On-premise

Data residency is the requirement that customer data be stored and processed inside a specific country or region. Regulated industries and public-sector buyers frequently mandate it, which makes deployment location a procurement question rather than a technical detail for any support platform handling personal data.

Data sovereignty is the principle that data is subject to the laws of the country where it is stored or processed. A foreign government may be able to compel access to that data regardless of who owns it. Data sovereignty differs from data residency, which only addresses where data physically sits. It also differs from data localization, which is a legal mandate requiring data to stay within a country’s borders. Example: a Saudi bank may require in-country processing to meet PDPL expectations. Storage location alone would not resolve which jurisdiction’s laws actually govern that data, so residency and sovereignty have to be considered together. OnClarity operates under SOC 2 Type II controls. OnClarity is also GDPR and HIPAA Ready, and it aligns with Saudi PDPL. OnClarity offers in-country data residency options for enterprises that need processing to stay within a specific legal jurisdiction.

Multi-tenancy is a software architecture where one application instance serves multiple customer organizations, called tenants. Logical controls keep each tenant’s data separate even though the underlying infrastructure is shared. Isolation models vary. Some platforms use a shared database with tenant ID columns distinguishing each customer’s records. Others use separate schemas per tenant. The strongest option is a fully dedicated instance per customer. Shared infrastructure is what keeps cloud contact center pricing low. Dedicated or on-premise deployment is the usual alternative for regulated buyers who need stronger separation between their data and everyone else’s. A procurement team evaluating an AI vendor should ask directly whether conversation data shares storage with other customers, and how encryption keys are separated between tenants. Both answers affect data sovereignty and audit requirements, so they are worth writing into a contract, not just a sales conversation.

CCaaS stands for Contact Center as a Service. It is cloud-delivered software for managing customer interactions, and it covers call routing, IVR, omnichannel queues, recording, and reporting. A company buys CCaaS by subscription instead of building and running its own telephony hardware. CCaaS differs from UCaaS, which handles internal employee collaboration like chat and video meetings. It also differs from on-premise platforms, where a company owns and maintains its own infrastructure. Example: a bank migrates its voice and chat queues to a CCaaS platform, then connects AI agents through the vendor’s APIs to automate routine inquiries like balance checks and card replacements. AI vendors typically integrate on top of or alongside CCaaS rather than replacing it. This is one reason CCaaS sits near the center of most contact center AI terms: almost every AI deployment in contact centers has to plug into one.