Sub-300ms Conversational Latency.Architected for Zero Dropped Leads.
I engineer production-grade Vapi voice agents with LLM-driven objection handling, sub-30-second lead response, and instant CRM sync for agencies that refuse to let inbound calls go to voicemail. 100+ voice agents deployed. Zero account managers between us. Human-like conversations. 24/7 coverage. Calls that book, qualify, and sync — without a human in the loop.
30 min · Free · No commitment
Cleany.ca Franchise Ops
Architected multi-location automated dispatch, real-time booking, Stripe checkout flow, and two-way SMS crew notification systems.
Spectacular Academy
Engineered high-converting curriculum enrollment funnels, automated onboarding workflows, and student retention follow-up sequences.
Preclose.ai Inbound CRO
Architected post-click inbound conversion funnels, pre-call sales nurture workflows, and automated pipeline leak audits.
She's Got Goals (Karwanna D)
Architected 5-day Government Contracting challenge enrollment funnels, automated lead qualification for GovCon coaching, video onboarding delivery, and student nurture pipelines.
AI Ad Machine & CRM
Engineered automated ad testing pipelines, dynamic budget optimization, real estate CRM routing, and listing follow-up workflows.
MultiplyME Training & SOPs
Architected automated video onboarding workflows, QR-triggered SOP delivery systems, team training vaults, and client portal access pipelines.
Cleany.ca Franchise Ops
Architected multi-location automated dispatch, real-time booking, Stripe checkout flow, and two-way SMS crew notification systems.
Spectacular Academy
Engineered high-converting curriculum enrollment funnels, automated onboarding workflows, and student retention follow-up sequences.
Preclose.ai Inbound CRO
Architected post-click inbound conversion funnels, pre-call sales nurture workflows, and automated pipeline leak audits.
She's Got Goals (Karwanna D)
Architected 5-day Government Contracting challenge enrollment funnels, automated lead qualification for GovCon coaching, video onboarding delivery, and student nurture pipelines.
AI Ad Machine & CRM
Engineered automated ad testing pipelines, dynamic budget optimization, real estate CRM routing, and listing follow-up workflows.
MultiplyME Training & SOPs
Architected automated video onboarding workflows, QR-triggered SOP delivery systems, team training vaults, and client portal access pipelines.
The Symptoms of anAgent Built Wrong.
If two or more of these feel familiar, the issue usually isn't another prompt tweak. It's the architecture underneath it.
The agent hallucinates mid-call
Your voice agent gives wrong answers, invents pricing, or goes off-script the moment a prospect asks something unexpected — and you only find out from call recordings.
No visibility into call outcomes
You can't tell which calls booked, which bounced, or which objections killed the deal — no transcript analysis, no disposition tagging, no reporting.
Calls don't sync to the CRM
Every call ends and a human still has to manually log the outcome, update the contact, and set the next task — the agent talks but nothing connects.
Objection handling is a static script
The agent reads the same rebuttal regardless of what the prospect actually said. No dynamic LLM reasoning, no context awareness, no qualification logic.
Three 'experts' who were prompt-tweakers
You've hired people who edited a prompt one line at a time instead of architecting the full call flow, fallback logic, and CRM integration.
Growth outpaces your agent
Your call volume is scaling, but your voice AI architecture can't handle routing, concurrency, or multi-agent handoffs without breaking.
If 2+ symptoms hit, let's audit the architecture underneath.
Production-GradeVoice AI Architecture.
Not configuration. Engineering the LLM-driven, CRM-synced conversational infrastructure that scales across hundreds of calls without breaking.
Objection-Handling Call Flow
Dynamic LLM personas with context-aware rebuttals, qualification logic, and fallback scripts on every call path.
Inbound Routing & Triage
Instant call routing by intent — qualify, book, escalate to human, or transfer — with zero hold time.
Instant CRM Sync Engine
Transcripts, summaries, and extracted data pushed to the contact record the moment a call ends via webhooks.
Call Performance Dashboard
Real-time booking rate, objection breakdown, call duration, and disposition reporting for every agent.
Six systems that make the whole stack scale.
Vapi & Twilio Integration
Production voice agent deployment on Vapi with Twilio telephony — speech recognition, LLM reasoning, and natural text-to-speech wired end-to-end.
LLM Prompt Engineering
Context-aware agent personas with objection handling logic, qualification criteria, and fallback scripts that adapt to what the prospect actually says.
Inbound & Outbound Routing
Intent-based call routing — qualify, book appointments, answer FAQs, or escalate to a human — with zero hold time and 24/7 coverage.
Instant CRM Sync
Transcripts, call summaries, and extracted data pushed to the contact record the moment a call ends via webhooks — no manual logging.
Call Transcript Analysis
Every call transcribed, summarized, and tagged with disposition — objection patterns surfaced so prompts improve month over month.
Multi-Agent Orchestration
Wire voice agents into n8n workflows — handoffs between agents, human escalation triggers, and automated follow-up sequences.
LLM-driven. CRM-synced. Built for production.
Want this built for your system? Let's scope it.
Conversational Speed Is the Difference Between Conversion & Hang-Up.
Un-architected voice bots fail because callers hate awkward 2-second pauses. I engineer sub-300ms pipeline latency and strict state guardrails so calls feel like talking to your top sales rep.
Sub-second speech-to-speech roundtrip. Natural turn-taking without awkward pauses or robotic delays.
Strict state-machine execution ensuring the agent never goes off-script or invents unverified pricing.
Inbound call pick-up or instant outbound dial on webform fill before the prospect reaches a competitor.
Want human-standard sub-300ms voice agents? Let's audit your Vapi stack.
Zero Hallucination. Four-Tier Voice AI Guardrail Architecture.
Prompts alone cannot guarantee enterprise brand safety. I engineer four layers of deterministic guardrails, fallbacks, and human escalation into every Vapi deployment.
Dynamic Knowledge Grounding
Strict RAG boundary prevents hallucination. The agent answers only from verified company knowledge bases and explicitly declines unknown queries.
Mid-Sentence Interruption & Turn-Taking
Proprietary turn-taking logic senses when a prospect interrupts, immediately stopping speech to listen without cutting off important context.
Warm Human Escalation
When sentiment, deal size, or complex objections exceed threshold, the agent briefs the human rep and seamlessly transfers the live call.
Instant Webhook CRM Telemetry
Full transcript, structured LLM summary, objection tags, and sentiment score pushed to your CRM the moment the call terminates.
Deploying Voice AI? I'll build the guardrails that keep your brand safe.
What Broken Voice AI Actually Costs You.
inbound calls hit voicemail after hours — leads go cold and book with the competitor who answered first.
spent manually logging call outcomes, updating CRM records, and setting follow-up tasks — over $25K/year of your time gone.
when a call fails to convert, no one knows which objection killed it — no transcript, no disposition, no way to fix the prompt.
Every week you wait, the leaked calls compound. An architect fixes the root — not the symptom.
How I Architect Your Voice AI Agent.
A 4-phase process from strategy to production. No black boxes — you approve before I touch production.
Strategy & Mapping
I map your sales script, identify objection patterns, and design the conversation flow before any code. Delivered as a written report.
Prompt Engineering
Context-aware agent personas with objection handling logic, qualification criteria, and fallback scripts. You approve the call flow before any build.
Integration & Testing
Vapi + Twilio setup, CRM webhook sync, and live call testing with real objection scenarios. Version-controlled and tested against your real sales scripts.
Deploy & Optimize
Production deployment with call monitoring, transcript review, and monthly prompt optimization. A documented learning loop, not a black box.
Stop the bleed. Start with a free voice AI audit.
Inherit a Broken Build?I Audit Before I Touch It.
Most of my engagements start with a half-built voice agent another freelancer left behind — hallucinating answers, dropping calls, and never syncing to the CRM. Here's how I take it over without anything breaking.
Map
I document every prompt, call flow, webhook, and integration in your current voice setup before touching anything. No surprises, no silent deletions.
Document
A written architecture report of what exists, what's broken, and what must be preserved — so you own the map of your own voice agent.
Rebuild
I engineer the corrected call flow and CRM sync in a controlled staging environment — version-controlled and tested against your real sales scripts.
Verify
Migration completes only after a call-by-call verification pass. Zero dropped calls is the standard, not a hope.
Zero dropped calls isn't a promise. It's a 4-step process that starts with documentation, not deletion.
Inheriting a broken voice agent? I audit before I touch anything.
What Happens After the Architecture.
“Lead response went from hours to under 30 seconds. The voice agent books demos 24/7 and syncs every call to the CRM. We booked 40% more demos in the first month. Highest ROI hire this year.”
“Our receptionist workload dropped 80% after the voice agent took over inbound qualification. It handles objections, books appointments, and escalates only the complex calls. Closed-won rate up 23% in one quarter.”
“Decision velocity tripled. The voice agent runs our outbound follow-up 24/7 — every call transcribed, summarized, and synced. He is the architect behind our scaling from $200K to $600K monthly revenue.”
Every Layer of the Conversational System.
From prompt engineering to CRM sync — the full build surface I architect and own end-to-end.
Ready-to-Deploy Voice Agent Blueprints.
A preview of the version-controlled voice AI architectures I engineer and deploy — not templates copied from a marketplace.
Inbound Qualification Agent
24/7 inbound call handling — qualify, answer FAQs, book appointments, and escalate complex calls to a human with zero hold time.
Outbound Follow-Up Agent
Automated outbound dialing with objection handling — re-engage cold leads, confirm appointments, and sync every call to the CRM.
AI Call Summary Blueprint
Vapi voice AI → transcript → LLM summary → CRM notes — calls summarized and disposition tags auto-updated, no manual note-taking.
Multi-Agent Orchestration
Handoffs between specialized agents — qualification, booking, support — with human escalation triggers and automated follow-up sequences.
Get a voice agent architecture engineered for scale.
Architecture Tuned to Your Business Model.
The same engineering principles, adapted to the way each business model actually handles inbound and outbound calls.
Marketing Agencies
- 24/7 inbound lead qualification
- Outbound follow-up automation
- Call-to-CRM sync across sub-accounts
Real Estate Teams
- Instant lead response under 30 seconds
- Property inquiry qualification
- Appointment booking & calendar sync
Insurance Brokerages
- Inbound quote requests 24/7
- Objection handling for policy sales
- Claim intake & human escalation
High-Ticket Coaching
- Sales call qualification
- Discovery call booking
- Enrollment call follow-up
See your industry's call flow mapped end-to-end.
The 6 Criteria That Actually Matter.
Most teams hire on price and regret on call quality. Use this scorecard before you pay anyone to touch your voice AI.
Voice AI Implementation
Can they architect the full call flow — not just edit a prompt?
Prompt Engineering
Do they understand conversational logic, or do they just write static scripts?
CRM Integration
Can they sync transcripts, summaries, and dispositions to your CRM automatically?
Specialist Expertise
Are they a voice AI architect or a generalist wearing many hats?
Scope Transparency
Do they tell you exactly what they will and won't build — before you pay?
Post-Launch Support
Who optimizes the prompts after launch — and is it documented?
Vet me against this checklist on a call.
Voice AI Architect vs. General VA vs. US Agency.
A US AI agency charges a premium retainer. A general VA charges less but can't architect. A senior Voice AI architect delivers the full conversational architecture at a fraction — scoped per project or retainer. Book a free call for a custom quote.
| Capability | Voice AI Architect | General VA | US Agency |
|---|---|---|---|
| Call flow architecture | Custom, version-controlled | Cannot build | Yes, at premium rate |
| Objection handling | Dynamic LLM reasoning | Static script only | Yes, at premium |
| CRM sync | Instant webhook sync | Manual call logging | Yes, project-based |
| Call analytics | Full disposition reporting | No visibility | Yes, at high cost |
| Engagement model | Direct engineer, no middlemen | Task-taker, reactive | Account-managed team |
| Ongoing optimization | Documented learning loop | Ad hoc, reactive | Retainer required |
Before You Pay Anyone — Let Me Audit Your Voice AI.
On a focused 30-minute working call, I'll map your current voice agent, uncover where calls leak and prompts hallucinate, and show you exactly what needs to be architected for production scale. If I'm not the best fit, I'll point you directly to who is.
Call Leak Map
Every point where calls drop, go to voicemail, or fail to convert — and where the prompt goes off-script.
Prompt & Flow Health Check
Code review of agent personas, objection logic, fallback scripts, and CRM webhook wiring.
90-Day Architecture Roadmap
Prioritized engineering plan: what to patch today, rebuild next, and orchestrate at scale.
A Systems Engineer,Not a Task-Taker.
Marjohn Robillo
Voice AI Architect
I came from disciplined environments where documentation wasn't optional. I bring that same standard to every voice AI build — documented, structured, and transferable. 5+ years, 100+ voice agents, four continents.
Book a call directly with me — no account manager in between.
Questions Before Hiring Me.
01What does a Voice AI architect actually do?
What does a Voice AI architect actually do?
A Voice AI architect designs and builds the entire conversational system: Vapi + Twilio telephony, LLM prompt engineering, objection handling logic, inbound/outbound routing, instant CRM sync, and call analytics. They engineer the infrastructure, not just configure it.
02Can a Voice AI agent really handle sales objections?
Can a Voice AI agent really handle sales objections?
Yes, when engineered correctly. I map behavioral triggers to dynamic LLM responses so the agent adapts its objection handling based on what the prospect says. The key is prompt engineering: context-aware personas, fallback scripts, and qualification logic built into the conversation flow.
03How much does a Voice AI architect cost?
How much does a Voice AI architect cost?
Engagements are scoped per project or retainer. A senior Voice AI architect delivers the full conversational architecture at a fraction of a US agency rate. Book a free voice AI audit call to receive a custom scope and quote for your Vapi automation needs.
04What platforms do you integrate with Voice AI?
What platforms do you integrate with Voice AI?
Vapi and Twilio for the voice layer, with CRM sync to GoHighLevel, HubSpot, Close CRM, and any platform with webhook support. Call transcripts, summaries, and extracted data push to the contact record the moment a call ends.
05How long does it take to deploy a Voice AI agent?
How long does it take to deploy a Voice AI agent?
A production-ready Vapi agent with objection handling, CRM sync, and call routing takes 1–2 weeks. Simple inbound qualification agents can ship in 3–5 days. Complex multi-agent systems with n8n orchestration take 3–4 weeks.
06Can you fix a voice agent another freelancer built?
Can you fix a voice agent another freelancer built?
Yes. I inherit and rebuild broken voice agents with a documented audit first — mapping every prompt, call flow, and webhook before any changes, so nothing breaks during the transition.
07Can Voice AI replace my receptionist or SDR?
Can Voice AI replace my receptionist or SDR?
A Voice AI agent handles inbound qualification, outbound calling, appointment booking, and FAQ answering 24/7 at a fraction of the cost. It escalates to humans only when needed, reducing manual admin by up to 80% and accelerating lead response to under 30 seconds.
08How do we get started without disrupting live calls?
How do we get started without disrupting live calls?
Every engagement begins with an audit and staging blueprint. We test all prompts, call flows, and CRM sync in a sandbox environment before rollout — ensuring your active call operations run 100% uninterrupted.
Still deciding? Let's talk it through on a free call.
Your System Is EitherBuilding Revenueor Losing It.Let’s Fix That.
I work with a small number of companies at a time to ensure I can deliver the depth of architectural thinking that produces real results. If your revenue system needs an upgrade, or if you're building one from scratch, let's talk.
2 engagement slots remaining this quarter.
Engagements typically begin within 2 weeks of first call.
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