Use Cases
NOπI works wherever sensitive data meets AI, from healthcare to legal to financial services.
AI-powered healthcare without the PHI risk
The Problem
Healthcare organizations want to use LLMs for clinical documentation, patient communication, and diagnostic support, but sending Protected Health Information (PHI) to third-party AI providers creates HIPAA violations and massive liability.
The Solution
NOI tokenizes all PHI before it reaches the LLM. Patient names, medical record numbers, dates of birth, and diagnoses are replaced with deterministic tokens. The LLM processes the sanitized prompt and returns a useful response, which NOI detokenizes before returning to your application.
Example Use Cases
- Clinical note summarization without exposing patient names
- AI-assisted diagnosis suggestions with anonymized records
- Patient communication drafting with tokenized identifiers
- Medical research queries across de-identified datasets
- Automated coding and billing with protected encounter data
HIPAA requires that PHI not be disclosed to unauthorized parties and retained only as long as necessary. NOI ensures that LLM providers never see PHI, and configurable token retention lets organizations enforce automatic expiration of tokenized data to meet minimum necessary requirements.
AI for finance without exposing account data
The Problem
Banks, insurers, and fintech companies handle account numbers, SSNs, credit scores, and transaction histories. Using AI to analyze this data means sending it to third-party APIs, violating SOX, PCI-DSS, and GDPR requirements.
The Solution
NOI intercepts every API call and replaces financial PII with tokens before it leaves your infrastructure boundary. The LLM works with tokenized data, and real values are restored only in your environment.
Example Use Cases
- Fraud detection narratives without exposing account details
- Automated regulatory report drafting with tokenized data
- Customer financial summary generation
- Risk assessment with anonymized portfolio data
- Compliance document review and analysis
NOI helps meet SOX, PCI-DSS, and GDPR data protection requirements by ensuring no regulated financial data is transmitted to LLM providers. Configurable token retention aligns with data lifecycle policies, automatically purging tokenized records after a defined period.
AI document review without exposing client details
The Problem
Law firms and legal departments want to use AI for contract review, case research, and document drafting. But attorney-client privilege and data protection regulations prohibit sharing client details with third-party services.
The Solution
NOI tokenizes client names, case numbers, dates, financial figures, and other identifying details before prompts reach the LLM. Legal professionals get AI-powered productivity without compromising privilege or confidentiality.
Example Use Cases
- Contract clause analysis with anonymized party names
- Case law research with tokenized client details
- Document drafting with protected confidential information
- Due diligence review across large document sets
- Deposition summary generation without exposing witness data
Attorney-client privilege and legal ethics rules require strict confidentiality. NOI ensures that AI tools never receive identifiable client information.
Smarter support without the data risk
The Problem
Customer support teams use AI to draft responses, summarize tickets, and suggest solutions. But support conversations are full of PII: names, emails, order numbers, addresses, and payment details.
The Solution
NOI sits between your support platform and the LLM, tokenizing customer PII in real time. Your agents get AI-powered suggestions while customer data stays protected.
Example Use Cases
- Ticket summarization with tokenized customer details
- Response drafting without exposing personal information
- Sentiment analysis across anonymized support conversations
- Knowledge base article generation from support data
- Escalation routing with protected customer context
GDPR, CCPA, and other privacy regulations require that personal data processing be minimized. NOI ensures AI-powered support workflows comply with data minimization principles, and automatic token expiration enforces retention limits without manual intervention.
AI-powered people analytics, without employee data leaving your environment
The Problem
HR teams want to use AI for performance reviews, compensation analysis, and employee sentiment, but employee names, salaries, performance scores, and HR case details are highly sensitive. Employment law exposure crosses jurisdictions.
The Solution
NOI tokenizes employee identifiers before prompts reach the LLM. The model provides analytical value on anonymized data, and real identifiers are restored only in your environment. Legal and HR teams get the control layer they need to sign off.
Example Use Cases
- Performance review summarization with protected employee data
- Compensation benchmarking across anonymized records
- Employee sentiment analysis without exposing identities
- Policy document generation from sensitive HR data
- Organizational analytics with tokenized personnel records
Employment law, GDPR, and internal data governance policies require strict protection of employee data. NOI ensures AI-powered HR workflows comply with these requirements.
Your industry. Your data. Protected.
Tell us about your use case and we'll show you exactly how NOπI fits in.