Data Location
Define where source information, processing and approved outcomes may reside.
SaaS delivery and deployment options
Deploy Paptra within the boundary your operation requires.
Paptra is a SaaS-based platform with managed cloud delivery. Private-cloud, on-premises and hybrid models can also be aligned with infrastructure, system access and data requirements.
- Managed SaaS delivery
- Enterprise integration support
- Flexible operating boundaries
Customer environment
DATABusiness dataPrivate records
ERPEnterprise systemsInternal access
Customer controlSelected operating boundary
PPaptraWorkflow servicesCloud · Private · On-Prem · Hybrid
Why deployment choice matters
The right architecture begins with operational requirements.
Deployment should reflect where data lives, which systems must connect and how responsibility is divided.
System Access
Account for internal applications, network boundaries and available interfaces.
Privacy
Align the environment with organizational data-sensitivity requirements.
Ownership
Clarify responsibility for infrastructure, monitoring, updates and support.
Scale
Plan capacity, availability and growth for the intended workflows.
Interactive comparison
Choose where Paptra operates.
Select a deployment model to compare its boundary, operating responsibility and typical fit.
Managed operation for simpler scaling.
Paptra operates in a managed cloud environment, supporting centralized platform operation and scalable adoption.
- Operating boundary
- Managed cloud environment
- Infrastructure ownership
- Managed service
- System connectivity
- Approved external or private links
- Typical fit
- Faster adoption and elastic capacity
Cloud flexibility within customer control.
Paptra operates inside a dedicated customer-controlled cloud boundary with private connectivity to approved systems.
- Operating boundary
- Customer cloud environment
- Infrastructure ownership
- Customer governed
- System connectivity
- Private network paths
- Typical fit
- Cloud use with greater control
Operate inside customer infrastructure.
Paptra and agreed processing components operate within the organization’s environment for local data and system access.
- Operating boundary
- Customer infrastructure
- Infrastructure ownership
- Customer managed
- System connectivity
- Local network access
- Typical fit
- Restricted infrastructure environments
Place services according to the workflow.
Private and managed components work together so processing and data can remain within the appropriate boundary.
- Operating boundary
- Private and cloud environments
- Infrastructure ownership
- Shared by component
- System connectivity
- Controlled private gateway
- Typical fit
- Mixed workloads and requirements
Deployment models
Four ways to align Paptra with the enterprise.
The final architecture is confirmed through technical and operational discovery.
Cloud
Centralized operation with simpler infrastructure management and capacity growth.
- Managed platform environment
- Centralized updates and monitoring
- Approved connections to enterprise systems
Private Cloud
A dedicated cloud environment governed within the customer’s operating boundary.
- Customer-controlled network
- Private system connectivity
- Greater infrastructure policy alignment
On-Premises
Local operation for environments requiring internal processing and system access.
- Processing inside the organization
- Local data and application access
- Customer-managed infrastructure
Hybrid
Private and managed components placed according to sensitivity and workflow needs.
- Workload-specific placement
- Controlled private gateways
- Flexible responsibility model
Responsibility comparison
Understand how operational ownership changes.
This directional comparison supports early planning. Exact responsibilities are agreed for each implementation.
| Area | 01Cloud | 02Private Cloud | 03On-Premises | 04Hybrid |
|---|---|---|---|---|
| Infrastructure | Managed | Customer cloud | Customer | |
| Application operation | Managed | Customer-led | ||
| Platform updates | Centralized | Customer scheduled | ||
| Monitoring | Managed | Customer environment | ||
| Network access | Private network | Local network | ||
| Data governance | Customer policy | Customer policy |
Managed serviceCustomer controlledShared or agreed responsibility
Security and governance
Apply controls across every operating model.
Deployment changes the infrastructure boundary, but each design should still address access, transfer, decisions and traceability.
- Identity and access controlRestrict platform and workflow actions by authorized role.
- Encryption and network boundariesProtect transfers and define approved communication paths.
- Approval and audit historyPreserve human decisions, processing states and delivery events.
- Retention requirementsAlign workflow data and evidence with organizational policy.
Integration by deployment
Design connections around system location.
ERP, CRM, DMS, EMR/HIS and custom applications may sit in different network zones. The deployment architecture should define how Paptra reaches each system and which transfers cross a boundary.
Explore Enterprise Integrations →Private systemsERPDMSEMR
Approved gateway
API · Secure file · Private link
Selected Paptra boundaryPControlled integration layer
Deployment planning process
Move from requirements to controlled operation.
Architecture, responsibility and workflow requirements are validated before production use.
- 01⌕
Discover
Confirm workflows, systems and stakeholders.
- 02▤
Assess
Review data, networks and requirements.
- 03◇
Design
Define architecture and responsibilities.
- 04✓
Validate
Test controls, access and performance.
- 05↗
Deploy
Implement the approved environment.
- 06●
Operate
Monitor, support and improve.
Common questions
Deployment FAQs.
The final deployment model and responsibilities are confirmed through implementation discovery.
View all FAQs →Where can Paptra be deployed?+
Paptra supports cloud, private-cloud, on-premises and hybrid deployment models, subject to technical and organizational requirements.
Can data remain inside our environment?+
Private-cloud or on-premises designs can keep agreed processing and data within a customer-controlled boundary. Exact data flows must be confirmed during architecture design.
Who manages upgrades?+
Upgrade responsibility depends on the deployment model. Managed cloud updates can be centralized, while customer-controlled environments require an agreed coordination process.
Can deployment scale after launch?+
Capacity can be planned and adjusted according to workload growth, infrastructure availability and the selected operating model.
Can we combine on-premises and cloud services?+
Yes. A hybrid model can place different components according to system location, data sensitivity and workflow requirements.
Can we change deployment models later?+
A migration can be assessed, but it requires planning for infrastructure, integrations, data handling, controls and operational responsibility.
Plan your deployment
Define the right boundary for your workflows.
Bring your infrastructure model, system locations, data requirements, network controls and operational responsibilities.