Qualify inbound callers
Asks the qualifying questions in a fixed order, records the answers against the lead, books the call when the criteria are met, and routes the rest to a person.
These are the call types that repeat the same way every day, which is what makes them safe to automate. Each one is scoped in the audit before it is built, and each one keeps a tested path to a person.
Asks the qualifying questions in a fixed order, records the answers against the lead, books the call when the criteria are met, and routes the rest to a person.
Answers from your approved support content, handles the cases with a documented resolution, and escalates anything outside it with the transcript attached.
Confirms items and quantities against your catalogue, reads the order back for confirmation, and hands payment to your existing processor rather than handling card data itself.
The case for voice automation is not that AI is impressive. It is that three structural costs of phone-based service compound quietly, and none of them are fixed by hiring harder.
Calls outside office hours get answered, qualified, and logged, so the enquiry is waiting as a scored lead rather than a voicemail nobody returns.
Repetitive, rule-bound calls move to the agent so your people take the ones that need judgment. The saving is real, and the audit models it from your own call logs rather than a brochure figure.
Concurrent calls are limited by your telephony plan rather than by headcount, so a volume spike does not become a queue.
Qualifies the caller, writes the outcome back to your CRM, and triggers the follow-up step while the conversation is still recent.
Advanced speech synthesis with natural pacing and interruption handling. Callers are told they are speaking to an automated assistant, because pretending otherwise is a complaint waiting to happen.
Roughly six weeks from signed scope to live calls on one call type. Not minutes, because the escalation rules and edge cases are the work.
Eight capabilities that decide whether a voice agent holds up on a real call, rather than a feature list padded to look longer.
Contextual awareness across the whole call plus live sentiment tracking, so the agent follows a customer who changes subject, hears frustration, and adapts instead of restarting its script.
High-definition synthesis with configurable accent, pace, and speaking style, tuned to your brand rather than shipped as a stock voice.
Native-language handling with culturally aware pronunciation and tone, so an overseas customer is not routed to a queue for being a non-native speaker.
Calls, SMS, email, and chat run off the same agent definition and the same approved knowledge, so the answer does not change depending on how a customer reached you.
Responses draw on order history, prior contacts, and account state pulled live from your systems, not from a static prompt written six months ago.
Intent detection routes to the right department, and any escalation carries the full transcript and context to the human who picks it up. No customer repeats themselves.
Bookings, reminders, verifications, and record updates are written back to your CRM and calendar during the call, with sensitive actions held at an approval gate.
Conversation analytics, CSAT, resolution time, and drop-off points feed a monthly review where scripts and routing get corrected against what actually happened.
The call types differ by sector, and so do the boundaries. Each of these is the workflow set we would scope first, plus the line we will not let an agent cross.
Enquiry qualification, viewing scheduling, listing updates, follow-up sequences. High inbound volume where response speed decides the outcome.
Scheduling support, intake, insurance paperwork, billing admin. Administrative only. No autonomous clinical decisions.
Support triage, order operations, inventory updates, weekly reporting. High-volume operational work across customer and stock systems.
Service booking, parts availability checks, warranty paperwork, test-drive scheduling. Service-desk phone volume. Diagnostics stay with technicians.
Reservation handling, order taking, enquiry response, no-show follow-up. Phone and message volume that outpaces front-of-house capacity.
Admissions enquiries, enrolment paperwork, student support triage, reporting. Administrative and support workflows, not assessment decisions.
Client intake, research, drafting, CRM follow-up, reporting. Document-heavy work with repeated review loops.
Job intake, quote follow-up, scheduling, technician dispatch updates. Dispatch coordination with repeatable exception rules.
Booking assistance, itinerary changes, travel information, disruption follow-up. High enquiry volume with fixed fare and policy rules to work within.
A voice agent does not beat a person on judgment. It beats a person on the four things below, which is why it works for high-volume, rule-bound calls and not for your hardest conversations. Your real numbers get modelled during the audit against your own call logs.
Not five minutes and a sign-up form. A voice agent that touches your customers needs a defined scope, a tested escalation path, and a supervised launch window before it answers a real call.
Which calls the agent takes, which it must transfer, what it is forbidden to promise, and the brand voice it speaks in. Written down and signed off before build.
Numbers, CRM, calendar, and OMS connections built in your accounts, with approval gates in front of anything financial or contractual.
Happy paths, edge cases, accents, interruptions, hostile callers, and hallucination checks. It does not take live calls until it clears the bar you agreed.
A limited production window with transcripts reviewed daily, then monthly optimization against CSAT, containment, and transfer rate under Managed AI Ops.
The agent works against the systems you already run, so call outcomes land in your CRM, calendar, and helpdesk rather than in a separate dashboard nobody opens. The audit confirms which integrations your workflow actually needs before anything is built.

Three situations written out end to end: what the workflow looks like, how we would scope it, and what we would instrument to know whether it worked.
Illustrative scenarios, not client engagements. They show how we scope and instrument this kind of workflow. We publish client results only with written consent and evidence behind them.
Healthcare AdministrationA clinic loses slots to no-shows and cancellations that arrive too late to refill. Reception spends the day on booking calls, and confirmation calls are the first thing dropped when the desk gets busy.
Handle confirmations, reschedules, and cancellations by voice, writing each change straight into the practice management system and offering released slots to the waiting list. Strictly administrative: the agent does not answer clinical questions, assess symptoms, or advise on treatment, and any call heading that way is transferred to staff.
SoftwareInbound leads sit in a queue until a rep works down to them, often hours later. Reps spend their day on first-touch qualification calls that follow the same script, and the CRM record is written up afterwards from memory.
Call the lead within minutes of the form submission, run the agreed qualification questions, and book straight into the rep's calendar when the criteria are met. Everything else is logged with a reason and left for a human. The call outcome is written to the CRM as it happens rather than reconstructed later.
HospitalityA restaurant misses booking calls precisely when it is busiest, and late cancellations leave tables empty on the night. Front of house cannot take calls and run service at the same time.
Take reservations, confirmations, and cancellations by voice against the live table plan, so the agent can only offer what the floor can actually seat. Large groups, private events, and anything involving allergies go to a person, because those need judgement and carry real consequences.
Voice is the most sensitive channel you can automate. Recordings contain payment details, health information, and identifiers that customers never intended to hand to a vendor. These are the controls we design in, and the ones we set with you before launch rather than after an incident.

We do not scope a build from a discovery call. Every engagement begins with the paid AI Workflow Audit, so the system we build is the one your operation demonstrably needs. If Epoches cannot identify a meaningful automation opportunity and you supplied the required access and participation, the audit is free.
A 14-day paid diagnosis that maps your workflows, scores automation opportunities, and returns a ranked roadmap. $2,500 fixed, money-back under the guarantee terms.
A scoped AI employee pod for the workflow that ranked highest. Owner, inputs, outputs, tools, approval gates, exclusions, and success criteria signed off before a line is written.
Managed AI Ops: monitoring, error review, context refresh, prompt tuning, reporting, and the next workflow identified before you need it.
Everything you need to know about AI voice agents, pricing, security, and getting started. Can't find what you're looking for? Contact our support team.
An AI voice agent is a computer program that can talk to consumers like a real person. This technology can listen and answer right away, exactly like a person would, since it uses intelligent speech recognition.
We make it simple. Just inform us of what you need the agent to accomplish, and we will assist you in developing the voice experience according to your brand and customer journey.
Roughly six weeks from the end of the audit for a single well-defined call type. Anyone promising live calls in a few days is skipping the escalation testing and the edge-case suite, and you will find out which ones on a real customer.
We deploy sophisticated voice models that are trained to mimic real speech patterns. The agent hesitates where it needs to, answers emotionally, and maintains the conversation flow to be authentic.
Yes, it has context awareness and is capable of answering multi-step questions. If stuck, it will know when to request additional information or pass the customer on to your staff.
For high-volume, rule-bound calls it is usually materially cheaper, because you pay for talk time rather than shifts and no premium applies at night or on weekends. We will not quote you a saving figure before the audit, though: it depends entirely on your call volume, average handle time, and how many of your calls genuinely need a person. The audit models it against your own call logs.
Audio and transcripts are encrypted in transit and at rest, are never used to train third-party models, and are deleted on a retention schedule you set. Payment details, identifiers, and health information are redacted from stored transcripts, and access to call replay is role-controlled and itself logged. We will document the specific data flow for your deployment before launch.
Absolutely. Our AI voice agent gives you a choice to decide how it sounds and what it says. This will help you maintain your brand tone, be it friendly or professional.
This could happen if the AI agent doesn't know the answer. In that case, the AI system will either ask another question or pass the talk on to a human agent to avoid breaking the flow.
There is no self-serve trial, because a voice agent worth judging has to be grounded in your data and your escalation rules. What we do instead: a free 30-minute call where we walk through one of your real call types end to end, then the $2,500 audit, which is refundable under the guarantee terms if it finds nothing worth building.
You'll have access to real-time dashboards and call reports. You can examine transcripts, identify trends, and continue to refine how the agent responds.