Install an AI employee.
Give recurring work a job description, a home, and a review rhythm. Start with one useful role inside the business you already run.
Let’s talkAI IMPLEMENTATION / NEW YORK CITY
Practical AI implementation and team training for operators across New York City’s five boroughs.
YOUR OPERATION, YOUR CONTEXT
Across New York’s agencies, service businesses, and community organizations, a full calendar can leave little time to evaluate another tool. I start with a concrete role and a clear output so you can see how the setup fits into the business you already run.
Prospect research, client meeting preparation, and recurring reporting are possible starting points. We define the inputs and review standard together, then build around the tools your team uses.
WAYS TO WORK TOGETHER
Give recurring work a job description, a home, and a review rhythm. Start with one useful role inside the business you already run.
Let’s talkHelp your team learn to brief, inspect, and improve AI-supported work. Build practical habits around the tools and responsibilities they already have.
Let’s talkMake AI concrete for your community. Working examples, plain language, and a conversation grounded in the questions people actually bring.
Let’s talkTHE OPERATOR BEHIND IT
I help operators build capacity with AI employees and train the people who lead them. Through CubiCrew, we start with a real role, a dedicated working setup, and a review rhythm your team can use.
We agree on scope, hardware, connected services, and timing together. The first conversation is about the work you need help carrying.
Get to know meStart with one recurring job: preparing a weekly brief, researching prospects, organizing incoming requests, or drafting follow-ups. We look at your actual workflow, choose a useful first role, and define what good work looks like before building it.
You need to know your business and be willing to review the work. I help with the setup, job description, working instructions, and review habits. Team training is part of helping the system become useful in your day-to-day operation.
With an owned-hardware installation, the computer and local working files belong to you. The setup can still use paid AI models and connected cloud tools. We agree on those services, data access, costs, and permissions before the install. Owning the hardware does not automatically make every part of the workflow local.
You and your team remain responsible for review and decisions. We define permissions, approval points, and a regular review rhythm around the role. The aim is useful delegation with clear boundaries and human judgment.
Email me with one recurring task that takes more of your attention than it should. We will arrange a conversation about the work, the people involved, and whether an installation, training, or another next step makes sense. Scope and timing are agreed together.