Unify context - Agent Creation and Orchestration - Execution and Enablement

GTM Architecture, Implementation, and Advisory for the AI era

We help early-stage GTM teams build and deploy internal AI at scale.

15 years carrying B2B sales quota
GTM systems architect at multiple early-stage startups
Specialist in AI for GTM
how it works

GTM Agents, in three layers.

Context is scattered and siloed; we start by creating a unified context layer. AI Agents and Skills do the work in the middle. Sellers and Agents interact in concert, creating resources as output & sending updates back into the context layer.

Context/Input Layer
Salesforce logo CRM
Fathom logo Call transcripts
Granola logo Notes
Clay logo Intelligence
Slack logo Internal Comms
Snowflake logo Product
Agent Execution & Orchestration Layer
Claude logo Claude Cowork
or
Gemini logo Gemini
OpenAI logo OpenAI
xAI logo xAI
Output Layer
Claude logo Claude
Slack logo Slack
Microsoft Teams logo MS Teams
Mutiny logo Branded assets for customers
Gmail logo Gmail
Salesforce logo CRM

Top Agents your startup needs

Leveraging the right context at the right time in every step of the sales process.

outcomes

What changes when the system works.

01

Higher scale

New reps onboard in weeks, not quarters, because the playbook is built into the system. GTM scales without scaling headcount: agents absorb the repetitive work so every seller covers more ground. Agents come with best practices built in, so AEs don't have to focus on prompt engineering.

02

Faster execution

Pipeline moves faster, and every prospect gets a sharper, more consistent experience across every rep: researched calls, same-day follow-ups, and resources specifically built for their needs and buying journey, not recycled from the last deal.

03

Continuous Improvement

Your AI system observes what converts, learns from outcomes, and continuously improves targeting, messaging, sequences, and resource allocation. Customers get proactive, timely touchpoints that improve NDR. Your context layer stays updated. Things get better, not just busier.

process

How an engagement runs

Engagements run as 3-month retainers, no hourly rates. From there, we have options for ongoing enablement, development, and continuous improvement.

01

Diagnose

A short discovery sprint. I talk to your team and read the data to map how revenue actually happens today.

02

Design

We agree on the target system: what gets documented, what gets automated, what stays human. Scoped before anything is built.

03

Build

I do the work, in your tools, with your data, alongside your people. No deck-and-disappear.

04

Enablement

I train your team on the system directly: how it works, how to run it, and how to extend it. Everything is documented, so the knowledge doesn't leave when I do.

deliverables

Areas of Expertise

01 / Architecture

Context Layer Audit

A structured review of your context layer: sales funnel, tooling, and data. You get a written diagnosis and a prioritized list of what to fix first.

02 / Implementation

Agent & Skill Build

I design, build, and deploy the Agents, sub-Agents, and Skills themselves, orchestrated in Claude (or your Agent tool of choice), so the system actually does the work.

03 / Advisory

Rollout & Enablement

Those Agents get put to work where your team already lives, in Slack (or any execution layer tool of your choice). From there, I document the system and train your team to run and extend it at scale.

why fractional

Fractional is better when you aren't ready to hire a full-time RevOps/GTM Engineer.

Or you are struggling to hire one and need help today.

Full-time GTM hireFractional GTM
Time to start6–12 week searchDays
CostSenior full salary + equityScoped, fraction of the cost
Built system stays documentedDepends on the hireAlways, by design
Seller and builderUsually just oneBoth, for 15+ years
CommitmentFull-time, hard to unwindScoped engagement, renew or stop
about

Who is behind Fractional GTM?

Ben in the backcountry

Hi, I'm Ben. I've been stuck in some challenging situations, and I enjoy getting my boots dirty.

I've spent 15 years in B2B sales: carrying quota, leading teams, and living inside every CRM and outbound tool that's promised to fix pipeline since the 2010s. Almost all of it has been at early-stage companies, seed through Series B, where the GTM motion is still being figured out in real time.

Most recently I was the first US AE at Dust, an AI Agent creation and orchestration platform. I built internal Agents and systems, and worked with GTM teams at some of the world's fastest-growing AI-natives. Now I do this work independently, for more than one company at a time.

The through-line: I've sold, and I've built GTM systems. I've been building with AI for years. I've been based in San Francisco for 11 years, working from inside the startups this stuff is built for.

Ben's LinkedIn profile photo Connect on LinkedIn
faq

Common questions

Are you a GTM Engineer?+

No. I think of GTM Engineers as focused more on the data pipelines, especially in Clay, CRM, and the CDW. My focus is on GTM Architecture, Implementation, and Enablement. If you do want to connect with a Fractional GTME, I can refer you to a few options.

What size company is this for?+

Mostly seed through Series B: teams with some revenue and tooling, but GTM logic still lives in a founder's head.

Do you just advise, or do you build?+

I build. Advice is included, but the deliverable is a working system in your stack, documented, that your team can run without me.

How do engagements start?+

With a consult. We talk through where revenue is leaking, and I tell you honestly whether I'm the right fix. If not, I'll point you somewhere better.

next step

Ready to talk?

30 minutes, no pitch deck. Let's talk about messy GTM problems, and you'll leave with at least one thing to fix, whether or not we work together.