Private vs. Cloud AI Deployment: Which Is Right for Your Business?

When businesses start discussing an AI assistant project, the question of where the AI runs often comes up. Should your documents and the AI system live on our infrastructure — or yours?

Most businesses choose the standard cloud deployment. Some need private deployment. Here’s how to know which is right for your situation.

What “Cloud Deployment” Means

In the standard deployment model, we build your AI assistant on managed infrastructure operated by CONSYSTEAM. Your documents are transferred securely, stored in an encrypted environment, and used exclusively to power your assistant.

We sign a Data Processing Agreement before any data is transferred. Your documents are never shared with other clients or used to train public AI models.

Advantages:

• Faster deployment (no infrastructure setup on your side)
• Lower total cost
• We handle maintenance, updates, and security
• Works for most businesses and most document types

Considerations:

• Your documents are processed outside your own infrastructure
• Requires trust in our security practices and the DPA
• May not meet requirements in certain regulated industries

What “Private Deployment” Means

In a private deployment, the entire AI system runs within your own environment — your AWS, Azure, or Google Cloud account, or your own on-premise servers. We build and configure everything; you own and control the infrastructure.

Your documents never leave your environment. The AI processes them in-place and serves responses from within your systems.

Advantages:

• Complete data sovereignty — nothing leaves your environment
• Meets strict compliance requirements (GDPR data residency, HIPAA, SOC2)
• Audit trail and access logs stay within your infrastructure
• Required by some regulated industries and enterprise procurement policies

Considerations:

• Higher project cost (infrastructure setup + configuration)
• Your team manages the underlying infrastructure (or we do it under a managed services agreement)
• Deployment takes longer (typically 6–8 weeks vs 3–4 weeks)

Who Chooses Private Deployment?

Healthcare. Patient data, clinical documentation, and anything touching medical records typically requires systems that stay within a controlled environment. Even if the AI isn’t trained on patient data, healthcare organizations often have blanket policies about third-party data processing.

Financial services. Banks, insurers, and investment firms typically have strict data residency and access control requirements. Private deployment within a regulated cloud environment (e.g., AWS GovCloud, Azure Government) satisfies these.

Legal firms. Attorney-client privilege considerations make some firms uncomfortable with documents processed externally, regardless of contractual protections.

Enterprise with existing cloud infrastructure. Large organizations with established AWS, Azure, or GCP environments often prefer to add new systems within their existing infrastructure for operational consistency.

Government and public sector. Data sovereignty requirements often mandate that data stays within national infrastructure.

The Hybrid Option

Some businesses use a hybrid approach: the AI runs in our managed environment, but sensitive document categories are excluded. For example:

• Product documentation, FAQs, and shipping policies → cloud deployment (lower sensitivity)
• Contract templates and internal financial policies → excluded from the AI or handled separately

This reduces costs while managing risk for the most sensitive content.

How to Decide

Ask yourself:

1. Is there any regulatory requirement that specifies where data must be processed? If yes → private deployment.
2. Does your procurement or security policy prohibit third-party data processing for certain document types? If yes → private deployment or hybrid.
3. Are the documents you’d give the AI genuinely sensitive? Product catalogues and FAQs: probably not. Strategic planning documents and personnel files: worth more careful consideration.
4. What’s your risk tolerance? Cloud deployment with a solid DPA is appropriate for most businesses. Private deployment is for those with stricter requirements or preferences.

If you’re not sure, we assess your situation during the free discovery call and give you a clear recommendation with the tradeoffs laid out.

Book a free consultation to discuss the right deployment model for your business.