AI workflow and GTM systems

Marketing and GTM systems leader building AI workflows with human control designed in.

I turn operating friction across marketing, RevOps, and GTM into inspectable systems. AI prepares and explains the work. People decide what gets sent, published, or changed.

AI prepares

in progress

Draft, not sent.

Review boundary

held

Nothing crosses this line automatically.

People decide

committed

Send. Publish. Change the record. Or do nothing.

Operating rule

Automation prepares the decision. It does not quietly become the decision.

Scout

Claude qualifies signals and prepares a reviewable brief. Scout cannot post, comment, connect, or message. A person decides what happens next.

Track App

An AI-generated day summary remains an editable draft until a coach approves it. The published record keeps both model and approver provenance.

Supporting example on GitHub

This approval pattern belongs to Scout and Track App. Scoped Research Agent and SignalFlow solve different evidence and analysis problems and do not use an analogous approval gate.

How work moves

Start with the operating problem. Make the boundary visible.

  1. 01

    Find the friction

    Start with the stalled decision, repeated handoff, or invisible risk. The tool comes later.

  2. 02

    Design the system

    Define what the workflow may see, what it may change, and where a person must take over.

  3. 03

    Build the useful path

    Ship the narrow path that removes real work before adding breadth or polish.

  4. 04

    Prove the limits

    Test the happy path, the refusal path, and the boundary that should never be crossed.

Career throughline

Marketing and GTM leadership shaped by company launches, spin-offs, acquisitions, and the work of carrying a brand and pipeline through change.

Read the career story

Start a conversation

If the work sits between a GTM problem and a system that should exist, we should talk.

Contact Scott