Two weeks after go-live
“It is like having a chief of staff who never sleeps and already knows my whole business.”
Matt Krac
In fourteen days, the system had underwritten a $14M portfolio, drafted operating agreements from executed source documents, and filed and secured 465 loose documents.
Read the full engagement →Why an operating system, not a tool
Most AI work in mid-market companies is tools bolted onto existing chaos. A chatbot here, a copilot there, an automation someone built last quarter that nobody owns. The business gets a little faster in a few places and stays the same shape everywhere else.
You don’t buy AIOS. You install it.
The 5 layers
AIOS installs in layers.
Each one earns the next, and each one is useful on its own.
Context
Your strategy, team, processes, and client-handling structured so every system decision starts informed. When your COO asks AIOS to triage a client issue, it already knows which accounts are in renewal and how your firm handles escalations.
Data
Revenue, operations, and client metrics pulled from the sources your team already uses into one layer. When you ask how last month closed, the answer comes from the source, not from someone rebuilding a report.
Intelligence
Meetings, messages, and operational signals synthesized into briefs your leadership reads before the day starts. Your COO opens a brief that already pulled the client calls, the Slack threads, the ops flags, and the deals that moved.
Automate
Repeatable work scored, queued, and automated, with human approval where it matters. Money, clients, and people decisions stay gated behind a human sign-off. Data cleanup, status updates, standard reporting, first-draft responses, those run on their own.
Build
Once the load is off, your people have hours for the work that compounds, the product bet, the new service line, the bigger client. The AIOS keeps running underneath.
Your system, your assets
Client-owned by design.
You own the data, the workflows, and the voice models created for your business. We do not use client data to train third-party models.
Sensitive work does not move into a public LLM without explicit, documented guardrails. Access, approval gates, and model choices are part of the Blueprint, not an afterthought after Build.
What stays human
AIOS doesn’t replace judgment.
Strategy, client relationships, pricing, and people calls stay with you.
The system runs operations. You run the business.
The partnership shape
We work as named partners, not a freelancer marketplace. Who runs the firm. Compare the engagement models.
The install is a project. The run is a retainer.