The platform
Ask the database that remembers what surveyors already wrote.
FTagAI uses enterprise-grade generative AI, RAG, and a Pinecone vector database to search historical 2567 survey documents and return answers grounded in real enforcement history.
1 Ask the real question
Use plain language. Ask about an incident, a citation risk, a Plan of Correction, an inservice, an IDR angle, or a checklist.
2 Review cited sources
FTagAI surfaces the strongest matching historical surveys so you can see the enforcement pattern behind the answer.
3 Create the work product
Generate the draft materials leaders need, then refine them with your facility context and professional judgment.
Source engine
The premium part is not the AI. It is the record behind the answer.
FTagAI is built to show the source trail behind the guidance, so leaders can verify the survey language before they act.
What it creates
Fast outputs for the work that usually steals the day.
Heavy-duty by design
Built for leaders who cannot afford vague answers.
A source-backed engine for survey defense.
FTagAI is built around historical 2567 survey documents, cited source review, and four role-specific agents that support real nursing home work.