Mike Elliott

AlphaForge USA

An agentic AI factory. We build custom AI agents and full AI implementations for any business vertical — voice intake, chat, outbound, research, back-office automation and the operations centers that hold them. Shipped into law, hospitality, land and real estate, and public markets, with a template library covering dental, HVAC and professional services.

Go-to-market is deliberately narrow while the platform is not. The named beachhead is Florida probate and estate-planning firms of 2–15 attorneys, because a regulated vertical with a specific compliance surface converts and retains far better than horizontal SMB. The agents underneath are general; the sales motion is not. That is a positioning choice, not a capability limit.

• Ship and operate client "ops centers": production Next.js applications combining AI voice intake, chat, case or job flow and pipeline reporting, deployed per client and paid for monthly.
• Authored the governance layer clients are onboarded against — an AI compliance standard, a legal-chatbot conduct standard, a security and safety control set, and a usage/cost governance regime.
• Built a single-source-of-truth architecture so brand canon, pricing and ICP live in one governed repository that every downstream agent and application reads, rather than drifting across codebases.

AI Profit Lab

Founded and built an educational platform teaching operators how to build and run AI agencies — the practical skill set for deploying AI agents into small and mid-sized businesses, from positioning and offer design through implementation and delivery.

• Built the curriculum and platform for a market that was, at the time, long on hype and short on anyone who had actually shipped.
• Sold to Appsoft Technologies in 2024 for an undisclosed sum, roughly eighteen months from founding.
• The teaching work became the operating thesis for what followed: the agency skills I was documenting are the ones AlphaForge now sells as a service rather than a course.

InvestorConnect AI

Founded and still operating. An investor-relations and compliance platform serving public companies, including the Agent Fortress product — AI governance and control tooling for organizations that must answer to regulators and shareholders for how AI is used inside the business.

• Productized compliance and governance for a buyer with genuine regulatory exposure, where an unsupported claim is a liability rather than a marketing problem.
• Built the IR delivery pipeline: SEC EDGAR ingestion, issuer and CEO prospecting, qualification against financial-data APIs, and sprint-based delivery.
• Runs as a separate brand with its own research and publishing surface, operating alongside AlphaForge rather than folded into it.

CEOLive

Left Merrill Lynch to build my own investor-relations consultancy and ran it for seventeen years — sold it, delivered it and built it, with no one else to hand any part of it to. I interviewed public-company CEOs and advised issuers on how to communicate with the market — through the 2008 crisis, the arrival of social media, and the shift of investor communication from press release to platform.

• Interviewed public-company CEOs at length, building a long-running body of issuer conversations and, with it, a working understanding of how the people who buy this kind of work actually think.
• Social media governance for public companies — compliance-aligned deployment of issuer channels at a time when a single post could raise selective-disclosure questions. This is the direct precedent for the AI governance work I do now: same problem, different technology.
• Ran the demand side for seventeen years. Every website, every organic social programme and every paid digital campaign across the client base was mine — strategy, build and spend. For issuers, where the audience is investors and every claim is disclosure-sensitive, which is a harder constraint to run growth inside than consumer marketing.
• Built and ran the technology myself. The hands-on engineering habit AlphaForge runs on was formed here, not recently — I have been shipping my own web properties since long before it was a differentiator.
• Owner-operator throughout: sales, delivery, technology and client relationships, with no one else to hand any of it to.

Financial Advisor — UBS Wealth Management · Merrill Lynch

Six years as a licensed Financial Advisor across two global institutions, holding Series 7, 52 and 63 while registered through these firms. Registrations lapsed after I left the industry in 2004 and are not currently active.

Client suitability, disclosure discipline and supervised communication — the direct antecedent of the claim-language controls I now write for AI agents in regulated practice.

United States Marine Corps

Six years active duty to Staff Sergeant (E-6) — accelerated by three meritorious promotions, with two meritorious masts for outstanding performance. Ammunition accountability under combat conditions: custody, inspection and issue of ordnance, where procedure is not paperwork. Completed my degree while serving.

This is where the rest of the page starts. Everything above it is the same instinct — operate precisely inside constraints that exist for a reason — applied to securities, then disclosure, then AI.

Florida probate and estate-planning practice operations — firms of 2–15 attorneys. Intake, matter flow, and the conduct rules governing AI contact with prospective clients, including unauthorized-practice and attorney-advertising constraints that determine what an automated system may say. Based in Orlando and selling into the Florida bar, so the buyers are local and reachable in person.

Twenty-four years of continuous involvement — advisor, then IR consultant, now vendor. Issuer communications and disclosure-sensitive content, social media governance under selective-disclosure constraints, EDGAR data, and AI governance for companies accountable to regulators and shareholders. I have sat on the advisor side, the consultant side and the technology side of the same table.

Economics and finance training, then six years in wealth management at UBS and Merrill Lynch. Client suitability, disclosure discipline, and the habit of treating a claim as something that has to survive review — the same reflex applied to what an AI system is permitted to assert.

Iowa State University