Cornerstone Group applies generative AI and agentic systems to the work that usually takes headcount — building software, answering customers, running operations. Our platform, Agent OS, builds the software and runs the business behind every company we own. And we install the same model inside other businesses to transform how they run.
Controlled studies now measure what generative AI does for real work: more output, done faster, often at higher quality. Agentic systems chain those gains into work that actually gets done — supervised, recorded and repeatable. The leverage is greatest where overhead is heaviest relative to the size of the team.
Most small companies run through one person. We replace owner dependence with documented, auditable operations before the sale.
Intake, follow-up and the daily admin run on their own, so the owner makes the decisions instead of taking every call.
One founder, no outside capital: agents build, test and ship the product and run the operations around it. Cornerstone Group is our own test of that premise.
It is our lever: the reason a company here doesn't need a department for every function. Every Cornerstone company runs on it — and so does Cornerstone Group itself. A new company inherits all five functions on its first day.
Describe the outcome. Agent OS turns it into planned work and coding agents build it — with the engineering and DevOps a team would normally staff built in: testing, review, deployment and monitoring. The founder approves what gets built and accepts what ships.
Leads are answered in minutes and followed up until they book, each one traced back to where it came from. Our growth engine extends this to running the campaigns that bring them in.
Work is broken into owned tasks, monitored as it runs and reported without anyone asking. The routine runs on its own; exceptions go to a person.
Billing, payments, collections and reporting run as supervised workflows, with every dollar traced from the first invoice to the books.
Goals become initiatives, initiatives become approved plans, and every decision is recorded with who made it and why — the discipline of a chief of staff, built in.
Each one was built by Agent OS and is run on it. Each solves one operating problem for owner-operated service businesses — and becomes a component we can bring to the next engagement.
When the owner can't pick up, Second Line texts the caller back within minutes, learns what they need, and sends the owner a clean summary — so no job is lost to a missed call.
Paid acquisition run end to end: campaigns in the owner's own ad accounts, tracking from click to booked revenue, and intake and follow-up that run without the owner.
The model behind our companies isn't limited to them. We install Agent OS and the way we operate inside an existing business, and transform how it runs — whatever the industry.
Whether the goal is a sale, room to grow or simply a saner week, the work is the same. Nothing is switched on without the owner's approval, and nothing is reported as done until it is.
Map how work really moves: where it waits on the owner, where revenue slips, and where the hours go.
Deploy proven components from our own companies, each with one bounded job, on a single operating platform.
Run the new layer alongside the team. Agents propose, people approve, and every action is on the record.
Keep it running for an owner who is staying, or hand over documented, auditable systems ready for diligence.
Businesses where the work has outgrown the team, or still runs through the owner.
Leaders who want our platform and operating model installed in their company to change how it runs.
Buyers and searchers who want small companies modernized after close.
Advisors whose clients would sell more cleanly with owner-independent operations.
Wade builds products and systems that turn data into decisions. For more than 13 years he has worked where data platforms meet the organizations that run them — starting in product operations, running critical processes across large teams, then leading product for data-collaboration and advertising-activation platforms.
He was at Datalogix from its startup years through its acquisition by Oracle, then led product as a senior director across Oracle Data Cloud and Oracle Health — building strategy with marketing, sales and engineering at the table rather than handing work downstream. Agent OS applies that same discipline — clear operating models, explicit decisions, accountable owners — to a company of one.
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