Enterprise AI & Compliance

Why Enterprise AI Needs Specialized Handling

Enterprise AI isn't just about capability — it's about compliance, security, and risk management. Regulated industries face unique challenges: patient privacy, student records, client confidentiality, financial data protection. Off-the-shelf AI tools won't meet these requirements.

We build AI systems that serve your mission without compromising compliance. From framework selection to deployment architecture, every decision is made with your regulatory obligations in mind.

🎯 Engagement Model

Every enterprise deployment starts with a discovery phase to understand your specific compliance requirements, existing infrastructure, and use cases. Pricing is scoped based on complexity, integrations, and regulatory frameworks involved.

Standard Compliance Frameworks

These frameworks apply across multiple industries. We assess which ones apply to your organization and build accordingly.

🏥 HIPAA

Healthcare providers, insurers, and business associates. Protects patient health information (PHI). Requires encryption, access controls, audit logs, and Business Associate Agreements (BAAs).

Private AI deployment (no public APIs)
Data encryption at rest and in transit
Role-based access controls
Comprehensive audit logging
Automatic session timeouts

📚 FERPA

Educational institutions and related agencies. Protects student education records. Applies to K-12, colleges, universities, and any organization receiving Department of Education funds.

Parental consent requirements
Directory information restrictions
Third-party provider agreements
Data minimization practices
Annual policy notifications

🇪🇺 GDPR

Organizations processing EU resident data. Comprehensive privacy rights including access, correction, deletion ("right to be forgotten"), and data portability.

Lawful basis documentation
Data Processing Agreements (DPAs)
Privacy by design architecture
Data subject request workflows
Cross-border transfer safeguards

🇺🇸 CCPA/CPRA

California consumer privacy rights. Similar to GDPR but with distinct requirements. Applies to businesses meeting revenue or data processing thresholds.

"Do Not Sell" mechanisms
Consumer disclosure requirements
Opt-out preference signals
Service provider contract terms
Annual compliance assessments

🏦 GLBA

Financial institutions. Gramm-Leach-Bliley Act requires safeguards for customer financial data. Applies to banks, credit unions, insurers, tax preparers, and more.

Written information security program
Risk assessments and mitigation
Vendor oversight requirements
Employee training programs
Incident response procedures

💳 PCI-DSS

Payment card industry standards. Required for any organization storing, processing, or transmitting credit card data. Twelve core requirements across six control objectives.

Network segmentation
Cardholder data encryption
Access control measures
Regular security testing
Information security policies

Industry-Specific Solutions

Beyond standard frameworks, each industry has unique requirements. We design AI systems that understand your specific operational and regulatory context.

⚖️

Legal Firms & Law Enforcement

Attorney-client privilege protection, work product doctrine, confidential case materials, discovery document analysis, legal research automation, compliance with state bar requirements and client confidentiality rules.

🏥

Healthcare & Medical Research

Patient record analysis, clinical decision support (non-diagnostic), medical literature research, HIPAA-compliant infrastructure, IRB coordination for research applications, integration with EHR systems.

🎓

Education & EdTech

Student data privacy, age-appropriate AI interactions, FERPA-compliant record keeping, parental consent workflows, accessibility compliance (Section 504, ADA), integration with SIS/LMS platforms.

🏢

Government & Public Sector

FedRAMP considerations, records retention schedules, public records request handling, accessibility requirements (Section 508), security clearance workflows, audit trail requirements.

🔬

Research Institutions

IRB compliance, human subjects protection, data use agreements, export control restrictions (EAR/ITAR), research data management, publication review processes, collaborative research frameworks.

🏭

Manufacturing & Industrial

Proprietary process protection, trade secret safeguards, quality control documentation, supply chain data handling, ITAR compliance for defense contractors, operational technology (OT) security.

Tool Selection & Infrastructure

We don't believe in one-size-fits-all. Your AI stack is selected and configured based on your specific compliance requirements, use cases, and existing infrastructure.

🔐 Deployment Architecture

Choose the right deployment model for your risk tolerance:

Cloud (compliant): HIPAA-eligible cloud providers with BAAs
On-premise: Complete physical control within your facility
Air-gapped: No internet connectivity for maximum isolation
Hybrid: Sensitive data on-premise, general queries to cloud

🤖 Model Selection

Match model capabilities to your requirements:

Open-weight models: Full control, no external API calls
Enterprise APIs: Managed services with compliance guarantees
Fine-tuned models: Customized for your domain and terminology
Small language models: Run locally, reduced data exposure

🔗 Integration Points

Connect AI to your existing systems securely:

Single Sign-On (SSO) integration
Active Directory / LDAP authentication
API gateways with rate limiting
Database connectors with read-only access
Document management system integration

📊 Monitoring & Audit

Continuous compliance verification:

Query logging with retention policies
User activity dashboards
Anomaly detection for unusual patterns
Automated compliance reports
Alert systems for policy violations

Implementation Process

1

Discovery & Requirements

Stakeholder interviews, compliance framework identification, use case prioritization, existing infrastructure assessment, risk tolerance evaluation.

2

Architecture Design

Deployment model selection, tool stack recommendations, integration specifications, security controls design, compliance documentation framework.

3

Implementation & Integration

Infrastructure setup, model configuration, system integrations, access control implementation, audit logging configuration, user interface customization.

4

Testing & Validation

Security testing, compliance verification, user acceptance testing, performance benchmarking, documentation review, policy alignment confirmation.

5

Deployment & Training

Production rollout, administrator training, end-user onboarding, policy documentation, support handoff, ongoing maintenance planning.

6

Ongoing Compliance

Regular audits, framework updates, policy reviews, security patches, usage monitoring, continuous improvement recommendations.

Who Should Consider Enterprise AI?

🏥 Healthcare Organizations

Hospitals, clinics, insurance providers, medical research institutions handling PHI or conducting patient-related AI applications.

⚖️ Legal Practices

Law firms, corporate legal departments, public defenders, court systems managing confidential case materials and client communications.

🎓 Educational Institutions

K-12 districts, colleges, universities, educational technology companies processing student records or providing AI-enabled learning tools.

🏦 Financial Services

Banks, credit unions, investment firms, insurance companies handling customer financial data and subject to financial regulations.

🏛️ Government Agencies

Federal, state, and local government entities with public records obligations, accessibility requirements, and security clearances.

🔬 Research Organizations

Universities, think tanks, corporate R&D departments conducting human subjects research or handling proprietary data.

Common Questions

How do you determine which compliance frameworks apply to us?

During discovery, we analyze your industry, data types, geographic operations, funding sources, and contractual obligations. Some frameworks are mandatory (HIPAA for healthcare), others depend on specific circumstances (GDPR if you process EU data). We document all applicable requirements in our architecture proposal.

Can you work with our existing compliance team?

Absolutely. We prefer to collaborate with your compliance officers, legal counsel, and IT security teams. They understand your organization's specific risk profile and existing controls. We bring AI-specific expertise to complement their broader compliance knowledge.

What happens when compliance requirements change?

Regulatory frameworks evolve. Our engagements include ongoing compliance monitoring and update recommendations. When requirements change, we assess impact on your AI systems and provide remediation guidance. Some clients retain us for periodic compliance reviews.

Do you provide documentation for auditors?

Yes. We deliver comprehensive documentation including system architecture diagrams, data flow maps, access control matrices, audit log specifications, and compliance framework mappings. This documentation supports internal audits and external regulatory examinations.

Can you sign Business Associate Agreements (BAAs)?

For HIPAA-covered entities, we operate as a business associate and will execute BAAs. Our infrastructure providers (when using compliant cloud) also maintain BAAs. For on-premise deployments, your organization maintains full control and liability.

How is pricing determined for enterprise engagements?

Enterprise pricing varies based on complexity factors: number of compliance frameworks, deployment model (cloud vs. on-premise vs. air-gapped), integration requirements, user count, customization level, and ongoing support needs. We provide detailed proposals after the discovery phase.

Ready to Discuss Your Enterprise AI Needs?

Every enterprise deployment is unique. Start with a conversation about your specific requirements, compliance obligations, and use cases. We'll help you understand what's possible within your regulatory constraints.

Request Consultation