Your data. Your rules.
Your compliance, intact.
Your AI runs in yourcloud. Not someone else's.
For regulated industries, we deploy the LLMs that power FluentOS on AWS Bedrock — inside your own Amazon account. Every inference is encrypted. Model providers never see, retain, or train on your data. Every prompt, logged to your own CloudTrail.
Your practice runs on five systems.
None of them talk to each other.
Your data is fragmented.
Patient records in the EHR. Eligibility in the clearinghouse. Recalls in a spreadsheet. Pre-auths in a fax queue. No one has a single view of who needs what — or what's slipping through the cracks today.
Your front desk is on hold.
Mornings are eaten by eligibility calls. Pre-auths get chased for weeks. No-shows leave chairs empty and providers idle. Every untracked recall is a patient who quietly chose somewhere else — and revenue that never showed up.
HIPAA scared you off AI.
You've watched the demos. You also know what a HIPAA violation costs — six- and seven-figure fines, breach notification letters, OCR audits. So nothing gets built, because configuring AI safely around PHI isn't on your administrator's plate, and it shouldn't be.
We fix all three. In three business days. HIPAA-compliant. Without your staff lifting a finger.
Book your discovery callWhat is FluentOS?
At the core is Claude Code— Anthropic's agentic AI engine. But Claude by itself doesn't know your business, your customers, your tools, or your data. FluentOS is the wrapper that makes the AI yours.
- ✕Generic answers, no context
- ✕Re-explain every session
- ✕No memory, no integrations, no data
- ✓Connected to your data, tools, people
- ✓Persistent memory across every conversation
- ✓Secure, governed, auditable by design
Regardless of your industry — law, medical, real estate, finance, agencies, operations — FluentOS shapes itself around you.
You've heard of automations.
We install agents.
- ✕Hard-coded rules — break when data shifts
- ✕No reasoning — every edge case becomes a new branch
- ✕No memory between runs
- ✕You build, you maintain, you debug
- ✓Reads context — knows your data, your customers, your tools
- ✓Reasons through edge cases — handles the messy middle
- ✓Persistent memory — gets smarter as your business runs
- ✓Escalates to a human only when judgment is needed
Four systems, one foundation,
running on your data.
Daily Brief
Eight-thirty AM delivery to Telegram. The one signal that matters today — and why. Most teams learn their problems on Friday; you learn yours Monday morning.
See it in the tour →Dashboard
One screen with AI-written insights, not just metrics. Pipeline, revenue, leads, content — live. Each panel explains what changed and what to do about it.
See it in the tour →Chat Your Data
Plain English in. Plain English out. Ask your CRM, calendar, revenue, ads — any question, in seconds. Not a chatbot reading a manual; real-time answers.
See it in the tour →Agents
Always-on agents that watch your business, reason through what they see, and act. They open tickets, draft replies, escalate the things that need a human.
See it in the tour →Five agents,
installed in your foundation.
Not automations that break when the data shifts. Each agent watches its part of your business, reasons through what it sees, and acts — escalating to a human when judgment is needed.
Patient Intake Automation
Incoming patient forms are automatically read by AI, which extracts demographics, insurance info, and medical history. Data is validated and pushed into your EHR system. Missing or inconsistent fields are flagged for staff review before the appointment.
Insurance Pre-Authorization
When a procedure is scheduled, AI checks the patient's insurance coverage rules, gathers required documentation from the chart, and submits the pre-auth request to the payer. Status is tracked automatically with staff notified of approvals or denials.
Clinical Note Summarizer
After each patient encounter, the physician's dictation or free-text notes are processed by AI into structured SOAP format. Notes are placed in a review queue for the physician to approve, then automatically filed to the patient's chart.
Appointment No-Show Predictor
AI analyzes patient appointment history, demographics, and scheduling patterns to score each upcoming appointment for no-show risk. High-risk patients automatically receive confirmation calls, texts, or emails. Patterns are reported weekly so scheduling can adapt.
HIPAA Compliance Scanner
Before any document is shared externally — referral letters, billing records, research data — AI scans for protected health information (PHI). Violations are flagged with specific redaction suggestions. An audit log is maintained for compliance reporting.
From signed contract to
ongoing consultant.
Most vendors ship software and disappear. That's not us. The three-day build is where the foundation goes in — then we stay, monthly retainer, as your consultant.
- ✓Book onboarding call with your team
- ✓Set up shared communication channel
- ✓Walk through your tools and workflows
- ✓Collect software list, API keys, access
- ✓Day 1 — provision your FluentOS instance
- ✓Day 2 — connect integrations, install agents
- ✓Day 3 — testing + handoff walkthrough
- ✓First brief lands in Telegram
- ✓Crawl-walk-run: more agents over time
- ✓Custom modules built as you need them
- ✓Integrations added as your stack changes
- ✓Strategy calls as priorities shift
Own the software
your business runs on.
It takes time.The foundation comes first. Agents layer in. Custom modules start shipping around month six. But every dollar you've been handing to per-seat SaaS — comes back to you, permanently.
What this actually returns.
Moments, compounded.
What happens when your data
starts working for you.
Pre-auths used to block treatment for three to four days while we hunted clinical docs and waited on hold with payers. Now Claude pulls the docs, verifies medical necessity, and submits to BCBS or Aetna in seconds. Same-day decisions on most. Front desk got six hours back every week.
I was charting past 7 PM every weeknight. AI drafts the SOAP note from the visit now — I read it and sign off. Nine hours of charting back per week. 100% of notes filed same-day instead of 23% spilling into the next morning.
I used to type intake forms into the EHR by hand for every new patient — twelve minutes a chart, six hours a week. Now charts are populated before the patient sits down. Charts incomplete at room time went from 17% to zero.
We had three PHI leaks last year — real money in remediation. Every doc going to a specialist or a lawyer now gets scanned, redacted, and audit-logged automatically. Zero leaks YTD. The compliance binder is finally complete.
