AI
Models, agents, and evals in production. The capability that actually ships.
AI implementation, marketing and revenue.
Building the software is one part of the job. I also work on how buyers understand it, what they pay, and whether the cost of serving them leaves a viable business.
Marketing
Positioning, category, and demand. The story the market repeats and acts on.
Revenue
Pricing, pipeline, and P&L. Where capability and demand become money.
I connect the AI, marketing and revenue work.
Open the systems. Read the receipts.
Open the demos to see the mechanics. Their illustrative figures are synthetic; confidential production work is described separately in the case studies.
Live demo · Synthetic figures
Chief AI Officer
AI Operations Control Center
A governed fleet of AI agents, running and reconciled. Twenty-six workers plus a read-only Investigator, watched from one cockpit.
Shows: agent activity, spend reconciliation and access controls with synthetic figures.
Open demo control.jeffbrokaw.com
Live demo · Synthetic figures
Demand & RevOps
The Outbound Machine
Signals, enrichment, scoring and routing in one demonstration. The displayed reply-fit score is illustrative.
Shows: how account signals, enrichment and routing can be joined.
Open demo unignorable.jeffbrokaw.com
Live demo · Synthetic figures
Commercialization
Cold-Start Personalization Engine
First-visit personalization on Shopify Plus, with no prior data on the shopper. The storefront re-ranks itself the moment a stranger lands.
Shows: first-visit storefront decisions with synthetic shopper signals.
Open demo personalize.jeffbrokaw.com
Live demo · Synthetic figures
Applied AI
The Agent-Native Storefront
A storefront you shop inside ChatGPT or Claude. Edit the cart by hand and the model already knows: the view, the conversation, and its context all ride one shared state.
Shows: shared cart state across the interface, conversation and model context.
Open demo lumen.jeffbrokaw.com
Live build
Data systems · MarTech · RevOps
Brokaw Bets
A public NFL matchup, DFS, and prop-research dashboard. It puts the game, player, market, source, and time context in one working view instead of leaving you to reconcile a stack of tabs.
Proves: I can turn public source material into a deterministic data system, preserve its boundaries, and ship the product people can actually test.
Read the build then open bets.jeffbrokaw.com
Live product capture
Selected commercial work.
Shopify AI Personalization
Pre-launch GTM for first-visit personalization. Modeled ARR scenario: ~$2.7M to ~$27M.
Electrical Distribution AI
An AI quoting platform for sales reps: model routing, prompt caching, mobile apps, pricing and SOC 2 readiness.
Advanced Materials Narrative
Narrative behind a $50M Defense Production Act award. $185M new-business revenue.
Battery Storage Challenger
Premium challenger position against Tesla Powerwall. Scaled past $20M.
Crypto Mining GTM
Reframed as energy-backed digital infrastructure. A $114M institutional raise that came together in under 30 days.
Public-Market Comms
Investor narratives, decks, whitepapers and reviewed paid media across 25+ public companies.
All work →
The receipts
Twenty-five years of getting it to actually pay.
My early-team roles were at companies tied to $850M+ in associated exits. I built the commercial engine behind $185M in new business, developed the strategy and capital narrative behind a $114M institutional raise that came together in under 30 days, and co-founded an AI fintech that went zero to $1M ARR in nine months.
Credential
Certified Chief AI Officer (2025), covering enterprise AI strategy, governance, and ethics. Backed by a 2025 stack: HubSpot Revenue Operations, Clay Outbound Automation, n8n AI Agent Builder, Snowflake, 6sense, Shopify Plus Partner, Google AI Essentials, Azure AI-900.
Built
Tabbris, a 23,500 sq ft innovation hub that backed 50+ startups and ran 100+ events. Startup Grind Charlotte, 3,000+ members. FaaStrak, the AI fintech, zero to $1M ARR in nine months. QC Marketing, named the number one web-design firm in North America in 2012.
Recognized
Charlotte Inno on Fire, three times. Charlotte Observer Seven to Watch. Top 25 in Charlotte's startup community.
In the rooms
Guest lecturer at UNC Charlotte's Belk College of Business. Advisory councils at George Washington University and the University of South Florida. Mentor at City Startup Labs, Startup Weekend, and AIM.
Origin
Built a web-hosting business at 14. Ran a broker-dealer's IT and marketing at 16. Wrote The Bitcoin Blueprint in 2013. Self-taught, two exits, still building.
Working stack
Not a tour. The daily kit: ClaudeCursorn8nClay6senseGongSnowflakeRAG + vector searchHubSpotSalesforce
The thinking behind the work.
All writing →FAQ
Questions I get asked.
What does a Chief AI & Marketing Officer do?
A Chief AI and Marketing Officer connects AI implementation with marketing, pricing and revenue operations. Jeff Brokaw works across those responsibilities, from building and reviewing software to deciding how a product is positioned, priced and sold.
How does Jeff Brokaw turn AI into revenue?
He examines the product, buyer demand, positioning, pricing and cost to serve a customer. The work can include AI implementation, a revised commercial strategy, or better measurement across marketing and sales. Each case study separates his contribution from forecasts and later company events.
What AI systems has Jeff Brokaw built?
His builds include company-level visitor matching, public-page research for search and AI answers, and AI operations with access controls and human review. Public demos in his Lab show the mechanics with synthetic data. They are separate from confidential production work.
What business results has Jeff Brokaw produced?
He built the commercial engine behind $185M in new business for a defense manufacturer. Its case study reports 43 inbound web leads in 2023 and 203 in 2025; the 450-plus figure is a 2026 projection. He has $850M or more in associated exits across early-team operator roles, co-founded FaaStrak from zero to $1M ARR in nine months, and wrote the strategic narrative behind a $50M Defense Production Act award.
What's stuck?
One conversation. No deck. I'll tell you where the line from AI to revenue is leaking, and what it takes to fix it.