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 schedule has gaps.
Your data has the answers.
Your patient data is scattered.
Schedules in the PMS. Eligibility on hold with the payer. Recall lists in an Excel sheet from 2023. Reviews on Birdeye. You can't see no-show patterns, lapsed patients, or unbilled production from one place — and your team is paying for it every day.
Hours lost to verifications and recall calls.
Your front desk burns mornings on hold with Availity. Recall lists collect dust until someone has a slow afternoon. No-shows leave $300/hr chairs sitting empty. That is real production walking out the door — every single week.
Every AI vendor stops here. We didn't.
You've watched the demos. You also know what a HIPAA violation costs — vendor BAAs, PHI handling, audit trails. So nothing gets built, because configuring it safely isn't on your front desk's plate. We sit on the other side of that wall.
We fix all three. In three business days. HIPAA-aligned, BAA in hand, without your front desk 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
New patient paperwork — medical history, dental history, HIPAA forms, insurance cards — is read by AI and pushed straight into Dentrix, Eaglesoft, or Open Dental. Front desk reviews exceptions instead of typing for 15 minutes per patient.
Dental Insurance Verification
For every appointment on tomorrow's schedule, AI pulls eligibility, remaining benefits, deductible, and frequency limits (cleanings, x-rays, perio) from the clearinghouse and posts a one-page verification sheet to the chart. Front desk stops spending mornings on hold.
Appointment No-Show Predictor
AI scores every upcoming appointment for no-show risk based on patient history, demographics, day of week, and time of day. High-risk patients get a personal text or call; low-risk patients get a normal reminder. Open chair time drops, production goes up.
Recall & Hygiene Reminder Engine
AI watches the recall list every day and reaches out to patients due for hygiene with a personal-feeling text, email, or postcard. Lapsed patients (12+ months) get a re-engagement sequence. Hygiene chair fills itself instead of staff cold-calling lists.
HIPAA Compliance Scanner
Before any record leaves the practice — referral letters, x-ray packets, billing records — AI scans for PHI exposure (wrong patient name, second SSN, the previous patient still in the email body). Flags every issue with a redaction suggestion and keeps an audit log for compliance.
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.
We lost an entire workday a week verifying insurance over the phone. Now Claude reads the card, hits Delta or Aetna, and updates the chart in seconds. Front desk got 14 hours back. Patients arrive with verified coverage, every time — no more surprises at checkout.
Hygienists used to sit idle until 9:05 AM when the front desk realized someone no-showed. Now the waitlist gets pinged the moment a slot opens, with the right offer. We filled 88% of at-risk slots last month — eighteen recovered slots, $4,400 in saved revenue.
The recall engine alone paid for the build in the first 60 days. Lapsed patients we had written off two years ago started rebooking. I stopped running monthly recall reports and started just looking at the dashboard.
We run eight offices on Dentrix Ascend. Fluent built one verification + no-show layer that reports across all of them. I can finally see which office has the recall problem instead of guessing.
