Build operations that compound
Chat with UsWe help companies scale sustainably by designing, building, and deploying AI-native operations systems.
The AI Operations Playbook
How to build a company that compounds
Our team has built AI operations systems for companies like:
Featured in
Built the AI Operations foundation to scale customer support capacity without adding headcount.
A Chief of Staff's Guide to AI Agents
AI agents are making a case for themselves in your organization that no operator should ignore.
Sawyer Middeleer
You grew. Your operations
didn't grow with you.
“I feel like a person at a switchboard in the 1950s.”
“I’m the roadblock.”“We’re always giving into hiring people and our team’s bursting at the seams.”
“It’s a script that I need to manually run at the end of the day.”
“I am the sole DRI for a ton of stuff right now. I need to delegate.”
“We have to take this domain knowledge that lives in different members of our leadership team’s heads and bring that forward.”
“It was that redundancy. Too many places. Making things more confusing when the goal was to make things more simplified.”
“I produce a bunch of stuff. It’s in a billion different places.”
“We’re operating very tribally at the moment. And folks are running things on their individual laptops.”
AI is an operations problem
Crossing the chasm from “we aren't getting much out of AI” to “our team is AI-native” comes down to 3 things
1A structured context system
Reduces AI mistakes and lets agents do more without you.
Your company's knowledge — facts, processes, decisions, standards — organized so an agent finds the right piece at the right moment instead of asking you to re-explain the business.
2Agentic process design
Makes the work faster and cheaper by giving agents the parts they do best.
Your processes redesigned around where agents are strong and where your team’s judgment matters, so both sides can perform at their best.
3Continuous feedback loops
Improves the system every week based on performance data.
A way to know the system is driving the outcomes that matter, so issues get identified and addressed and each change adds measurable ROI.
How we work
The Revi Systems methodology
Week 1–2
Diagnose
We map how work actually flows through your business and find where time, margin, and data are leaking.
Week 3–6
Build
We build the system - data, integrations, AI, and process - on the tools you already run, and measure it so you can see what's working.
Ongoing
Operationalize
We hand you the keys with the playbooks and training to run it yourself, or we stay embedded and run it with you.
Workshops
We teach what we practice.
Hands-on sessions that take operators from zero to building with AI agents — no engineering background required.
Claude Code for Generalists
Generalist World · Summer SchoolEverything from the workshop on one page — which Claude to reach for, how agents actually work, the prompting practices that get results, and how to lock down settings and security. Plus the project files and setup video to build along.
Fantasia — a safety checkup for Claude Code
Our free, open-source plugin finds exposed secrets and loose permissions in your Claude Code setup — and helps you fix them.
Newsletter
The Exponential Operator
Field notes for operators building with AI — what's actually working in production, what isn't, and the playbooks behind the wins.
Find out what's actually slowing you down
Book a 30-minute call. We'll talk through where the time is going - and if we're not the right fix, we'll say so.