Enterprise AI Commercialization Executive. The first production agentic AI deployment inside a Fortune 100 manufacturer — built to lead Forgd's GTM as Anthropic's most strategic deployment partner.
I've been at Salesforce for eight years. I've won four times. I'm at 220% this year. I'm managing a $70M portfolio with C-suite access at one of the most important manufacturing companies in the world. By every conventional measure, I should stay.
I'm not staying.
"There is a generational opportunity with these frontier model companies. Don't miss it." My father told me that watching Axon grow from a startup into a public company. I was a kid. I've been waiting for my version of that moment ever since.
This is it. Anthropic is the most important AI company in the world — not the largest, not the most talked about, but the most serious about building AI that actually works at enterprise scale with the kind of rigor that Fortune 500 companies require. The $100M partner network launched six weeks ago. The Claude Marketplace launched last month. The partner team is scaling 5x this year. The window is open right now — and in 18 months it won't be.
Forgd is the only firm positioned to be Anthropic's definitive manufacturing and industrial deployment partner. Paul and Peter built the playbook for this at Salesforce and ServiceNow. Morten built Heroku — he understands what it means to give developers and enterprises a platform that just works. And nobody else in the market has what I have: a live production agentic AI deployment inside a Fortune 100 manufacturer, with the C-suite relationships to replicate it at scale.
The question I ask myself is simple: in five years, will I wish I had made this move? The answer is obvious. The harder question is whether I'm willing to leave the comfort of a $70M portfolio and a guaranteed quota to go build something from scratch.
I am. The Regrello lesson taught me that enterprise AI fails when it's owned by IT and succeeds when it's owned by the business. Forgd's entire model is the antidote to that failure mode. I've lived both sides of it. I know exactly what it takes to get from pilot to production in 8 weeks — and I know the C-suite relationships that make it happen. That's not something you can hire from a consulting firm or train on a certification. It's two years of work inside the hardest enterprise in the world to sell AI to.
Paul — you've built GTM machines before. You know what it looks like when someone walks in with real pipeline versus a pitch deck. CAT is live. The C-suite is aligned. The reference architecture is real. The ecosystem is activated. I'm not asking Forgd to bet on potential. I'm asking Forgd to bet on a track record that already exists.
I grew up in Scottsdale, AZ, having moved from California as a kid. My father was involved in helping start Axon — then called Taser — one of the defining technology companies to come out of Arizona. What he told me watching that company grow has stayed with me ever since: frontier model companies represent a generational opportunity. The people who get in early, who understand the technology deeply enough to translate it into business outcomes, build careers and wealth that compound for decades.
I've carried that framework into every career decision since. It's why I've stayed on the cutting edge at every stage — startup to SAP to Salesforce — and it's precisely why Forgd and Anthropic represent the most important opportunity I've seen since my father made that call in Scottsdale.
Enterprise AI is a relationship business. The best operators are whole people — grounded outside of work, with genuine networks and real lives. Here's Bryan off the slide deck.
Multi-agent orchestration in live supply chain. $1B AI thesis secured at C-suite. 200+ use cases prioritized. No other enterprise AI leader in the market has done this at this level.
"Delivered measurable enterprise impact including AI-driven service conversion uplift, digital labor cost reduction, and multi-year revenue expansion — referenced publicly by CEO during Investor Day."
Caterpillar account, FY25Launched March 2026. Bryan is deploying two of AI Foundry's three core pillars — A2A protocols and simulation environments — inside a live Fortune 100 industrial operation.
"The problems that matter most for businesses don't live at the model level anymore. They live at the system level, where components work together to deliver accuracy, consistency, and reliability at scale."
Silvio Savarese, Chief Scientist — Salesforce AI Foundry, March 26, 2026Salesforce AI Research developed agent cards and a multi-agent semantic layer — standardized protocols, guardrails, decision logging, and coordinated escalation that allow AI agents to interact across organizational boundaries without compromising security or losing their principal objectives.
A core finding: when two LLMs communicate, they fall into "echoing" — a feedback loop where agents abandon their principal's interests. The A2A semantic layer prevents this at the protocol level.
Salesforce's eVerse simulation environment stress-tests AI agents against thousands of edge cases before production — addressing "jagged intelligence," where AI fails unpredictably on simple tasks.
The most important thing I've learned about enterprise AI deployment — from living both the failure and the recovery on a $70M account.
"Every enterprise AI deployment that fails, fails for the same reason: it started as a business transformation initiative and ended as an IT project. The antidote is C-suite ownership, a business-defined use case, and a deployment partner who knows how to navigate both worlds."
Bryan Klint — lesson from the Regrello recovery at CaterpillarBuilt on Anthropic's $100M partner network, the Claude Marketplace, a consumption-first revenue model, and a production proof point no other partner can replicate.
"Anthropic is the most committed AI company in the world to the partner ecosystem — and we're putting $100 million behind that this year to prove it."
Steve Corfield, Head of Global BD & Partnerships, Anthropic — March 12, 2026The GTM function Bryan would build at Forgd — converting technical credibility into Fortune 500 pipeline and a repeatable enterprise motion.
Not a framework. Three phases, named relationships, and measurable revenue milestones. What makes this different: Bryan doesn't just bring accounts — he brings a full ecosystem. Board members who are CEOs of Fortune 500 companies. An AWS network through Nate Beske and Tim Meyer. USG's MENA reach. Salesforce's C-suite. Anthropic's GTM leadership. This is what unlocks Forgd's pipeline at a scale no other candidate can replicate.
This isn't a network. It's a GTM operating system — Fortune 500 CEOs, Salesforce DNA, AI infrastructure, healthcare, sports, and government.
Multi-agent systems with distinct roles, tool use, and coordinated output — running live on the Claude API. Enter your key below to activate.
Define a role, write a system prompt, add example prompts — and deploy a live AI agent in seconds. This is exactly what Forgd builds for enterprise clients: purpose-built agents configured for specific business functions and workflows.
Select 2–4 agents, give them a goal, and watch each agent execute in sequence — handing its output directly to the next. This is Forgd's production agentic architecture: coordinated, transparent, and production-grade.
Three modes. All powered by the live Anthropic Claude API — the same capability Forgd deploys for enterprise clients. This is the demonstration, not a description of it.
Get a free key at console.anthropic.com. Stored only in your browser — never sent anywhere except directly to Anthropic.
Ask anything about Bryan's background, career, the CAT deployment, the Regrello lesson, his board, or why this is the right fit for Forgd.
I'm briefed on Bryan's full background — the CAT deployment, AI Foundry work, the Regrello lesson, Forgd's GTM blueprint, and the Anthropic ecosystem. Enter your API key above to activate live responses.