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Solutions · AI Voice Agents
AI Voice Agents · inbound + outbound

AI voice agents that handle real conversations — inbound, outbound, and recovery

AI voice agents have crossed the threshold from novelty to production. Built on Vapi or Retell with GPT-4o, Claude, or Gemini brains and ElevenLabs voices, they hold real two-way conversations with sub-2-second latency. We deploy them for inbound reception, outbound prospecting, no-show recovery, and any use case where calls scale faster than humans can.

<2s
response latency
−85%
cost vs human caller
24/7
always available
voice.dgcore — Live AI call
LIVE
▸ Inbound · Vapi · GPT-4o · ElevenLabs voice
AIHi, this is Aria from digicore101 — what brought you in today?
Avg latency
1.4s
Conversation cost
$0.42
Certified on the platforms you already use80+ builds shipped
GoHighLevel
HubSpot
n8n
Make.com
Zapier
Klaviyo
Airtable
▸ Our verdict on AI Voice Agents

Voice agents work cleanly in narrow conditions: clear conversational scope (2–4 questions to qualify, book, or escalate), proper compliance handling, and topic-based escalation rules so the agent does not get caught in scenarios it cannot resolve. Done right, they convert at parity with senior human callers at <10% the cost. Done wrong, they damage your brand. We will not deploy without compliance handling in place.

What we deliver

What our voice agent engagements cover

Standard scope. Custom scope available on the audit.

Inbound voice agent

Picks up under 2 rings 24/7. Conversational qualification. Books to live calendar or routes via SMS to founder for high-priority callers.

📤

Outbound voice agent

200–500 conversations per day on a target list. TCPA-compliant, DNC-scrubbed. Books or escalates live to closer.

No-show + ghost recovery

AI calls scheduled-but-missed appointments within 5 min. Calls ghosted leads at intervals. Recovers 25–40% of would-be lost contacts.

CRM + transcript logging

Every call transcribed, sentiment-tagged, intent-categorized, written to CRM with next-action recommendation. Searchable across the whole history.

Engagement model

From audit to live Voice Agent build in 4 steps

Same engagement shape as every digicore101 build. Predictable timeline, predictable cost, no scope creep.

017 days

AI Audit

60-min strategy session, stack map, leak analysis, costed roadmap. Vendor-neutral — yours to keep.

  • ·Architecture diagram
  • ·Build sequence
  • ·Cost + timeline lock
025–10 days

Architecture

Voice Agent schema, automations on paper, integration map, AI agent personas.

  • ·Approved schema
  • ·Sign-off on flows
  • ·Migration plan if applicable
032–6 weeks

Build & Deploy

Weekly demos, staged rollout, full handoff documentation. You own everything.

  • ·Live system
  • ·Loom walkthroughs
  • ·Team training session
04Ongoing

Train & Support

Retainer keeps the Voice Agent stack tuned, monitored, and improving — not just running.

  • ·Slack channel
  • ·Weekly tune cycle
  • ·Monthly reporting
The math

Human caller vs AI voice agent · cost per conversation

Voice agents change the unit economics on conversation-driven work. Senior human callers cost $40–80 per hour fully loaded. Voice agents cost $0.30–0.80 per conversation regardless of duration.

Senior human caller: ~$60/hr loaded · ~$3–5 per real conversation
AI voice agent: ~$0.40–0.80 per conversation · 24/7 coverage
Conversation throughput: human ~8/hr · AI parallel-capable, ~thousands/hr
Plus: AI scales linearly with budget, humans hit a wall
Cost per qualified conversation
Senior human caller$3.50
Loaded · 5–8 conversations/hr
AI voice agent$0.60
~2-min avg call · GPT-4o + ElevenLabs
Reduction per conversation−83%
Compounds with volume
The math
−83% per call
plus 24/7 + parallel scaling
AI Voice Agents vs Digicore AI

How AI Voice Agents compares to Digicore AI

A side-by-side on what each platform actually does. Vendor-neutral — we work in both.

CapabilityAI Voice AgentsDigicore AI
Conversation latency5–10s · awkwardSub-2s · natural
Voice qualityRobotic IVRElevenLabs · indistinguishable from human in normal contexts
Two-way conversationTree-based · breaks off-scriptReal LLM · holds context, handles objections
Cost per call~$3–5 (human)~$0.40–0.80
Coverage40 hr/wk24/7 · across timezones
Best forHigh-judgment callsVolume + qualification + booking
Recent voice agent work

How real teams used this

Names anonymized where requested.

Inbound

Med spa · 24/7 reception · 0 missed calls

Replaced human receptionist with AI voice agent on Vapi. Books to live calendar during the call. 0 missed inbound in 90 days. CSAT 4.7/5 on AI-handled calls.

24/70 missedCSAT 4.7
Outbound

B2B SaaS · 6,200 outbound calls Q1 · 184 SQLs

AI voice agent for outbound prospecting. 200–500 calls/day across ICP-2 mid-market. 184 SQLs · 9 closed deals · $740k pipeline.

6.2k calls184 SQLs$740k pipeline
Recovery

Coaching · no-show recovery · 31% rebooked

AI calls every no-show within 5 min. Asks what happened, offers reschedule, books new time. 31% rebook rate vs 8% for email-only recovery.

No-show recovery31% rebookCoaching
Multi-tz

Service biz · 24/7 across 3 time zones

Solo founder serving Asia + EU + US. AI voice agent handles overnight inbound. Founder sleeps without losing leads. Captured 14 net-new bookings in month 1.

3 timezones24/714 net-new
When this fits

Honest scope — and who shouldn't engage

Voice agents work in narrow conditions. Compliance + scope discipline matter.

✓ Engage when
  • Service business with appointment-based revenue
    Inline calendar booking is the killer feature.
  • You take 20+ inbound calls/day
    Volume math works. Below that, traditional answering services may be cheaper.
  • Your conversations qualify in 2–4 questions
    Tight scope = high success rate. Wide-open conversation = harder.
  • TCPA / compliance properly handled
    We will not deploy outbound without it.
✗ Don't engage when
  • Highly judgment-driven sales calls
    Enterprise discovery, executive sales, nuanced negotiation — keep humans.
  • Under 5 inbound calls/day
    Traditional answering service is cheaper. Migrate when volume justifies.
  • Industries with heavy verbal-consent compliance
    Healthcare HIPAA, financial services possible but adds 30%+ build cost.
Pricing depends on scope

Every AI Voice Agents build is a different shape.

We don't quote off a feature checklist — we quote off your stack, your bottleneck, and the build phases that actually move revenue. The audit is the front door: free, 7-day costed roadmap, vendor-neutral.

FAQ

Questions before we start

Is the voice quality good enough?+
Yes — ElevenLabs voices on Vapi/Retell crossed the threshold in 2024. In normal business contexts, callers cannot reliably distinguish the agent from a human. We always disclose if asked directly. Voice quality is no longer the bottleneck — conversation flow design is.
What about latency? AI calls used to feel awkward.+
Vapi and Retell now deliver sub-2-second response times in production, comparable to a human pause. We test latency targets before deploying. If your use case depends on rapid back-and-forth, we tune specifically for that.
How does compliance work?+
TCPA: call windows, DNC list scrubbing, opt-out handling, audit trail per call. We will not deploy outbound without it. Healthcare HIPAA and financial services compliance available — adds 20–30% to build cost.
How fast can we ship?+
Typical 2–3 weeks for inbound, 4–6 weeks for outbound (longer because of compliance + sender warmup on the phone numbers). Both include voice cloning + flow design + shadow testing before live.
What does it cost?+
Full Build $1,997+ + $297–597/mo (multi-flow, multi-channel, compliance handling). Per-call costs run ~$0.40–0.80 depending on duration.
Keep exploring

Where AI Voice Agents fits in the bigger picture

Most engagements layer 2–3 platforms with a service shape. These pages map the surrounding territory.

Ready when you are

Ready to scope your AI Voice Agents build?

Book the free AI System Audit. We map your stack, find the leaks, and deliver a build roadmap in 7 days. Vendor-neutral.