Production AI systems that 50+ non-technical revenue teammates use every day — including a two-channel AI inbound system that's attributed $9M+ in pipeline. Full-stack automation ownership: design, ship, and financially prove. Every dollar traceable to a source record.
Patrick Diamitani owns AI strategy and automation across an entire go-to-market organization — sales, marketing, and revenue operations — at a global HR-tech (Employer of Record) platform with roughly 500 employees operating in 160+ countries. His mandate: build production systems that a non-technical team of 50+ reps and marketers can rely on daily, not demos that impress once and then quietly stop being used.
Four themes run through everything he builds. Hybrid AI architecture — LLMs handle what they're good at (reading messy text, drafting, classification), while deterministic, unit-tested code handles anything that must be auditable, like compliance tiers or money. Production discipline — every build ships with dry-run tests, rollback plans, and shared error handling. Cost engineering — AI and data-enrichment spend is measured and capped by design. Platform building — beyond any single automation, the real product is a reusable skill library, a project-intake system, and a build standard so the work compounds instead of resetting.
The result is a portfolio that reads less like a collection of scripts and more like a small internal product organization: an AI agent with its own attribution model, a compliance engine with full audit trails, a cost-governance framework that turned an owned mistake into a permanent safeguard, and the standards layer that let one person's work scale across fifty.
Four principles that run through every system in the library.
Language models handle what they're good at — reading unstructured text, mapping messy values to clean categories, drafting first-pass copy — while the actual decision (a compliance tier, a lifecycle stamp, a dollar figure) is made by deterministic, testable code that produces the same answer on the same input, every time.
Nothing ships without a dry-run path, a rollback plan, and a way to fail loudly instead of silently. Systems that touch live CRM data default to report-only until a human signs off. Every automation shares a common error-handling pattern.
AI and enrichment spend is treated as an engineering constraint, not an afterthought. Free eligibility checks run before any paid step, expensive operations are gated to the accounts that actually warrant them, and every workflow reports its own cost.
The most durable output isn't any single automation — it's the standard that makes the next one faster to build safely. A shared build methodology, a self-serve project-intake tool, and a reusable skill library mean the organization's AI capability compounds.
A selection from the 16-system library. Every build includes architecture, stack details, challenges & fixes, and demonstrated capabilities.
Two AI-powered inbound channels — website chatbot + Contact Us form automation — plus the measurement pipeline that proved $9M+ in attributed pipeline, with every dollar traceable to a source record.
AI deal screening on the live sales pipeline — an LLM maps messy CRM data, a unit-tested rules engine makes the deterministic call, and the verdict writes back with full audit trail.
Four AI agents on every sales call — follow-up email, missed questions, competitor intel, and a CRM note, with zero rep action. Rebuilt from 0/25 passing to fully verified.
150+ custom GPTs across programming, productivity, sales, creative, civic, and lifestyle. Production-ready AI assistants available in the GPT Store.
Cutting enrichment cost ~70% by making overspend structurally impossible. A cloneable table with a free ICP gate, tiered build profiles, and per-row cost estimates.
Not one automation — the operating system a 50-person GTM org runs its AI adoption on. A published build methodology, intake engine, and 54-skill library.
Claude-compatible AI skills covering GTM automation, HubSpot, n8n, project management, RFP, and more. Open source and configurable.
A published, citable architecture for production-grade multi-agent systems — PAL, RAG DAL, NPAO, Rostr Hub, and a 5D phase taxonomy. The intellectual property underneath every division.
Production AI systems builder. Published researcher. Founder. I build the systems that let organizations run on AI — and the frameworks that let others do the same.
Fifteen years across entertainment, sales, and technology: enterprise sales at Uber, Upwork, and Asana; startup sales leadership at DreamItReel, taking revenue from $200K to $1.5M; a Techstars associate supporting three companies that collectively raised over $100M (two acquired); and a founding partner in Omicon Entertainment, producing 1,000+ shows for 80,000 students at $2M in yearly revenue.
Today I'm GTM AI & Automation Manager at Atlas HXM, leading AI-native efforts across sales, ops, marketing, and RevOps — my automations and AI builds have enabled over $16M in pipeline to date. I authored the ROSTR Framework, founded Artispreneur, Gency AI, and GPTPAT, built Your48 for Chicago's 48th Ward — and on the weekends, I make records.
Patrick Diamitani · Chicago, IL
Every property under Diamitani Industries runs on the same production discipline — from enterprise AI to original music.
Enterprise AI production. 16 production systems, 54 Claude skills, consulting, 12 ventures, published research, and full career context — all in one place.
Open the portfolio →Holding company & venture studio — build, partner, invest. AI training, token usage, legal/ops.
Meet the holdings →Visual albums, comedy, photography — including 12!30.
See the work →Original music as Pat Dia — Sunshine to Deep, more in the studio.
Press play →AI software development through Gency AI. GTM AI, automation, and RevOps through SalesGency.
Agents, skills, prompt libraries, and production web apps — from SOP to shipped system, with adoption built in.
Outbound engines, CRM workflows, attribution, and RevOps systems revenue teams can run every day.
Twelve active ventures across AI software, GTM consulting, consumer products, creative platforms, and civic tech. Same production standard across all of them.
AI software development — agents, apps, and in-house AI capability.
gencyai.com →GTM AI, automation, and RevOps consulting for revenue teams.
salesgency.com →150+ custom GPTs across programming, productivity, sales, creative, civic, and lifestyle.
Browse the marketplace →AI-powered credit repair that guides users through identifying and resolving credit profile issues.
creditfixer.vercel.app →AI messaging assistant that rewrites impulsive or emotionally charged texts — preserving your voice, improving your message.
replaiall.com →Coworking space directory — find, compare, and book from 7,000+ locations across 1,100+ US cities.
huddleco.work →AI fitness app with personalized workout plans, curated classes from social video, and accountability partners.
trainlola.com →Music business tools and AI agents that turn independent artists into entrepreneurs.
artispreneur.com →Electronic press kit platform for independent artists.
artistsepks.vercel.app →Civic intelligence platform for Chicago's 48th Ward.
your48.vercel.app →Founding partner — 1,000+ shows for 80,000 students, $2M yearly revenue.
Full directory with descriptions and live links — at diamitani.com/portfolio.
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