Naples, FL · Remote · Open to senior IC, architect/lead, or consulting

AI Systems Architect

Matt Martelli

AI is the tool. The system is the product.

I ship production AI that stress-tests weak spots, adapts and learns, and scales revenue. Voice agents that book the call. Multi-agent systems that run real operations. CRM automation workflows that turn speed-to-lead into attributed pipeline — built as one operating system your team can actually run.

Recruiter Fast Path Download Résumé Email LinkedIn

25 yrs
Marketing — last 15 in marketing automation
$90K+/yr
Saved via a zero-downtime Zapier-to-n8n migration
$750K+/mo
Attributed pipeline from lifecycle automation
500K+
CRM records architected and kept compliant

Best fit for:AI Systems ArchitectForward Deployed EngineerSenior Applied AI EngineerAlso open to RevOps and marketing automation leadership roles.

Proof of work

Three systems that show how I build

Business outcomes first. Each project below opens to the full story, architecture, and live demos in the portfolio section.

Voice AI product landing: 'Every missed call is lost revenue' — AI that answers the phone, qualifies the lead, and books the job, with a call-flow diagram.

AI Voice Agent Ecosystem

Turns missed and after-hours calls into qualified, scheduled, revenue-generating conversations.

Missed calls → qualified, scheduled revenue

View live site

Speed-to-lead product: 'Your Leads Are Dying. Every Minute Costs You $47' with metric cards — 78% of jobs go to the first responder, 21x higher conversion under 5 minutes, 391% higher conversion when calling within one minute.

Revenue Recovery Platform

Recaptures revenue that normally leaks away — missed calls, after-hours inquiries, and slow follow-up.

Speed-to-lead — first responder wins

View live site

GrowthMindset.ai feature: 'I Run My Whole Company on a Cast of Seinfeld Characters' — a multi-agent system named after Seinfeld characters, illustrated as a lineup of characters.

03Flagship

Multi-Agent Company Operating System

A working demonstration that orchestration, routing, memory, and QA can run real workflows end to end — a system, not a prototype.

Multi-agent OS that runs a real company

View the case study

View full project library

Vouching

On the record

From LinkedIn recommendations — verbatim, and verifiable on the profile.

“He didn't just manage systems; he optimized them, always finding ways to improve scalability and productivity. … Any company would be incredibly fortunate to have Matt on their team. He is a true asset, a problem-solver, and a leader who brings both vision and execution to every project he touches.”

Christopher Seibert

VP of Growth

Managed Matt directly · March 2025

“My recommendation of Matt is unequivocal. … The clearest statement I could give is that I would hire him immediately if I had a need for a consummate marketing professional.”

John Campbell

Board Member, Cambium Learning Group

Senior leadership at Voyager · March 2010

Read all of them on LinkedIn

Complete workflow automations

Automations across every department

End-to-end workflows, grouped by the department that runs them. Pick one to watch it run — expand to see the whole thing.

coming-soon

Live preview — publishing shortly

Internal processes

Contract & e-signature routing

Agreement generated, routed for e-signature, and processed end to end — onboarding kicks off the second it’s signed.

Every department on the surface — the whole company automated, no digging.

Experience

Where I've shipped

2023–Present
Founder & AI Systems Architect · growthmindset.ai
Production voice AI, multi-agent operating systems, and revenue automation — designed, built, and shipped as the growthmindset.ai platform.
2025–2026
AI Integration Strategist · Home Genius Exteriors
Enterprise AI and automation across recruiting, sales, customer experience, and operations — production voice agents, multi-agent workflows, and a zero-downtime Zapier-to-n8n migration.
2020–2025
Marketing Automation Specialist | Business Analyst · Expo Home Improvement
Lifecycle, CRM, and speed-to-lead automation on HubSpot + Salesforce.
2010–2020
Co-Founder & Chief Marketing Officer · Flywheel360
MarTech and automation strategy for clients up to Fortune 400/500.
2007–2010
Email Marketing Manager | Senior Copywriter · Cambium Learning Group
Personalization pilot that drove $3.1M in six months.

AI AutomationAgentic SystemsMulti-Agent ArchitectureVoice AIMarketing OperationsCRM ArchitectureWorkflow AutomationRevenue Operations

Differentiator · AI Evaluation

A system builder who pressure-tests AI before it ships

Three independent AI auditors attack the same workflow from different perspectives. A reward engine penalizes hallucinations, rewards evidence, and ranks only verified findings—producing implementation-ready fixes instead of vague AI opinions. Every recommendation is explainable, reproducible, and built to help teams ship AI systems with confidence.

Three independent AI auditors challenge every workflow before it reaches production.
Hallucinations are penalized while evidence, consensus, and reproducible results are rewarded.
Failure modes are ranked by business impact, giving teams a prioritized roadmap instead of raw AI output.
Every recommendation includes actionable fixes that engineering teams can immediately implement.
Built for enterprise AI where reliability, governance, and trust matter more than flashy demos.

Tiger Team Plays OffenseRead the article Tiger vs. SentinelField note Interactive PlaybookLive system demos

Want the reward-engineering framework?

Technical depth

For evaluators who want to go deeper

Interactive architecture canvases, voice AI demos, orchestration patterns, and the methodology behind how I pressure-test AI before it ships.

Scroll to systems

Multi-agent architecture

Agentic Systems for Every Business Process

AI workers that qualify leads, recover revenue, support customers, and automate operations — coordinated as a single system.

Example applications — select to explore

Lead Qualification Systems

Agents intake, enrich, and score inbound leads in real time, then route only sales-ready prospects to humans — compressing response time from hours to seconds.

Enriches and scores every inbound lead in real time
Routes only sales-ready prospects to a human
Compresses response from hours to seconds

Speed matters: contacting a lead within 5 minutes makes qualifying 21× likelier than at 30.¹

The AI-Powered Lead Lifecycle — an end-to-end agentic journey: ingestion and triage, data hygiene and semantic standardization, enrichment and strategic routing, then final sync and operational action across HubSpot and Salesforce. — The AI-powered lead lifecycle — an end-to-end agentic journey

The autonomous enterprise — contrasting the past of linear, sequential human effort with parallel agentic execution, where one operator directs many simultaneous AI workstreams. — The autonomous enterprise — from linear human effort to parallel agentic execution

The high-level vision — one brain, many channels: replacing a chaotic pile of isolated bot frameworks with a single command center that every interface feeds into. — One brain, many channels — every interface feeds a single command center

The router outside the room — a reasoning agent intercepts and triages all incoming traffic by skill, load, and intent before it reaches human operators, so reps only see pre-qualified, scored leads. — The router outside the room — AI triages everything before a human ever sees it

Automated lead triage pipeline — ingestion into the mission control queue, a reasoning router classifying intent and team load, sub-second auto-assignment, then execution with 30/60/90-day rework logic and global memory updates. — Automated lead triage — tasks flow to the precise node of expertise, no manual routing

The hive mind — parallel task execution across five specialized agents (main, research, comms, ops, content) sharing one unified memory state, with dynamic triage and no human bottleneck. — The hive mind — five specialist agents, one shared memory, zero bottlenecks

The 6-layer enterprise OS architecture — deterministic execution, security perimeter, subsystems like Memory v2 and voice I/O, a five-agent core engine with smart routing, channels, and multi-device user interfaces. — The 6-layer enterprise OS — from deterministic core to every channel and device

Mission control radar — a 60-second cron scheduler continuously sweeps the database for due tasks and executes recurring work in strict priority order, from hot leads down to data cleanup. — Mission control radar — operations stop being reactive; the 60-second cron never sleeps

Securing the perimeter with one-way data pipelines — every interaction processed as a localized, typed frame through VAD, speech-to-text, and the LLM decision center, with zero unauthorized exfiltration. — One-way data pipelines — every interaction is a typed frame, nothing leaks out

The 4-ring defense model around the data vault — chat ID allowlist, salted SHA-256 PIN verification, an exfiltration guard scanning outbound traffic against 15+ regex patterns, and a typed action audit log, plus an emergency kill phrase. — 4-ring defense — allowlist, verification, exfiltration guard, audit log, kill phrase

A unified go-to-market execution blueprint — Clay as the data foundation for enrichment and sourcing, Chili Piper for routing and inbound conversion, Outreach for outbound execution, unified on a HubSpot and Salesforce core. — The GTM engine — Clay to Chili Piper to Outreach on a HubSpot + Salesforce core

Scaling seven distinct customer journeys — persona-routed sales architecture mapping each buyer, from emerging pro to growth-stage founder, to the offer tier, sales cycle, and conversion moment that fits. — Seven distinct journeys — every persona routed to the right offer and sales cycle

The tooling orbit — infrastructure for scale: engagement, revenue capture, learning, and fulfillment systems orbiting one CRM source of truth over bi-directional webhooks and native integrations, no middleware. — The tooling orbit — every system orbits one CRM source of truth, no middleware

The penthouse view — an executive control panel distilling backend complexity, AI routing, and human behavior into a handful of decision-ready numbers. — The penthouse view — immense backend complexity distilled into one executive panel

The 90-day implementation blueprint — phase 1 baseline and triage, phase 2 high-ticket routing and concierge engine, phase 3 advanced QA and scale, without disrupting current revenue flow. — The 90-day roadmap — baseline, routing, then advanced QA and scale

The field-guide series — Who Audits the Robots?

Cover of Paying Agents to Find Truth, Paper 1 of 2 in the Who Audits the Robots? series — how to make a team of AI auditors accurate on purpose by rewarding provable findings, punishing bluffing, and never letting a model grade its own work. — Paying Agents to Find Truth — the offense: reward design for AI auditors (Paper 1 of 2)

Cover of Standing Watch, Paper 2 of 2 in the Who Audits the Robots? series — how to keep a production AI system honest between audits: watching for drift, catching regressions early, and shipping fixes that actually hold. — Standing Watch — the defense: keeping production honest between audits (Paper 2 of 2)

1.MIT / Dr. James Oldroyd + InsideSales; HBR, "The Short Life of Online Sales Leads" (2011, 2007 data — directional).
2.Lead Response Management Study / Lead Connect Survey.

Framework-agnostic by design

AI Orchestration & Frameworks

I've built dozens of custom agent workflows and harnesses over the last few years, and no two are alike. That's the point — each one is architected around the business process it serves, not a template.

Once you realize one size never fits all, you get the flexibility to build something streamlined and genuinely custom. Every build brings a new challenge.

Select from the dropdown menu to explore different ways to architect a fully functional multi-agent harness or workflow.

Interactive blueprints

10 interactive architecture diagrams live here — real multi-agent systems mapped end to end. They're built for a big screen; open this page on desktop to explore them.

Select

RevOps · TCPA complianceThe architecture canvas — every lead consent-checked, validated, scored, and quarantined before it can touch the CRM. Compliance enforced at the gate and audited end to end.

I design, build, and deploy production AI systems regardless of the orchestration framework.

My primary foundation moving forward is LangChain — the framework the largest AI teams standardize on, layered from a single agent up to a fully evaluated, multi-agent system.

Explore the LangChain stack

Production Quality

Professional Voice AI Frameworks

Ability to run over 60 simultaneous calls using one workflow.

Retell AIRealtime voice agentsElevenLabsVoice synthesisOpenAI RealtimeSpeech-to-speechGemini VoiceMultimodal voice

Capabilities — select to explore

Inbound Call Handling

Answers every call instantly with a natural-sounding agent that captures intent and never sends a caller to voicemail.

Answers instantly, never sends a caller to voicemail
Captures intent in natural conversation
Logs everything to CRM in real time

~80% of callers who hit voicemail hang up without leaving a message.³

Hear it in action

Most voice AI still sounds like a robot. Listen to one that doesn't.

That natural tone is engineered — not defaulted. I spent weeks tuning persona, pacing, turn-taking, objection handling, and voice selection until callers stay on the line and actually book. Every hesitation, every interruption, every "uh-huh" moment was deliberate.

Under the hood:

n8n orchestration
Retell AI realtime voice
OpenAI + Claude for reasoning
ElevenLabs + HeyGen for synthesis
CrewAI on the vector memory layer

The stack runs production. The sound is what proves it works.

Push play — real outbound call, zero edits

1.MIT / Dr. James Oldroyd + InsideSales; HBR, "The Short Life of Online Sales Leads" (2011, 2007 data — directional).
3.Industry aggregate (voicemail abandonment ~75–90%; after-hours 30–40% of volume).
4.Owned result — home-services confirmation workflow (no client named); corroborated by Klara (text reminders ~38%) and Am. J. Medicine (phone reminders: no-show 21%→7%).
5.Journal of General Internal Medicine — two-way vs one-way reminders.
6.Statista — service-sector missed-appointment losses (~$150B/yr).

25+ years in market

Lifecycle MarketingRevOpsData Hygiene

Enterprise-scale lifecycle marketing, lead management, and revenue operations — the marketing-automation ecosystem and customer-journey infrastructure that businesses run on.

HubSpot
Salesforce
Marketo
Eloqua
IBM Watson Campaign Automation (Silverpop)
Lifecycle Marketing
Lead Scoring
Customer Journeys
Revenue Attribution
Marketing Automation Strategy

Lead → revenue, measured end to end

Leadany source
CRMone record
Segmentationright audience
Scoringsales-ready
Nurturemove forward
Appointmentbooked meeting
Saleclosed revenue

See how the pieces connect in the interactive Marketing Operations Engine below.

Full project library

Systems, not screenshots

Every card leads with the business outcome. Click for architecture detail, tech stack, and live links.

AI Training & Evals

Teaching AI to reason better through human expertise.

Every AI system is only as sharp as the feedback it learns from. I build the evaluation frameworks and training pipelines that turn raw model output into reliable, production-ready intelligence — the difference between an AI that guesses and one that reasons.

Matt Martelli