AI Agents & Chatbots
AI voice agents that answer your phone line, handle simple calls like bookings and order status, and transfer to a person with a summary when the call needs one.
What you get
Phone calls are still how many customers reach a business when something matters: a booking, an urgent repair, a late delivery. They are also expensive to staff around the clock, and missed calls often turn into lost work.
An AI voice agent answers the phone in a natural voice, understands what the caller wants, and handles the simple, repeatable calls itself: booking or rescheduling appointments, checking an order, taking a message with the right details, answering opening-hours and location questions. When a call is complex, emotional or important, it transfers to a person and passes on what it has learned.
Voice is harder than text, and we are upfront about that. There is a short delay while the agent thinks, strong accents and noisy lines cause misunderstandings, and callers interrupt in ways chat users do not. A good voice agent is designed around those limits: short calls, narrow scope and a fast route to a human. Built that way, it works well for after-hours lines, overflow at peak times and high-volume routine calls. It shares its foundations with our customer support agents, and the same knowledge layer as our internal knowledge assistant.
The problem
For many businesses the phone is both the most valuable channel and the hardest to cover. Calls arrive in bursts. Someone has to answer during lunch, after hours and on weekends. Staff who should be doing skilled work spend their day saying "let me check that for you" about delivery dates and appointment times.
Traditional phone menus ("press 1 for sales") route calls but do not resolve them, and callers hate them. Answering services take messages but cannot check a calendar or look up an order. Voicemail mostly means a call-back the next day, by which time the caller has phoned someone else.
Modern speech recognition, language models and natural-sounding voices make it possible for software to hold a real phone conversation. They do not make it perfect. The useful question is not whether an AI voice agent can replace your receptionist, but which specific calls it can handle well enough that callers are better served than by a voicemail or a 10-minute hold.
What we build
Picks up immediately, greets callers in your business's name, and works out why they are calling in a natural conversation rather than a menu.
Checks live availability in your calendar or booking system, offers slots, confirms the appointment and sends a text confirmation.
Verifies the caller, then reads back order status, delivery windows or account details from your systems.
Collects name, number, address and the issue in a consistent format and logs it to your CRM or helpdesk, instead of a voicemail.
Hands the call to the right person or on-call number, tells them who is calling and why, and logs a written summary.
Applies your rules to decide whether something is urgent, such as a burst pipe versus a dripping tap, and escalates accordingly.
Scenarios
A property manager's agent takes overnight calls from tenants, records the issue and address, decides urgency from your rules, opens a work order and phones the on-call technician for emergencies only.
Callers book, move or cancel appointments. The agent checks the calendar, confirms by text and transfers anything about billing or clinical questions to staff.
Receivers call asking when a delivery will arrive. The agent asks for the reference number, reads the status from your TMS and offers to transfer if there is a problem with the shipment.
When all staff are busy, calls roll over to the agent instead of hold music. It resolves the simple ones and books a call-back for the rest at a time that suits the caller.
Limits and safeguards
We set clear transfer rules: the caller asks for a person, the agent fails to understand twice, the topic is outside scope, the caller sounds distressed, or the call matches an urgent pattern. Transfers are warm where possible, with the agent briefing the staff member before connecting. If nobody is available, it takes a detailed message and promises a realistic call-back time.
We typically use Twilio for telephony and a voice platform such as Vapi or Retell, or a custom pipeline with Deepgram, a language model and a text-to-speech voice when we need more control. The model connects to your systems through the same narrow tools we use for text agents, described under LLM integration. Before launch we run scripted test calls with different voices, accents, background noise and interruptions, then pilot on a limited line or hours, often after-hours first. Every call is recorded and transcribed (with appropriate caller notice) so we can review outcomes weekly. Per-minute costs for telephony, speech and model usage are tracked from day one.
FAQ
They should, and in many places disclosure is legally required, along with notice if calls are recorded. We script a short, friendly introduction that says it is an automated assistant and how to reach a person.
Current voices sound close to human, and conversations flow reasonably well. There is still a brief pause before replies and occasional mishearing, so it will not pass for a person on every call, and it does not need to.
Usually yes. Calls can be forwarded from your current system to the agent at set times or on overflow, or the number can be ported to Twilio. We plan this around your phone provider's options.
Major languages are supported, and English recognition handles most common accents. Accuracy drops with strong accents, poor lines and noisy environments, so we test with recordings that match your callers and design confirmations for the details that matter.
Generally yes. You pay per minute for telephony and speech services in addition to model usage. We estimate running costs from your call volumes and average call length during scoping and monitor them after launch.
When most calls are complex, emotional or high-value, such as complaints, sales negotiations or anything clinical or legal. In those cases a voice agent is better used for overflow and message-taking, or not at all.
Tell us your typical call volume, the most common reasons people phone and when calls go unanswered. We will give you an honest view of which calls suit an AI voice agent and which should stay with your team. Also see our real estate and logistics solutions.
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