- HIPAA or PCI DSS where the call touches that data
- EU AI Act transparency duties for voice interaction
- Retention windows you set, and deletion that actually deletes
How the build runs
- 01
Listen to your actual calls
We start from recordings or transcripts, not a workshop. Which calls repeat, which ones need a human, and what percentage could genuinely be contained. If that number is small, we say so before you spend anything.
- 02
One call type, in production
The narrowest useful scope, live and taking real calls with a human safety net. A voice agent that handles one call type well beats a broad one that mishandles everything.
- 03
Tune on real transcripts
Every week we read what actually happened, fix the turns that went wrong, and widen the scope only where the numbers support it. Containment and escalation rates are measured, not assumed.
AI We've Actually Shipped
Conversational, agentic and machine learning work running in production. Each card opens the full case study.
AI voice agent questions
What teams ask before putting an AI on their phone line.
Software that answers or places phone calls, understands speech in real time, looks things up in your systems, and completes the task before hanging up. It is different from an IVR phone menu, which only routes, and from a chatbot, which is text. The hard part is not understanding the words; it is doing it fast enough that the conversation still feels like one.
Around a second, end to end, from the caller finishing to the agent starting. Past that, people assume the line has dropped or start talking over it. That target drives the entire architecture: streaming speech recognition, a model fast enough to answer inside the budget, and streamed audio back. We treat it as an engineering constraint rather than something to tune later.
Yes, and it will tell them. Disclosure is required in a growing number of US states and under EU transparency rules, and hiding it destroys trust the first time someone works it out. In practice callers do not mind an AI that resolves the call quickly; they mind one that traps them.
Two costs: the build, which we scope and fix in writing after listening to your calls, and the running cost, which is billed per connected minute across telephony, speech and model usage. We size the running cost against the call volume you actually have so you can compare it to what those calls cost you today, before you commit.
Yes. The agent sits behind your current number and provider, so nothing changes for callers, and it reads and writes to your CRM, help desk and calendar through their APIs. We build into what you already run rather than asking you to move.
Where HIPAA or PCI DSS apply, we build to those requirements: minimum necessary access, encrypted recordings, retention rules you set, and audit logging on every lookup. Under the EU AI Act a voice agent carries transparency obligations, which the disclosure covers. We will tell you plainly which requirements bite on your use case before we build.
It transfers to a person and passes the transcript with it, so the caller does not start again. Escalation triggers are set deliberately, including caller frustration, repeated misunderstanding, and any topic you mark as human-only.
Start with the calls you already get
Bring a week of call volume and what the repeat questions are. Thirty minutes is enough to tell whether a voice agent pays for itself here, and we will say if it does not.