Build · Deploy · Assure

About Frank Sellhausen

Former Fortune 50 AI/data product leader. Former regulator. Builder and operator. Building AI deployment systems for work that has to work.

Operating method

  1. 01

    Build

    Scope and construct the workflow

  2. 02

    Deploy

    Install it in real operations

  3. 03

    Assure

    Prove it keeps working

AI amplifies the system it enters.

The quality of an AI deployment is determined by the quality of the system it enters — the processes, governance, accountability, and operational discipline surrounding it. That is what we build.

Background

A career built across the full lifecycle of AI — from strategy to production to governance.

Fortune 50 AI/Data Product Leadership

Led AI and data product strategy at one of the world's largest organizations — shipping production systems at scale, navigating governance, and translating executive priorities into working technology.

Regulatory Experience

Served in a regulatory capacity, building firsthand understanding of the compliance, accountability, and trust requirements that govern production AI in regulated environments.

Builder & Operator

Built and shipped real products — not decks. From MVPs to enterprise systems, every engagement draws on hands-on experience designing, deploying, and operating AI-powered systems.

Practical AI Writing

Publishes regularly on the realities of AI deployment, the gap between prototypes and production, and the systems thinking required to make AI actually work.

The Ecosystem

One method. Three audiences. A connected system for AI deployment.

Sellhausen AI Systems serves three distinct audiences — solo builders, owner-led businesses, and regulated enterprises — because AI deployment challenges are universal. The scale changes. The stakes change. The discipline does not.

BuildersPath helps solo builders validate ideas and ship real products. Workflow Systems deploys AI into live business operations. Deployment Assurance builds the governance and trust infrastructure required for production AI in regulated environments.

Every engagement follows the same method: Build. Deploy. Assure.

What Makes This Different

  • We build systems, not slide decks. Every engagement produces working infrastructure.
  • We operate across the full spectrum — from solo builders to regulated enterprises — because the discipline is the same.
  • We have been on all sides of the table: builder, operator, regulator. That perspective shapes everything we do.
  • We measure success by what runs in production, not what looks good in a pitch.

Next step

Let us talk about what you are building.

Whether you are exploring AI for the first time or deploying it into regulated production, a conversation is the best starting point.

Start a Conversation