Production AI phone agents that answer, qualify, book, and follow up around the clock for inbound, plus consent-based, TCPA-compliant outbound follow-up. We build them, manage them, and run them for mid-market and enterprise teams.
We build AI voice agents that are designed to answer calls, qualify the caller, book the appointment, and follow up, day or night, inbound and outbound. They run on our AI stack, wired into your CRM and calendar, with guardrails and clean human handoff. We design it, build it, and operate it, so more calls get answered around the clock instead of going to voicemail. This is production work for mid-market and enterprise teams, not a chatbot demo.
AI voice and phone agents are software systems that hold real spoken conversations over the phone, handling inbound and outbound calls to answer questions, qualify callers, book appointments, and follow up automatically, around the clock. They combine speech recognition, a large language model, and text-to-speech so a caller can talk to them the way they'd talk to a human rep.
A telephony layer connects the agent to your phone number; incoming or outgoing speech is transcribed to text, a language model interprets intent and decides what to say next against your scripts, business rules, and knowledge base, then a voice engine speaks the reply, all in near real time. The agent connects to your calendar, CRM, and other tools so it can look up records, book slots, log call outcomes, and hand off or transfer to a person when a call needs one.
For mid-market and enterprise teams that get more calls than staff can answer, or that run high-volume outbound follow-up, the fitting outcome is coverage and speed: no missed calls after hours, faster response to inbound leads, more qualified appointments booked, and human reps freed from repetitive calls, without adding headcount for every added line.
A home-services company points its main line to an AI phone agent. After hours, it answers, asks what the caller needs, checks the service area, and books the next open slot straight into the calendar, then texts a confirmation.
For daytime overflow, it catches calls that would otherwise ring out and hands genuinely complex ones to a live dispatcher with the details already captured.
See if AI Voice & Phone Agents is the right move for your team.
Request a free quoteIllustrative example, styled to show the kind of output we deliver.
Agents and automations we’ve built to capture demand and take work off people’s plates.
Result Captured after-hours bookings that previously went unanswered and freed staff for live calls.
Result Cut routine turnaround time and shifted the team to higher-value work.
Examples are anonymized to honor client NDAs and edited to illustrate typical scope, outcomes vary by market, budget, and starting point.
Results come from a real-time speech loop wired to your live systems: we tune the streaming STT to LLM to TTS pipeline for natural turn-taking and target sub-second responses on simple turns, with longer pauses when the agent is doing a live lookup or a complex action, and every booking, lookup, and follow-up is a tool call against your calendar and CRM rather than a scripted guess. What makes it production-grade is that the handoff and consent-capture rules live in code, not in a hopeful prompt.
A phone call is a hard real-time problem: humans read the half-second of silence and start talking, so latency and turn-taking, not raw intelligence, largely decide whether a call feels human or gets hung up on. Grounding every commitment in a live tool call is what separates a booking that actually exists from a plausible-sounding hallucination, and putting consent, DNC, and calling-hours in code rather than in a prompt is what gives you a consistent, auditable record instead of leaving those obligations to a model's discretion across thousands of calls, which is a far weaker footing for the compliance review that ultimately rests with you.
We build on current low-latency voice stacks with natural turn-taking and barge-in, so callers can interrupt and the agent responds in real time instead of talking over them. For anything outside its defined scope, we set explicit guardrails and a warm handoff that transfers the live call to a human with the context already gathered. For example, a pricing edge case or an upset customer can be routed straight to your on-call rep rather than the agent guessing. We tune the voice, pacing, and fallback rules during testing before it ever takes a real call.
The agent is only useful if it writes to the tools you already run, so we integrate with your calendar, CRM, and phone system rather than creating a separate silo. We commonly wire into Salesforce, Google Calendar or Outlook, and scheduling and telephony platforms via their APIs, plus webhooks for anything custom. For example, an inbound caller can be qualified, booked into an open slot, and logged as a CRM activity with a recording and transcript attached, all on the same call. Outbound follow-ups can fire automatically off a CRM status change or a missed appointment.
A focused single-use-case agent, such as inbound booking or lead qualification, typically goes from kickoff to live in a few weeks, while multi-flow or multi-integration builds take longer. We start by mapping your actual call scenarios and scripts, build the conversation flows and integrations, then run a testing phase where we call the agent ourselves and refine handling before pointing real traffic at it. We usually launch on a subset of calls or a single number first so you can hear it in production with low risk. Nothing goes fully live until you have signed off on real recorded calls.
We separate the one-time build and configuration from the ongoing run cost, so you can see each clearly. Ongoing usage includes the voice and language model minutes, telephony, and transcription, which are typically billed per minute and scale with call volume, and these third-party costs are usually billed to your own provider accounts so you keep direct visibility and control. On top of that we offer a management retainer where we monitor calls, tune prompts, and adjust flows as your business changes. We will model expected monthly usage with you up front so there are no surprises once volume ramps.
We help configure call recording, transcripts, and the disclosures your situation requires, including identifying the agent as automated where that is expected or legally appropriate. For outbound, we set up calling-hour rules, do-not-call handling, and consent requirements as hard rules in the flow rather than leaving them to chance. Recordings and transcripts land in your CRM or storage so your team has a full audit trail. Because compliance varies by jurisdiction and use case, we align the exact disclosure and consent language with your policies and applicable legal guidance before launch, and final compliance should be reviewed with your counsel.