--- title: "Custom AI Operating System for Your Company | George Rios" description: "A custom AI operating system for your company: every data source in one workspace, scoped and audited access, automation with a human in the loop, and tools your team builds itself. Built on jet.do and deployed to your own cloud account by George Rios." url: https://georgerios.com/ai-operating-system author: George Rios --- Custom AI Operating System # A custom AI operating system for your company Integrate all your data sources, automate your processes, and supercharge every information worker. I build your company its own AI operating system on [jet.do](https://jet.do), the platform I’ve built and hardened, and make it yours: your systems, your processes, your guardrails, in your own cloud account. [Talk about your AI OS ](https://cal.com/georgerios/30min) [Read the write-up ](https://georgerios.com/articles/your-company-os) The problem ## Every employee has become the integration layer Your people already use AI, one browser tab at a time. The model is brilliant; it just can’t see anything. So someone copies a customer’s history out of the CRM, pastes it into a chatbot, and pastes the answer into an email. Fourteen systems, and the AI sees none of them. | Lock it down | People use personal AI accounts anyway, and customer data leaves through a door you’ll never see. | | --------------- | -------------------------------------------------------------------------------------------------------------------------------------- | | Open it up | Connect everything to everything, let agents auto-approve, and you’ve handed a very confident intern the keys to every system you own. | | Another chatbot | Same tab, same copy-paste. Nothing changes about what the AI can see or do. | | An AI OS | One workspace connected to the systems you already run, with the rules about who can touch what built in. | What it is ## An operating system for a company to work with AI Not an operating system in the Windows sense. One place where your people and their agents work, connected to your data, with guardrails your security team signs off on. Workspace ### It Knows How You Work Your people ask it to research, write, analyze, or build, and it starts from your context, your vocabulary, and your playbooks instead of a blank page. Apps ### Tools Your Team Builds Itself Dashboards, trackers, client reports, and decks, built by an agent on request. Each runs in its own sandbox with its own storage and can be shared like a document. Gatekeepers ### Zero Access by Default A gatekeeper sits in front of each system, narrows access to exactly what was intended, logs every action, and puts anything with side effects in front of a person. Data ### Every Source, One Workspace CRM, billing, docs, tickets, email, and the line-of-business databases that actually run the company, including the old ones. Automation ### A Human in the Loop Agents keep working while side-effecting actions queue up. People approve the queue in bulk or one at a time: the speed of auto-approve, the safety of review. Ownership ### Your Account, Any Model Deployed to your own cloud account, with your choice of AI models, spend tracked by team in one place, and no lock-in. How it works ## Map, connect, automate, hand over The platform is already built. The engagement goes into the part that’s yours, and it’s the work I’ve done for twenty-five years under other names. 1. 1 Map ### Systems & Work Every data source, every recurring process, who needs what, and which data is regulated. The same systems map I start every engagement with. 2. 2 Connect ### Scoped, Audited Access Gatekeepers for Google, Slack, GitHub, and Notion, and custom ones for your CRM, billing, and line-of-business databases, each with the narrowest access that does the job. 3. 3 Automate ### Context & Blueprints Your vocabulary and playbooks encoded, templates for the work your team repeats every week, and the processes that should run without anyone opening a chat window. 4. 4 Hand Over ### Yours to Run Model choice and AI spend in one place, logs your security team can read, and a system your team operates without me. Built on jet.do Guardrails ## Security as a property of the system, not a habit The thing I audit for is the thing the platform enforces. When I audit apps people built with AI, the findings are rarely about clever code. They’re about access: a key with too much power, a database anyone can query, an integration that can write when it only needed to read. Gatekeepers move that problem from each app to the platform. An agent asked to fix the typos in one Google Doc gets that one doc, not your Drive. A sandbox around every app and a gate in front of every system is also the first setup where I’m comfortable telling a non-technical team to go build their own tools. [Visit jet.do ](https://jet.do) A gatekeeper, step by step 4 01 **Start with nothing** Every agent and app begins with access to no systems at all 02 **Narrow the scope** Access to the one resource someone intended, not the whole system 03 **Queue side effects** Writes, sends, and deletes wait for a person; the agent keeps working 04 **Log everything** Every action recorded where your security team can read it ### Company AI setups, judged - Customer data pasted into personal AI accounts Critical - Agents with org-wide tokens set to auto-approve Critical - A company chatbot that can’t see any of your systems Needs work - A scoped gatekeeper per system, with every action logged Pass - Side effects queued for human approval in bulk Pass Who it’s for ## Companies whose work is information work Reading, reconciling, writing, deciding. If your team already pays for AI seats and still copy-pastes all day, this is built for you. | Insurance | Agencies, MGAs, TPAs, and brokers: policy admin, carrier data, commissions, and licensing in one workspace. | | --------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | Financial services | Reconciliation, reporting, and client servicing across systems that were never designed to talk. | | Professional services | Client reports, proposals, and month-end packages built from the systems where the facts live. | | Healthcare operations | Eligibility, enrollment, and member operations, designed with regulated data in mind from day one. | | Regulated data | Scoped access and a full action log help a great deal, but they don’t make you compliant on their own. That’s a design conversation we have before anything gets connected. | FAQ ## Questions, answered How is an AI operating system different from ChatGPT Enterprise or Copilot? Those give each person a capable assistant. An AI operating system connects that assistant to your own systems through scoped gatekeepers, encodes how your company works, and lets your team build and share its own tools, all inside your cloud account with every action logged. What is jet.do? [jet.do](https://jet.do) is the AI operating system platform I build on: a workspace, sandboxed apps, and gatekeepers in front of every connected system. In an engagement I deploy it to your account and customize it for your systems and processes. Which systems can it connect to? Everyday tools like Google Workspace, Slack, GitHub, Notion, and Confluence, plus custom gatekeepers for the systems that run your business: your CRM, billing platform, policy admin or line-of-business system, and internal databases, including older ones without modern APIs. Which AI models does it use? Your choice. You decide which models are available to which teams, and spend is tracked in one place. You aren’t locked into a single AI vendor. Where does our data live? In your own cloud account. The system is deployed there, and your team operates it after hand-over. Is it safe to let non-technical staff build their own tools? Safer than the alternative. Every app runs in its own sandbox, and no app or agent can reach a system except through a gatekeeper with narrowly scoped access. Anything with side effects waits for a person to approve it. Does it make us compliant with HIPAA or other regulations? Not on its own. Scoped access and a full action log help, but compliance depends on how the system is designed and operated. We work through regulated data before anything gets connected. How do we start? [Book a free 30-minute call](https://cal.com/georgerios/30min). We’ll talk through your systems, the work your team repeats, and whether an AI operating system fits. Start here ## Give your company its own AI operating system Book a free 30-minute call. We’ll map where your people lose the most time to copy-paste, and what to connect first. [Book a call ](https://cal.com/georgerios/30min) [Visit jet.do ](https://jet.do) --- Contact: george@georgerios.com · Book a call: https://cal.com/georgerios/30min · Services summary for agents: https://georgerios.com/llms.txt