Agents that hold a real conversation on web chat, SMS, WhatsApp and the phone — qualifying, quoting from your rules, and booking straight into your calendar — then handing the thread to a person the moment it needs one.
The missed inquiry is rarely a marketing problem. It is a coverage problem. A crew is on a roof, a class is running, a showing is halfway through — and the phone rings, or a WhatsApp message lands, or someone fills in a form at 11pm. By the time anyone gets back to them, they have already called the next name on the list.
Conversational agents close that gap by being present at the exact moment intent exists. Not with a canned autoresponder, but with something that can ask the qualifying questions your team would ask, look up whether you serve that zip code, check what is actually open on the calendar, and confirm the appointment before the conversation ends.
The craft here is less about the model and more about the conversation. What does the agent ask first? When does it stop asking and act? What does it say when someone is angry, or vague, or asking for something you do not offer? Those decisions get written down, tested against your real transcripts, and tuned after launch as live conversations reveal what people actually say.
We start from your transcripts, not from a template. What people actually ask, in what order, with what objections — that becomes the flow. Qualification questions are specific to your vertical: a towing dispatch needs vehicle, location and drivability; a real estate inquiry needs timeline, financing status and area; a fitness studio needs goal, schedule and whether they have trained before.
Voice is the least forgiving channel. A one-second pause that reads as thoughtful in chat reads as broken on a call. We build for streaming end to end — recognition, reasoning and speech synthesis overlapping rather than queuing — and we tune barge-in so a caller can interrupt naturally instead of waiting out a sentence.
Voice agents answer overflow, after-hours and missed calls, or take the whole line. Numbers, addresses and spellings get confirmed back to the caller, because a misheard street name is worse than no booking at all.
The same agent brain, adapted per channel. Web chat can carry rich cards and a booking calendar inline. SMS has to be short and cannot assume the thread is visible. WhatsApp allows media and has its own template rules for messages sent outside the response window. We handle each properly rather than pushing identical text to all three.
A conversation that ends without a record is a conversation that never happened. Every thread closes with an outcome written to your CRM: extracted fields, transcript, disposition and next action. Bookings check real availability, respect buffers and travel time, and send confirmations and reminders on the channel the person used.
Escalation is defined in the same breath. Certain phrases, certain sentiment, certain request types, or simple low confidence — each routes to a person immediately, with the full thread attached so nobody has to ask the customer to repeat themselves.
An agent is only as good as the systems it plugs into. If your booking calendar is a spreadsheet, or your pricing lives in someone's head, or your site has no way to capture context, a conversational layer just surfaces the gap faster. That is why this sits inside a wider practice: when your stack cannot support the automation, we build the stack.
It runs the other way too. Instant response is worth nothing without inbound volume, so the growth side of the business exists to generate demand these agents can convert. And agents handle the repetitive work while trained people handle the exceptions, the escalations and the judgment calls — as part of the same system, not a separate department.
Human coverage is priced by the hour you sit waiting, not by the conversation you handle. That is why after-hours and weekend cover gets cut first, and why a busy Tuesday morning still sends people to voicemail.
An agent inverts that. Capacity is not a rota, so a quiet 3am and a twenty-inquiry surge cost roughly the same to serve — and neither one needs anybody to be awake.
We go through recorded calls, chat logs and message threads to find the questions that actually come up, the ones your team dreads, and the point where inquiries usually die.
30-min call · roadmap deliveredFlows, integrations and escalation rules get built together, then run against a set of your own past conversations before a single live customer reaches the agent.
Typically 2–4 weeksLive traffic always surprises. We review escalations and dropped threads weekly at first, tighten the flows, and adjust handoff thresholds as confidence in the agent grows.
Ongoing partnershipThey should, and we build it that way. The agent identifies itself as an automated assistant at the start of the call, in the wording you approve. In practice disclosure costs almost nothing — people care far more about being answered immediately and booked correctly than about who typed the reply.
We build toward sub-second turn-taking, because delay is what makes an automated call feel wrong. That means streaming speech recognition, streaming model output, and a voice synthesis step that starts speaking before the sentence is finished. We measure it per turn and treat a latency regression the same way we treat a broken integration.
It escalates rather than improvises. Each agent has explicit boundaries — pricing outside its list, complaints, safety issues, anything legal — and on hitting one it either transfers the live call to a person or creates a task with the full transcript attached. Uncertainty is a defined path, not a failure mode.
Yes. Conversation logic is written per vertical and can branch on location, service line, time of day and caller history. A caller routed to one region gets that region's hours, pricing rules, availability and escalation contacts, all from the same agent, without maintaining separate scripts that drift apart.
Every time. Transcript, recording where you permit it, extracted fields, outcome and next action are written to the contact record as the conversation ends. Nothing lives only inside a chat tool. That write-back is what makes the agent part of your pipeline instead of a widget beside it.
A focused chat or voice agent typically goes live in two to four weeks. Most of that time is not model work — it is conversation design, integration with your calendar and CRM, and testing against real transcripts. Multi-channel builds across phone, SMS, WhatsApp and web sit at the longer end.
Bring us a week of missed calls and unanswered messages. We'll show you which of them an agent could have handled end to end, and what it would take to build.
Roadmap delivered · whether or not you build with us