Privacy & architecture
Your business gets a dedicated private server environment used only for your AI workforce, your data, and your work — no other customer's AI workload runs there. It can sit at your location or be hosted and managed by ADS.
Your confidential information is processed by AI within that dedicated system and is not submitted to a third-party hosted AI provider for AI reasoning or analysis.
You get dedicated intelligence for information you want to keep private.
The boundary
Your records can be read from data sources you control or approve, or securely transferred to your dedicated private system. The AI reasoning happens inside that customer-dedicated server environment, and finished work is delivered back through your private interface.
Your confidential records are not submitted to a third-party hosted AI provider for reasoning or analysis.
For IT and security readers: ADS provides customer-dedicated server hardware running the AI models, workflows, and results interface for that business. The system can sit on the customer's premises or in ADS hosting. It can read from customer-approved data sources and uses the internet for approved functions such as secure access, software updates, system management, integrations, and sanitized public research.
Outside connectivity does not outsource the AI reasoning performed on your confidential information. That work remains inside the dedicated private system reserved for your business.
How it holds
From data sources you control or approve: local folders, network storage, customer-controlled cloud accounts, approved integrations, or secure transfer to your dedicated system. The source can vary; the AI reasoning boundary does not.
On the dedicated private server environment reserved for your business — either on-site or in ADS hosting. The AI that reasons over your confidential information runs there rather than on a third-party hosted AI service.
In an authenticated private interface served from your dedicated system and used by your authorized team. Results are not mixed into a shared customer workspace.
Through secured administrative access and system-health telemetry. ADS uses that access to maintain, update, monitor, and support the dedicated system. Management access does not route customer files to third-party hosted AI services for reasoning or analysis.
Defined for each deployment. Any backup containing customer-confidential information remains within customer-approved storage and follows the retention and decommissioning terms in the service agreement.
Where public information is needed, the system can issue sanitized research queries that contain no customer-confidential content. Public information returns to the dedicated system for use in the workflow.
Your authorized people access the AI workforce through the authenticated private interface. They do not need to operate the underlying server. ADS manages the system itself as part of the service.
Location choice
Both arrangements are the same private product: one dedicated system, reserved for your business, managed by ADS. The only question is where the hardware sits.
Installed at your office, in your server room, or at another location you control. Maximum physical custody of the dedicated AI hardware: the server performing your private AI work remains at a location you control. Often preferred where information is unusually sensitive or physical-custody requirements are strict.
ADS physically hosts and manages your dedicated system. It remains reserved for your business, isolated from other customers' systems, and used only for your AI workforce. Your team works with it through the same private interface, and approved information moves over a secure connection between your systems and your dedicated system. The hardware performing your AI work is dedicated to your business rather than shared with another customer's workforce.
Does the system use the internet? Yes — for approved functions such as secure customer access, software updates, system health, ADS management, customer-approved integrations, and sanitized public research. Internet connectivity does not mean your confidential records are submitted to a third-party hosted AI provider for analysis. The AI reasoning on that information remains inside your dedicated private system. Physical location is your choice. A private system dedicated to your business is not.
The rule we engineer to
We design and test the deployment around that boundary. Data access, research tools, integrations, updates, telemetry, remote management, and sign-in are reviewed against the same rule so customer-confidential content is not inadvertently routed to a third-party hosted AI provider for reasoning or analysis. The privacy boundary is an architectural requirement of the ADS deployment, not a preference left to individual users.
Dedicated hardware
ADS provides and manages the dedicated computing system required for your AI workforce. The server environment performing your private AI work is reserved for your business rather than shared across customers, whether it sits on your premises or in ADS hosting. It is not a shared workspace and it is not a login to somebody else's hosted AI product.
ADS owns and manages the hardware and software unless your service agreement states otherwise. Your business owns its data. ADS's software. Your data.
When you leave
Any agreed customer data return or export is completed before decommissioning begins.
Whether the system is on-site or ADS-hosted, customer-dedicated storage is cleared under the decommissioning process defined in the service agreement.
Customer-confidential data is removed using media-appropriate secure-erasure procedures defined in the service agreement.
ADS provides written confirmation that the agreed decommissioning process has been completed for the customer-dedicated storage.
Dedicated hardware is not reassigned until the customer-data decommissioning process is complete.
Your data is yours. ADS's software is ours.
Next step
Show us the work your team handles today, the information it depends on, and the parts of the process that consume time or require repeated review. We'll map what a private AI employee could take ownership of, where its dedicated system should live, and what it would take to put it to work in your business.
Book an AI Workforce Consultation