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AI Voice Agent

A phone agent that handles one workflow well — measurable, always on, never tired.Pick one phone workflow that costs you time or money: inbound qualification, appointment booking, FAQ deflection, missed-call recovery. We build a voice agent that owns it. Twilio + LLM + your eval rig. Real recordings, scored conversations, monthly performance report. Not a "voice assistant" — a measurable replacement for one specific phone job.

price

from $1,800

timeline

3 weeks

cadence

one-time

scope

One-time / fixed scope

TwilioLLM (GPT-4 / Claude)ElevenLabs / DeepgramCall scoringCRM syncReal-time analytics
// compare the flagship suite

Compare flagship offers

Five engagements. Pick what matches your situation.

See all services
EngagementPriceTimelineModeBest forAction
AI Implementation Consulting
from $1,0002 weeksAuditDon’t know where AI fitsView
AI Agent Development
from $2,6004 weeksBuildRepetitive ops work eating your weekView
AI Voice AgentYou’re here
from $1,8003 weeksBuildMissed inbound calls
AI Lead Engine
from $2,2004 weeksBuildTargeted outreach without spamView
Agent Operations Retainer
from $600/moMonthlyOperateAlready shipped — keep it sharpView
01// why this exists

A voice agent that handles the calls you keep missing.

Inbound calls are still the #1 way customers reach SMBs — and the #1 thing falling through the cracks. We deploy a voice agent that answers, qualifies, books, and hands off cleanly to humans. TCPA-compliant, identifies as AI when asked, never makes outbound cold calls. Wired to your calendar and CRM so every conversation lands somewhere useful.

BYOK

Pay LLM providers direct — no markup on tokens

Eval harness

Regressions caught in CI before they reach production

Spend cap

Hard ceiling you set — no surprise OpenAI invoices

Human-in-loop

Approval queue on every action that touches money or customers

02// how it works

The architecture, end to end.

No black boxes. Here's the actual shape of the system you get — with the guardrails, eval loops, and human approvals where they belong.

Voice Agent flow

Caller dials → voice in/out → reasoning → your CRM and calendar.

contextwhen askedCallerinbound onlyTwilio voicespeech I/OVoice AgentLLM + personaKnowledgeFAQs · pricingIdentifies as AIon requestCalendarbook / rescheduleCRMlog + tag leadHuman handoffwarm transfer
inputcoretooloutputguard
03// listen in

A real call, scripted from a deployment.

No recording, no marketing voice-over. A line-by-line walk-through of how the agent handles a typical inbound — including the moment the caller asks if they're talking to AI.

Voice Agent demo

Sample call — inbound booking

Synthesized for clarity. Real deployments use your business name, hours, and approved scripts.

0:000:28
Transcript1 / 9
  • Agent
    Hi, thanks for calling Riverbend Dental — this is the front desk assistant. How can I help?

Notice line 6 \u2014 if a caller asks “are you a real person?”, the agent identifies as AI and offers a transfer. That guardrail ships on every voice deployment.

// where this fits

Real use cases we ship.

  • 01

    After-hours reception

    Books the appointment, captures the lead, sends a confirmation — while you sleep.

  • 02

    Appointment scheduling

    Two-way calendar sync. Reschedules, cancels, and reminds without staff time.

  • 03

    FAQ deflection

    Hours, pricing, location, scope — answered consistently every single time.

  • 04

    Lead qualification

    Asks the 3-5 questions you’d ask, scores the lead, routes hot ones to a human.

04// what you walk away with

The outcome, not just the output.

  • 01A voice agent owning one specific phone workflow end-to-end
  • 02Call recordings + transcripts + scores you can review
  • 03CRM sync so qualified leads or booked appointments land in your pipeline automatically
  • 04Monthly performance report with conversion + cost-per-call
  • 05Human escalation path when the agent hits its limits
// agent flow

How the agent thinks.

The decision graph behind the engagement. Inputs, branches, and the point where a human stays in the loop.

AI Voice Agent PipelineAn inbound call enters automatic speech recognition, which feeds an LLM intent classifier; the LLM dispatches in parallel to CRM, calendar, and knowledge tool calls, then composes a TTS response back to the caller.Inbound CallPSTN / SIPASRtranscriptionLLM Intentclassify + planCRM Toollookup customerCalendar Toolcheck availabilityKnowledge ToolRAG over docsHandoff Toolescalate to humanComposeresponse textTTSvoice outputtextparallelresultsVOICE → CALLER
// your command center

The dashboard you actually use.

Every flagship engagement ships with a control panel — live activity, eval pass rate, spend cap, and an approval queue you can act on from your phone.

Live · Production

Voice Agent — Reception

Live calls + transcripts + booking outcomes.

Calls / 24h
143
+22% vs last week
Answer rate
100%
no missed calls
Booked
37
26% conversion
Avg call length
2m 14s
−18s
Live activity
last 5 min
  • 8sCaller booked appt for Thu 2pm — logged to CRM as warm lead
  • 1mCaller asked "are you a real person?" — agent identified as AI
  • 3mPricing question — agent quoted from approved FAQ — lead captured
  • 5mComplex billing issue — transferred to Sarah (warm handoff)
  • 7mSpam call detected and dropped — no log entry
  • 9mAfter-hours appt request — booked + confirmation SMS sent
Eval pass rate92%
42 / 44 test cases passed · last run 12m ago
Monthly spend$67 / $300
Auto-pause at cap. Slack alert at 80%.
Awaiting approval0
  • Refund request > $250 — review
  • Outbound email batch — 12 ready
  • 1 more queued
// cost forecast

Estimate your monthly run cost.

Cost estimator

Forecast your monthly voice cost

Includes Twilio carrier fees + LLM. Pay your providers directly with BYOK.

Volume2,000 minutes / mo
20010,000
Base infra
$65 / mo
Hosting · observability · evals
Variable (LLM + tools)
$180 / mo
≈ $0.09 per minutes
Total monthly
$245 / mo
Forecast — actual capped in prod
Recommended monthly cap: $400 — we set this hard ceiling in production. Agent auto-pauses when hit, with a Slack alert at 80%. You raise it only if you want to.
Estimate uses average token costs and observed agent behavior in similar deployments. Final budget is set with you during scoping and enforced with a hard monthly cap. BYOK supported — pay your provider directly, we don't mark up tokens.
05// methodology

How the engagement actually runs.

Concrete phases, concrete artifacts. You always know where we are and what comes next.

  1. Week 1

    Workflow design

    Lock the use case (qualification / booking / FAQ / recovery). Map the conversation flows, edge cases, escalation triggers. Design the knowledge base + integrations.

    Conversation flowKnowledge base specIntegration plan
  2. Week 2

    Build

    Stand up the Twilio number, wire the LLM + TTS, build the workflow logic, integrate the CRM. Internal test calls.

    Voice agent live on test numberCRM sync wiredTest recordings
  3. Week 3

    Tuning + launch

    Calibrate against real-sounding scenarios, build the dashboard, set up monthly reporting. Soft launch with controlled volume, monitor and tune.

    Production voice agentDashboardMonthly report templateSlack channel
// track record

Receipts, not promises.

3 weeks
Median delivery · spec to live calls
$0.10–$0.50
Cost per call · all-in (telco + LLM + TTS)
24/7
Coverage · never misses a call
06// scope

Concrete artifacts you keep — and what we leave out.

Working code, written docs, dashboards your team owns. We also list what this engagement deliberately does not cover, so scope is honest before you sign.

// deliverables
  • Voice agent built on Twilio + LLM with natural-sounding TTS
  • Workflow logic for the chosen use case (qualification / booking / FAQ / recovery)
  • Knowledge base of your business info, hours, services, FAQs
  • CRM sync — qualified calls drop into HubSpot, Salesforce, Pipedrive, GoHighLevel, or sheet of choice
  • Call recording + transcript + scoring pipeline
  • Real-time dashboard: calls handled, qualified rate, average duration, cost-per-call
  • Human escalation flow (warm transfer, callback request, or message capture)
  • Monthly performance report
  • 30 days post-launch tuning + Slack support
// not included
  • Outbound cold calling (we don't build telemarketing bots)
  • Multi-language (single language at launch; add via add-on)
  • Replacing your full phone system (we sit alongside or in front of it)
// add-ons

Extend the engagement.

Multilingual support

+$600

Add 1–2 additional languages with native-quality voice and grammar.

SMS follow-up

+$360

Agent sends a follow-up SMS with confirmation, recap, or next steps after every call.

Call sentiment scoring

+$480

Automated sentiment + intent scoring on every call for QA + coaching.

Sample deliverables

See the artifact, not the marketing.

Real shape, redacted content. Pick a tab to preview what ships.

Sample Audit Report

Twelve-page audit excerpt: scope, methodology, findings ranked by impact, and a prioritized fix list. Redacted.

Sample provided after intro call · ask sage@sageideas.dev

SAMPLE · REDACTED
How we reduce risk

Money-back if you're not happy in week 1

Reset the engagement before momentum builds. No invoices to dispute, no awkward email.

Async-first, weekly demos, no surprises

You see exactly what shipped each week. No status meetings to attend, no reports to chase.

Code is yours from day 1 — no lock-in

Your repo, your infra, your accounts. We work in your stack. You can take the work in-house at any time.

07// questions

Honest answers.

01Will it sound like a robot?
No. We use ElevenLabs / Deepgram for natural-sounding voice, and the agent is scripted to acknowledge it's an AI when asked. Most callers either don't notice or appreciate that it's direct and fast.
02What happens when it can't handle something?
It hands off — warm transfer to a human, callback request, or message capture. Default behavior is escalation, not pretending to know.
03How much does each call cost to run?
Typically $0.10–$0.50 per call depending on length and complexity. Telephony + LLM + TTS combined. We give you a cost-per-call forecast before we build.
04Can it handle Spanish / French / etc?
Yes — multilingual is an add-on. We support any language the underlying LLM and TTS provider support.
05Is this compliant?
We follow TCPA + state-level disclosure rules. The agent identifies as AI when asked. Recording disclosure is built in. We don't build dialers or anything resembling outbound robocalling.
// engage

Ready to scope Voice Agent?

Book a 30-minute discovery call. No pitch deck. We'll either confirm fit and send a proposal, or tell you straight that this isn't the right move.

automation system

From offer to operating system.

AI Voice Agent is presented as a real engagement, not a generic service page: the surface, backend shape, delivery artifacts, and conversion path are all visible before the first call.

Scope Voice Agent

price

from $1,800

timeline

3 weeks

tier

flagship

Living architecture

Scope ⇄ Ship

The page now exposes how the engagement moves from buyer pain to production artifact, then into measurement and next-step routing.

Scope Voice Agent
  1. 01Workflow designLock the use case (qualification / booking / FAQ / recovery). Map the conversation flows, edge cases, escalation triggers. Design the knowledge base + integrations.
  2. 02BuildStand up the Twilio number, wire the LLM + TTS, build the workflow logic, integrate the CRM. Internal test calls.
  3. 03Tuning + launchCalibrate against real-sounding scenarios, build the dashboard, set up monthly reporting. Soft launch with controlled volume, monitor and tune.

Conversion path

  1. 01

    Diagnose

    Confirm the real automation constraint, current surface, and business goal before writing code.

  2. 02

    Design the system

    Turn the offer into screens, data, workflows, ownership boundaries, and a measurable delivery plan.

  3. 03

    Ship the artifact

    Deliver Voice Agent as working code, docs, dashboards, or launch assets your team can actually use.

  4. 04

    Route the next move

    Decide whether the work becomes a one-time delivery, a care plan, or a larger product build.

Proof assets

AI Voice Agent service visual

Asset slot

Service proof visual

Add a real screenshot, deliverable preview, or dashboard capture from a shipped engagement when approved.

pending real proof
Jason Teixeira, founder of Sage Ideas

Verified asset

Founder/operator photo

Real founder photo reinforcing principal-led delivery.

live

Asset slot

Client quote or logo

Add only permissioned testimonials or logos tied to this service category.

pending real proof
livebuild 81e8c8e2026-07-28 06:02Z
// solo studio// no analytics resold// every commit human-reviewed