Sheet 1 of 1 — AI operations for founder-led teams — scale: lean
Stay lean.
Hire more people.
Outgrow your headcount.
Rev. note: growth used to mean hiring. Now it means agents.
Underdog drafts and builds the AI layer of your business. Working agents that fill the empty seats on your org chart, run your scorecard, and give you back your highest-value hours. Built with you in the room, not handed off.
Growth used to mean hiring. Now it means agents. The teams that get this are punching two weight classes up. The teams that don't are bolting ChatGPT onto broken processes and calling it strategy.
- A ChatGPT subscription nobody built a system around
- An AI strategy deck that handed you homework
- Processes documented in Google Docs that nobody executes
- A founder still pulling every number by hand on Monday
- Agents holding real seats on your accountability chart
- A scorecard that pulls and surfaces its own numbers
- Top processes that execute themselves, not just exist
- A founder working the hours only a founder can work
The company that should have fifteen people runs on five.
Your accountability chart, after. Humans in the seats that need judgment. Agents in the seats that need consistency. Autonomy is earned in phases, so nothing runs unsupervised before you trust it.
One ladder. Every rung ships something.
Every engagement starts with the Audit. You keep the roadmap either way.
The Buyback Audit
Map where your team's hours actually go and which seats sit empty. Leave with a sequenced roadmap of what agents take over first.
The audit → 02The Build Sprint
90 days of concentrated building. Fill the empty seats, automate the scorecard, turn your top processes into agents that run.
The sprint → 03The Fractional AI Ops Seat
After the Sprint, I keep the seat on your chart: monitor everything running, optimize it monthly, and ship the next agent. Your systems compound instead of aging.
The seat →Most AI consultants hand you a deck. I build the system and run it with you.
I'm Lauren. I've spent 15 years inside lean companies holding the seats you're stretched across right now: operations, customer experience, marketing. I ran a digital education company as COO. I know what Monday morning actually looks like when the founder is the bottleneck.
Then I spent 2,000+ hours building with AI. Not reading about it. Building agents, automations, and the operating layer that makes them useful. The 15 years tells me what to build. The 2,000 hours means I can build it.
- 15 yrs
Operations, customer experience, and marketing seats inside lean, founder-led companies.
- 2,000+
Hours building with AI. Working agents and systems, shipped and running.
- 1 seat
You work with the person who builds. No account managers, no handoff to a dev shop.
"Everyone has the same AI. The only thing that makes it useful is context. Setting up that layer is the job."
For solo operators & early founders
Not running a team yet? Book a session.
A one-on-one strategy session for solo operators and early founders building an AI-native business from the start. You bring your business and your questions. You leave knowing exactly where AI fits and what to build first, not a stack of tools to go research.
- →A clear follow-up plan your database would feel
- →A content approach that sounds like you wrote it
- →The one workflow to automate first
- →A straight answer on what to ignore
What does an AI operations consultant actually do?
Redesigns how your business runs so AI agents do real work inside it: pulling numbers, following up with customers, executing processes. The deliverable is a running system, not a strategy deck. I audit where your team's hours go, build the agents, and stay in the seat to run and improve them.
How is this different from hiring an AI consultant or an automation agency?
Most consultants advise and leave you to implement. Most agencies build tickets without understanding your operation. This is both jobs in one seat: 15 years of operating experience to decide what to build, 2,000+ hours building with AI to ship it. No handoff, no homework.
What size company is this for?
Founder-led companies roughly $1–5M in revenue that run lean on purpose, where the founder has become the bottleneck. If you have no in-house AI capability, that's the sweet spot: Underdog becomes your entire AI function. Solo operators can start with a mentor session.
Do I need to be technical?
No. This is built for teams that are AI-curious, not AI-native. Every system ships with plain-language documentation and your team trained to run it. Agents earn autonomy in phases, so nothing runs unsupervised before you trust it.
What's the first step?
The Buyback Audit. Two weeks, $5,000. You get a map of where your hours go and a sequenced roadmap of what agents take over first. You keep it whether or not we build together. Book a discovery call to start.
Founding clients
In 18 months, AI-native won't be an edge. It'll be the floor.
The first cohort of founding clients gets founder rates and direct access while the case studies get written. That window closes when they're written.