Naumio designs and builds practical AI assistants, workflow automations and small custom tools, starting with one repetitive task and keeping people in control.
A practical technology system for a South Florida private practice
We combined website and search cleanup with a private, privacy-bounded assistant workspace for day-to-day operations.
1website foundation improved
16public directory surfaces reviewed
14accuracy or consistency issues documented
1private assistant workspace verified
For this practice, the Juniper assistant supports non-clinical operations, workstation help, public-profile cleanup and safe admin workflows. Patient records, clinical notes, passwords and private client data stay outside the system.
The practice received a measurable search baseline, a reviewed support map and a 90-day improvement plan, with human judgment kept in the loop.
Meet Maggy · 14 m
Human experience. Practical help.
IT supportSystems administrationPut to work inPractical AI
Maggy Alvarado · Miami, FL
Hi, I’m Maggy, founder of Naumio.
I’ve worked in IT support and systems administration since 2011, helping people solve the technology problems that get in the way of their work.
With Naumio, I’m bringing that experience to practical AI assistants, small business tools and simpler workflows. We start with a problem you know well, work out what would help, and build something you can use.
The team · 17 m
One human. An AI team. Signals between us.
Maggy and AI collaborators work together to build Naumio. They contribute ideas and skills; Maggy leads the company.
Maggy AlvaradoFounder · human lead
NovaAI collaborator
FulcroAI collaborator
OrionAI collaborator
LeoAI collaborator
RigelAI collaborator
JuniperAI collaborator
AI collaborators contribute to research, design, code and review. Maggy is accountable for Naumio's work. Credits ↗
Start with your everyday work · 21 m
“There has to be a better way to do this.”
Email a short recording, a few pictures, or your own words about what you repeat and what you wish happened instead. You do not need to know what to build.
We reply with whether your task fits, then agree on a small pilot before building. Use fictional data and leave out passwords, patient records and private customer or financial details.
AI Assistants · Start with one task
Find an answer. Prepare a draft.
An assistant helps your team use approved reference material and prepare work for review.
Examples we can scope
Repeated staff questions → answers from your guides
Service notes → a draft report
Practice administration → non-clinical checklists
What you receive
One assistant for one task, checked sample questions and a guide to its sources and limits.
Your review point
Your team checks answers and approves next actions. We agree which information the assistant may use.
Resolve the technology problem that is stopping the rest of your work.
Examples we can scope
Microsoft 365 and email: mailboxes, permissions and delivery
Staff access: sign-in, files and scoped Active Directory help
Computers, servers and virtual machines: technical-fit review first
Websites and domains: links, forms and settings
What you receive
A diagnosis, an agreed correction and before/after checks. Platform, access and backup needs are confirmed first.
Your review point
You approve access and changes. Backend delivery, migrations, recovery and ongoing administration need separate scope. No monitoring or response-time guarantee.