Customer discovery
Public research becomes a testable hypothesis: which intents, surfaces, latency ceilings, and escalation rules make voice useful rather than decorative?
Deployment Strategist application · ElevenLabs Brazil
This page condenses the application artifact: customer thesis, live ElevenAgents prototype, deployment architecture, commercial frame, and rollout gates. The deeper repo contains the tests, mock APIs, prompts, risk register, and playbook.
01 · A potential prospect thesis
The large Brazilian retail and tech platform already has Lu1, a massive Brazilian consumer surface4, and a WhatsApp customer journey where users naturally send voice notes3. My proposal tests whether ElevenAgents can become the voice specialist inside that customer workflow.
Public research becomes a testable hypothesis: which intents, surfaces, latency ceilings, and escalation rules make voice useful rather than decorative?
PT-BR voice judgment, brand-voice constraints, sample curation, and a future Professional Voice Clone (PVC) path are treated as deployment work, not just creative polish.
The repo includes Python tools, mock APIs, logging redaction, tests, and an orchestration boundary for handoff and tool calls.
The pilot is packaged around CFO-readable value, licensing critical path, risk gates, and a Day-60 decision point.
02 · Demo
The public demo is intentionally narrow: a first feel for voice tone, narration-before-action, PII-safe phrasing, and human handoff. The production plan lives in the repo.
Hosted with an ElevenAgents widget5. Luiza is the Phase 1 persona, rendered on a premade Multilingual v2 voice as the bridge until licensed Professional Voice Clone is in place. PT-BR primary, configured around three behaviors: explain before acting, mask sensitive data, and hand off clearly when the task leaves scope.
“Oi Lu, tudo bem?”
“Quero falar com uma pessoa.”
03 · Deployment model
The strongest first-phase integration story registers ElevenAgents as the voice specialist beside Magalu’s existing customer, cart, search, and support agents. Phases 2 to 4 expand the surface area as the data and the customer’s confidence earn each next step.
“ElevenAgents plugs in as the voice specialist inside Magalu’s existing orchestrator1, then returns structured context when the turn belongs to another agent or a human.”
Voice notes can get voice replies for in-scope intents. Out-of-scope turns are handed to a human with the transcript, reason, and next step intact.
Containment, CSAT delta vs text-only baseline, p95 first-audio latency, escalation precision, and MOS for Lu’s voice.
Brazilian CPF/CNPJ speech handling, BR retail voice presets, timeout heuristics, and retry-with-idempotency patterns for future deployments.
04 · Rollout and commercial frame
From prospecting through close to implementation: the path a Magalu engagement actually runs.
Three deal structures on the table:
05 · About the candidate
Sixteen years across customer-facing release operations, commercial negotiation, voice and localization, and QA leadership at studios including Keywords, Riot, Altagram, and Maximal.
The commercial instinct comes from co-founding Neutrimem: prospecting at Gamescom, structuring commercial terms, driving engagements to close, and owning delivery through platform-holder certification.
The combination I would bring to ElevenLabs Brazil: customer discovery, voice judgment, deployment-grade prototyping, deployment risk discipline, and the ability to translate between business, engineering, and product teams.