Operators who diagnose and build
We study how the operation runs, find where AI can move a number that matters, and build the fix alongside the people who will use it.
AI worth building
AI commoditizes ideas and execution.
The earned judgment about which problems are worth solving, and how to solve them correctly — that's what it hasn't.
Who we are
We've written value-creation plans, operated businesses, and built production AI inside the companies we run. We've worked together for 20+ years. With Fieldwork, we bring those experiences together and lead all projects end to end.
PE value creation
Jeff Surette
Led value-creation and strategic growth projects for dozens of private equity and corporate clients over a consulting and operating career spanning 20+ years. Scaled Tom Brady's TB12 from concept into a thriving multi-channel brand.
AI in production
Brett Memsic
Chief Product Officer at a venture-backed mental health platform. Built the AI operating layer the company runs on today, from the code to the buy-in. Drove PE diligence and value creation at Parthenon.
Operating reality
Tommy Ostendorf
Executive Director at BeachSports. Built the AI tooling that runs the operation end to end: scheduling, staffing, and communications for tens of thousands of coaches, campers, and parents.
How we work
Wherever we start, we work alongside the people doing the work, connect what we hear across teams to what the numbers say, and rank the builds worth pursuing.
Not every plausible AI use case deserves investment. We test each against the available data, operating workflow, economics, and guardrails before it moves into the build plan.
Then we scope the build →
We define the workflow, data, decision points, and guardrails before we build, then deliver working tools inside the business.
The same senior team stays accountable through the build. Data stays in the company's infrastructure, not ours.
Then we equip the team to run it →
The people who will run the system have been using and shaping it alongside us, so ownership does not begin at handoff. We document it, install the guardrails, and equip them to keep it running.
Ready to run without us.
Why Fieldwork
The people who find the problem are the people who ship the fix. No handoff between strategy and engineering. We built AI into our own businesses first; what we bring to yours is what worked.
Everything we deliver runs in your cloud, on your accounts, with access you grant and can revoke.
We scope the work tightly, put working software in front of the team early, and improve it against operating reality.
The test is not the quality of a recommendation. It is whether the system gets used, and whether the number it was built to move actually moved. We measure what we deliver.
Case studies
The work tends to fall into three P&L categories: revenue, cost, and capacity. Each example below began with an operating problem and ended with a working system.
Built for an entertainment company from public signal to help the sales team prioritize targets, improve conversion, and pursue higher-value deals.
Inside a venture-backed company one of our founders operates. Reports now write themselves; personalization runs in the product instead of on top of it.
The agents work from one shared context, so the output compounds. Every consequential decision stays human-owned.
Where we focus
Find demand the business should be winning and turn scattered signal into a ranked action plan.
Replace fragmented vendor spend without losing the function, and build the workflow inside the business.
Run valuable work the company otherwise cannot justify staffing, with a human still owning every consequential decision.
We wire the systems you already run (database, billing, events, CRM) into one layer any AI tool can read.
Start here
An initial conversation, no commitment.