// The Problem

AI is already in your organization.
The question is whether it's safe.

Employees are pasting patient records into ChatGPT. Attorneys are drafting briefs with AI. Bank staff are using copilots for reports. Most of this is happening without governance or compliance awareness.

Shadow AI Is Everywhere

Staff using consumer AI tools on sensitive data — patient records, financial data, privileged communications — without realizing their inputs become training data.

Regulators Are Watching

OCR, FFIEC examiners, and state bars are beginning to ask about AI governance. Having no policy is becoming a finding, not just a gap.

Consumer AI ≠ Private AI

Free-tier tools retain data by default. Enterprise APIs with zero-data-retention and private deployments exist — most organizations don't know how to access them.

Falling Behind Is a Risk Too

Your competitors are adopting AI. The goal isn't avoidance — it's adopting in a way that's secure, compliant, and actually useful for your operations.

Private AI doesn't require buying hardware.

There's a spectrum of deployment options that fit different budgets, team sizes, and regulatory requirements. We help you pick the right one.

← Simplest / Lowest CostMost Control / Highest Privacy →

API with Zero Data Retention

~$50–500/mo

Enterprise API agreements guaranteeing data is never stored or used for training.

Best for: Small practices, solo firms

Azure OpenAI Service

~$200–2,000/mo

Run models inside your own Azure tenant. Data never leaves your cloud.

Best for: Microsoft 365 environments

AWS Bedrock

~$500–3,000/mo

Multi-model access through managed AWS. Data stays in your account.

Best for: Existing AWS infrastructure

Google Vertex AI

~$300–2,500/mo

Deploy models within Google Cloud with strong data residency controls.

Best for: Google Workspace, data-heavy orgs

Privacy Gateway

~$500–2,000/mo + API

Middleware that redacts PHI/PII before reaching any model.

Best for: Maximum control, no lock-in

Our Recommendation for Most Regulated SMBs

Start with API-level zero data retention (Anthropic or OpenAI enterprise API). Fastest to deploy, lowest cost, contractual privacy guarantees, and both providers offer BAA support for HIPAA-covered entities.

HIPAA BAA AvailableZero Data RetentionNo Model TrainingSOC 2 Type IIData Residency Options
// SecureAI Packages

Three ways to adopt AI safely.

From governance foundations to full platform deployment — scaled to your readiness and regulatory requirements.

SecureAI Foundations

AI Governance & Policy

For organizations exploring AI (any size)
$8,000–$15,000
Optional ongoing: $1,000–$2,000/mo

Get the governance foundations right before you adopt. We assess your AI risk, build your policies, train your team, and ensure compliance.

SecureAI Implement · Recommended

AI Workflow Integration

For organizations with 10–100 employees
$15,000–$30,000
Ongoing advisory: $2,000–$4,000/mo

Everything in Foundations, plus we identify your highest-impact use cases, deploy private AI access, and integrate into 3–5 workflows with proper guardrails.

SecureAI Enterprise

Private AI Platform

For organizations with 50–200+ employees
$30,000–$60,000
Ongoing management: $4,000–$8,000/mo

Full private AI platform with RAG on internal documents, multi-model access, governance framework, and fractional AI advisor.

Ready to adopt AI without the compliance risk?

Schedule a free SecureAI consultation. We'll assess your current AI exposure and recommend the right deployment model for your organization.

Response: Within 24 hours
Consultation: 30–45 minutes
Obligation: None, ever