Data, Privacy & Security
Responsible Systems Built Around Your Data
Output Systems considers privacy, security, and responsible data use throughout the analysis, design, implementation, and ongoing management of every system. The safeguards used depend on the information involved, the connected applications, who needs access, and what the system is designed to do.
Our goal is to build systems that use business data responsibly while maintaining appropriate control, visibility, and protection.
Your Business Remains in Control
Clients retain control over the information approved for use within their systems. The business determines what information is used, who should have access, and how that information supports the operation.
Where technically supported, systems can also be designed to allow approved information to be exported, transferred, archived, or deleted. The capabilities available may depend on the applications and third-party providers connected to the system.
Access can be limited based on employee roles, responsibilities, departments, clients, or other operational requirements. Permissions can also be updated as teams, responsibilities, and business processes change.
Privacy by Design
Privacy should be considered before a system is built rather than added after deployment. During analysis and design, we consider what information is required, why it is needed, where it comes from, who needs access, and how long it should remain available.
Our approach can include:
- Data minimization to limit information to what the system reasonably requires
- Controlled access based on approved users and responsibilities
- Consent and notice considerations where information is collected from customers, clients, or employees
- Retention and deletion planning based on operational and technical requirements
- Human oversight for sensitive or high-impact actions
Good system design begins with deciding what information should be used rather than collecting everything available.
Security Built Into the System
Security requirements vary depending on the system, the information being used, and the potential impact of unauthorized access or failure. A customer portal, internal dashboard, document system, and AI assistant may each require different safeguards.
Depending on the implementation, security measures may include:
- Secure authentication
- Role-based permissions
- Encrypted connections
- Secure credential and API key management
- Separation between development, testing, and live environments
- Appropriate boundaries between client or business data
- Technical logging and monitoring
- Backup and recovery processes
The final security architecture is determined during technical design based on the needs and risks of the specific implementation.
Responsible AI Use
AI assistants and automated agents should operate within clearly defined business boundaries. Their knowledge, permissions, connected tools, and permitted actions should be intentionally designed rather than giving them unrestricted access.
AI safeguards can include approved knowledge sources, defined responsibilities, limited tool permissions, human approval requirements, response testing, activity records, and updates to instructions as the business changes.
For sensitive or high-impact workflows, human review can remain part of the process before an action is completed.
Secure Connections to Business Applications
Many Output Systems implementations connect with applications a business already uses through APIs, authentication permissions, service accounts, webhooks, or approved integration platforms.
Connections are designed around the permissions required for the approved workflow. Availability, permissions, data handling, and integration capabilities are also subject to the policies and technical limitations of the third-party platforms being connected.
Connected platforms and AI providers may process information according to their own privacy policies, service terms, and technical infrastructure. Integrations are therefore assessed during technical scoping before they are confirmed.
Retention, Monitoring & Recovery
Not every type of information needs to remain available indefinitely. Retention, archival, deletion, backup, and recovery requirements can be considered during system design based on operational needs and the capabilities of connected providers.
Custom systems and integrations can also experience technical errors or unexpected behaviour. Appropriate logging, monitoring, and recovery processes can help identify problems, investigate their cause, and restore the intended operation.
Where ongoing management is included, Output Systems can continue monitoring integrations, addressing technical issues, updating permissions, maintaining dependencies, and adjusting systems as technology and business requirements change.
Privacy and Security Continue After Launch
Privacy and security requirements can evolve as employees change, new applications are introduced, AI knowledge is updated, APIs change, and business processes develop.
Ongoing reviews can examine areas such as user access, connected applications, AI context, data movement, retention requirements, recurring errors, technical updates, and opportunities to strengthen the system.
Major expansions, new applications, or significant changes to the system may require additional analysis and implementation.
Shared Responsibility
Protecting business information involves Output Systems, the client, and the third-party platforms used by the implementation.
Output Systems is responsible for designing and managing the technical implementation within the agreed scope. Clients remain responsible for determining what information may be used, defining internal access and policies, confirming consent requirements, reviewing sensitive decisions, and understanding their legal or regulatory obligations.
Third-party providers remain responsible for their own applications, infrastructure, service availability, privacy terms, supported permissions, and provider-level changes.
Privacy & Regulatory Considerations
Depending on the business, location, information involved, and system being implemented, privacy and communication requirements may include considerations related to frameworks such as PIPEDA, GDPR, CCPA, CASL, or other applicable requirements.
These considerations can be incorporated into system design, but they do not by themselves guarantee legal or regulatory compliance. Requirements vary by jurisdiction, industry, data type, and use case.
Output Systems is not a law firm and does not provide legal advice. Clients should obtain appropriate legal guidance regarding their specific privacy, regulatory, and compliance obligations.
Plan Privacy and Security Before the System Is Built
Tell us what information the system will use, who needs access, and which applications are involved. We can incorporate privacy, security, access, and responsible AI requirements into the system from the beginning.