Voice agents .
Sub-200ms p50. Edge-deployed. CRM writeback. 14 languages. The Vega agent runs the conversation. The audit trail is the regulator's form.
Service
VZU Voice Agents
180ms
p50 latency
VZU Voice Agents is the AI voice and digital agent division of the VZU operator services line. Sub-200ms p50 latency. Edge-deployed. CRM writeback via MCP. 14 languages. Run by the Vega agent on the VZU OS runtime. The brief is the contract. The work is the work. The audit trail is on from the first character.
The position
The Vega agent runs the conversation.
VZU Voice Agents is the AI voice and digital agent division of the VZU operator services line. Sub-200ms p50 latency. Edge-deployed. CRM writeback. 14 languages. The Vega agent runs the conversation.
The Vega agent is the VZU OS agent for voice and conversation. The Vega agent owns the orchestration: turn-taking, intent classification, entity extraction, CRM writeback, escalation. The Vega agent doesn't pick the model — the operator picks the model. The Vega agent doesn't pick the voice — the operator picks the voice. The Vega agent runs the conversation.
The deployment is edge-deployed. Each operator region has a Vega agent instance close to the operator's phone numbers. The voice traffic stays regional. The CRM writeback goes to the operator's existing CRM via the MCP integration. The audit trail is on from the first character. The Vega agent is the operator's voice. The Vega agent is the operator's record. The Vega agent is the work.
VZU Voice Agents is the AI voice agent division of the VZU operator services line. The brief is the contract. The work is the work. The audit trail is the regulator's form.
Live demo · Run a trace
Watch the Vega agent take a call.
Tap "Run trace" below. The Vega agent will execute a real call — the dental chain brief from the case study. Every turn, every token, every CRM writeback will light up.
Brief
Refactor the admin console to React 19 with Server Components. Move state to URL. Add accessibility.
The Vega agent. A real call. In motion.
- 01
read brief
- 02
thinking: refactor admin console. stack: react 19 + next.js 15 + tailwind v4.
- 03
mcp.code.read > scan components, find 47 client components
- 04
thinking: 23 of these can be server components. move state to URL search params.
- 05
mcp.code.write > server component: <BookingList />
- 06
mcp.code.write > client component: <BookingForm /> (with useOptimistic)
- 07
mcp.test.unit > 89 tests passing
- 08
mcp.test.e2e > 12 e2e tests passing
- 09
mcp.a11y.check > 0 violations, 2 warnings (resolved)
- 10done
ship. 8 days. 22 PRs. bundle size -47%.
Audit stream · 0/7
- T+00:00:00 brief.received
- T+00:00:47 codebase.scanned
- T+00:02:11 plan.drafted
- T+01:08:33 pr.opened.001
- T+05:24:17 pr.opened.022
- T+07:48:09 test.passed
- T+08:00:00 brief.completed
The audit trail
Every turn. Every token. Every result.
- 01vega › read brief
read brief
- 02vega › thinking: refactor admin console. stack: react 19 + next.js 15 + tailwind v4.
thinking: refactor admin console. stack: react 19 + next.js 15 + tailwind v4. : refactor admin console. stack: react 19 + next.js 15 + tailwind v4.
- 03vega › mcp.code.read
scan components, find 47 client components
- 04vega › thinking: 23 of these can be server components. move state to URL search params.
thinking: 23 of these can be server components. move state to URL search params. : 23 of these can be server components. move state to URL search params.
- 05vega › mcp.code.write
server component: <BookingList / : <BookingList /
- 06vega › mcp.code.write
client component: <BookingForm / : <BookingForm /
- 07vega › mcp.test.unit
89 tests passing
- 08vega › mcp.test.e2e
12 e2e tests passing
- 09vega › mcp.a11y.check
0 violations, 2 warnings (resolved)
- 10vega › ship. 8 days. 22 PRs. bundle size -47%. done
ship. 8 days. 22 PRs. bundle size -47%.
Audit trail · 7 entries
- T+00:00:00 brief.received 01
- T+00:00:47 codebase.scanned 02
- T+00:02:11 plan.drafted 03
- T+01:08:33 pr.opened.001 04
- T+05:24:17 pr.opened.022 05
- T+07:48:09 test.passed 06
- T+08:00:00 brief.completed 07
- KPI · 01 now
8 days
Median brief duration
9% - KPI · 02 now
47%
Bundle size reduction
24% - KPI · 03 now
22
PRs per brief
50% - KPI · 04 now
100%
Tests passing
14%
The engagement
How we work, end to end.

- Latency
-
Sub-200ms p50
The first 200ms is the agent saying "Got it." while the LLM is still thinking. The operator hears a real, human-paced response before the LLM has even finished its first token.
- Deployment
-
Edge-deployed
Each operator region has a Vega agent instance close to the operator's phone numbers. Voice traffic stays regional. The audit trail is the regulator's form.
- Languages
-
14 languages · regional accents
English, Spanish, French, German, Mandarin, Cantonese, Hindi, Arabic, Portuguese, Italian, Japanese, Korean, Russian, Dutch. Each language ships with regional accent options.
- CRM writeback
-
MCP-native integration
Every call, every action, every disposition written back to the operator's CRM in real time. No batch jobs. No API drift. The audit trail is on from the first character.
- Availability
-
24/7 · never sleeps
The Vega agent handles 80% of inbound calls. The other 20% — escalations, difficult customers, billing disputes — go to a human. The human's phone rings less, the human's calls are more meaningful.
- Resolution
-
First-call resolution
The Vega agent knows when to escalate. The operator sets the rules. The audit trail records every escalation. The first-call resolution rate goes up. The cost-per-call goes down.
VZU Voice Agents · ROI calculator
How much are missed calls costing you?
Move the sliders. The numbers update live. Based on a typical VZU Voice Agents engagement ($50K, 90 days).
Your inputs
The result
Monthly revenue recovered
—
Annual revenue recovered
—
6-month ROI
—
Based on a $50K 90-day VZU engagement. Implementation cost is amortized over the first 6 months.
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