What is forward-deployed AI engineering?

It is embedded AI implementation work for revenue teams: identifying high-value GTM workflows, connecting real business systems and data, building production AI workflows, measuring quality, and helping the team operate the system.

What kinds of workflows do you build?

Common workflows include lead enrichment and scoring, routing, CRM updates from conversations, sales research, personalized outreach drafts, support triage, customer intelligence, and internal revenue operations automation.

Can you work with frontier models, open-source models, and n8n?

Yes. The work can include OpenAI and Anthropic models, Claude Code, OpenAI Codex, eval systems, open-source or self-hosted model paths, and cloud-hosted or self-hosted n8n automation environments with training and operating playbooks.

How much does it cost?

The AI GTM Deployment Diagnostic is typically $10k-$15k. Build Sprints are typically $40k-$85k. Embedded AI Revenue Systems retainers are typically $15k-$30k per month with a three month minimum.

Do you build the systems yourself?

Yes. The work is hands-on and embedded. I design, prototype, build, evaluate, and deploy the first workflows, then leave your team with the operating pattern and playbooks to keep scaling.

What kinds of companies are a fit?

The best fit is a B2B company with a meaningful GTM team, messy CRM/customer data, and real pressure to turn AI experiments into production revenue workflows.

Blog

Notes on AI strategy, team enablement, and the future of work.

April

Use technographic data to qualify accounts before your reps waste a single call

Firmographics tell you the company fits on paper. Technographics tell you whether they'll actually buy your product. Here's how to turn tech stack data into a qualification signal that routes the right accounts to your pipeline.

Blog

2026

April

Use technographic data to qualify accounts before your reps waste a single call

The Three Kinds of AI Work Your Company Is Actually Doing

Why the ROI Framing Kills Good AI Projects

What Responsible AI Actually Requires Operationally

Job postings are your best free source of buying intent — here's how to use them

The AI Literacy Gap Is a Leadership Problem

How to Scope an AI Project Before You Quote It

The Staffing Model for AI Is Broken

Build a competitor analyzer that keeps your CRM honest

The Six Things Every AI Strategy Document Should Answer

How to Think About AI Risk Without Paralyzing Your Team

What I Look for in the First Week of an AI Engagement

Agents vs. Automation: How to Know Which One You Actually Need

How to Write an AI Job Description That Attracts Real Talent

The Fractional AI Model: Why It's Replacing Full-Time AI Hires

Build an email sequence writer that actually sounds like you wrote it

What a Good AI Proof of Concept Looks Like

How to Train Your Team to Use AI Without Making It Mandatory

March

Judgment Work Is Safe (For Now)

Build an objection handler that knows the deal before your rep does

What Good AI Governance Looks Like for a 50-Person Company

How to Run an AI Sprint in a Non-Technical Company

The Difference Between an AI Feature and an AI Product

Stripe Projects: Agents Can Now Provision Their Own Stack

Why Smaller Companies Have an AI Advantage Right Now

Build a data cleaner that stops your GTM workflows from eating garbage

The Questions to Ask Before Any AI Vendor Demo

What "AI-Native" Actually Means for a Product Team

How to Get Your Exec Team Aligned on AI

Build a LinkedIn profile analyzer that knows who to prioritize

The Hidden Cost of Not Having an AI Strategy

When to Build vs. Buy AI (The Framework I Actually Use)

Why AI Projects Need a Product Manager, Not a Project Manager

The Stack a Modern AI Strategy Actually Runs On

Build an AI-powered ICP scorer that handles the fuzzy stuff

AI ROI: Why Most Companies Measure It Wrong

How to Pick Your First AI Use Case

What I Tell Every Company in the First Meeting

Build a personalization writer that actually sounds human

The Difference Between an AI Strategy and an AI Plan

The Rise of Agent-Centered Design

Why Your AI Pilot Failed (and How to Fix It)

Build a company research agent that replaces 12 open tabs

The AI Audit: What to Do Before You Build Anything

Your First 90 Days with an AI Strategy

From SDR to GTM Engineer: The Career Shift That's Already Happening

How to Evaluate an AI Consultant (Without Getting Burned)

The Case Against Hiring a Full-Time Chief AI Officer Too Early

What a Fractional Head of AI Actually Does

When Agents Outnumber Humans

Business Flywheels: Use AI to Autonomously Improve Performance

Humanoid Robots for Software: Why Agents Don't Need Your API