Voice agents that complete workflows, not demos.
Anyone can make a bot that talks. We design and build voice agents that finish the job — qualify the lead, confirm the delivery, chase the payment, book the appointment — wired into your telephony and systems of record, with guardrails you sign off.
The gap between a demo and production is the whole project.
Most voice-AI initiatives die in the pilot. Not because the voice isn't good enough — because nobody engineered the workflow around it. These are the failure modes we're hired to prevent.
Demo-ware
Impressive in a controlled test; lost the first time a caller goes off-script.
Cost · The pilot never earns trust and the project quietly dies.
No system access
The agent talks but can't read the diary, the order status or the account.
Cost · Every call ends with “someone will get back to you” — automation theatre.
Latency kills it
Two-second pauses before every reply.
Cost · Callers talk over the agent, the conversation derails, transfer rates spike.
Unbounded answers
The model improvises pricing, policy and promises.
Cost · One hallucinated discount on a recorded line is a compliance incident.
No escalation design
The bot either never hands off, or hands off everything.
Cost · Frustrated callers on one side; no ROI on the other.
Orphaned transcripts
Calls happen, but nothing lands in the CRM or ticket queue.
Cost · No follow-up, no reporting, no learning loop — the calls may as well not have happened.
One pipeline, inbound or outbound: understand, act, sync, escalate.
Every voice workflow we ship runs this pipeline. Select a stage to see the engineering that makes it production-grade.
Call connects
Inbound rings or outbound dials.
What happens here
- Inbound: SIP/VoIP integration with your existing numbers and IVR replacement where wanted
- Outbound: campaign dialling with consent rules, time-window and frequency caps
- Sub-second first response — the agent answers like a person, not a menu
- Caller identified against your CRM before the first sentence
In practice
An outbound agent works the morning's delivery list: 118 confirmation calls placed between 9:00 and 10:30, each one opening with the customer's name and order.
Strategy first. Then architecture. Then the build.
The voice model is maybe a tenth of the work. The rest is workflow design, integration engineering and guardrails — the part we've productised.
- 01PHASE 1 / STRATEGY
Pick the right workflow
We map your call-driven processes and score them by volume, structure and value. The first agent gets a workflow that's frequent, bounded and measurable — the one that proves the model in weeks, not quarters.
- 02PHASE 2 / ARCHITECTURE
Design flows, integrations, guardrails
Conversation design, system integration contracts, action validation rules, escalation triggers, compliance boundaries. Signed off on paper before the build — including everything the agent must never say or do.
- 03PHASE 3 / BUILD
Build and adversarially test
We build the agent on production telephony, wire the integrations, then attack it: off-script callers, accents, background noise, hostile inputs. It ships when it degrades gracefully, not when the happy path works.
- 04PHASE 4 / LAUNCH
Launch controlled
A bounded slice of traffic first — one campaign, one queue, one time window — with every transcript reviewed. Volume scales as completion and transfer rates hit the targets we set together.
- 05PHASE 5 / OPERATE
Operate and expand
Ongoing transcript QA, prompt and flow tuning, and monthly reporting on completion rate and cost per call. Then the second workflow ships faster than the first — the architecture is already there.
Bounded, auditable, escalation-first.
On a recorded phone line, “the model decided to” is not an acceptable sentence. Control is designed in at every layer.
Bounded behaviour
Approved knowledge, validated actions, hard topic boundaries. Outside the bounds, the agent escalates — it never improvises policy.
Compliance built in
Consent handling, disclosure lines, recording policy, and calling-hours rules implemented as code, not training suggestions.
Full audit trail
Every call: recording, transcript, actions taken and their validation results. Reviewable per call, reportable in aggregate.
Your data stays yours
Conversation data lands in your systems under your retention policy. No training on your calls; DPAs standard.
The engineering that survives contact with real callers.
Production voice is a systems problem: streaming pipelines, telephony integration, state management across interruptions, and validation between the model and your systems of record. This is the stack we bring so you don't build it from scratch.
- Sub-second response latency with streaming STT → reasoning → TTS pipelines
- Barge-in and repair handling — interruptions, corrections, topic switches
- Deterministic action layer: the model proposes, your business rules dispose
- Telephony-grade integration: SIP trunks, existing numbers, IVR replacement, warm transfer
- Observability from day one — every call traced, scored and queryable
A production voice workflow — owned by you.
Not a platform subscription with your logo on it: a working system, its documentation, and the operating rhythm to run it.
Production voice agent
Live on your telephony, executing a defined workflow end to end — inbound, outbound or both.
Integration layer
Contracts into your CRM, calendar, order or ticketing systems, with validated read/write actions.
Guardrail & compliance pack
The documented boundary set: approved knowledge, action rules, escalation triggers, disclosure and retention policy.
Observability & QA
Call tracing, transcript QA workflow, and monthly completion/transfer/cost reporting.
What production voice looks like when it works.
The KPI isn't “calls handled” — it's workflows completed without a human touch, at a cost per call your CFO signs off.
Workflows complete themselves
Confirmations, qualifications, bookings and chases finish inside the call, systems updated.
Hours back, daily
The repetitive call load comes off your team; they keep the conversations that need judgement.
Contact rates jump
Outbound lists get worked completely, at the right times, with disciplined retries.
Systems stay true
Every call leaves a structured record — the CRM reflects reality without anyone typing.
Risk goes down, not up
Scripted disclosures, bounded answers and full audit trails beat ad-hoc human variance.
A repeatable pattern
The second and third workflows reuse the architecture — each one ships faster and cheaper.
Talk to a production voice agent — right now.
The assistant on this site is one of our own voice agents in production. Interrupt it, change your mind mid-sentence, ask it something off-script — then imagine it wired into your telephony, CRM and calendar.
This demo is designed for Elemra and runs in your browser. Client builds are telephony-integrated — on your numbers, systems and guardrails — but the principles are the same.
Common questions about AI voice agents.
High-volume, bounded, measurable ones: appointment confirmations and rescheduling, lead qualification and callback, delivery coordination, payment reminders, first-line support triage, intake screening. In the strategy phase we score your candidates and pick the one with the shortest path to provable ROI.
Three layers: it answers only from an approved knowledge base; every action it proposes is validated against business rules in code before executing; and topic boundaries route anything sensitive — legal, medical, pricing exceptions — straight to escalation. All of it is documented and signed off by you before launch.
Almost always. We integrate at the SIP/VoIP level with your existing numbers and connect CRMs, helpdesks, calendars and order systems through their APIs. The integration inventory is confirmed in the architecture phase before you commit to the build.
Outbound agents are built with consent status checks, calling-hour windows, frequency caps, identification and disclosure lines, and instant opt-out handling as code. We build to your counsel's requirements; the compliance pack documents exactly what the agent does on every call.
Platforms give you the voice; the project is everything around it — workflow design, integrations, validation, escalation, QA. That's the part we build. Where a platform component fits, we'll use one; you're paying for a completed workflow, not a toolkit.
A first workflow typically ships in 4–8 weeks: strategy, architecture sign-off, build, controlled launch. Cost is a build engagement plus a run cost that we model against your current cost per call in the strategy phase — if the per-call economics don't clear, we'll tell you before you spend.
Bring the workflow. We'll bring the numbers.
A 30-minute call: tell us the call-driven process that eats the most hours. We'll sketch the agent pipeline for it, flag the integration and compliance realities, and give you an honest read on cost per completed call. No obligation.