Governance controls forpractical AI deployment
SmartSpace includes governance controls for how AI use cases are configured, accessed, monitored, and managed. Output filtering, audit trails, policy enforcement, and reporting capabilities are available across configured use cases.
Output filtering and policies
Configurable per workspace
Audit trails and reporting
Comprehensive activity records
A governance framework for configured use cases
Governance controls in SmartSpace are configured as part of setting up each use case, rather than added later. Data access, user roles, output rules, audit logging, and policy enforcement are defined before a workspace goes live.
When additional use cases are configured, the same governance controls apply. Organisations do not need to rebuild their governance approach for each new deployment.
The goal is AI that organisations can deploy with appropriate oversight in place, supporting practical use rather than creating an additional approval burden.
What governance controls support
- Deploy AI use cases with governance controls in place
- Give IT and compliance teams visibility into platform activity
- Onboard new teams within a configured governance framework
- Add use cases without rebuilding governance from scratch each time
- Stay aligned with internal policies as AI use evolves
- Provide audit evidence for internal and external review
Governance across the use case lifecycle
Governance features help organisations maintain control across configuration, access, monitoring, and management of each AI use case.
Configure
Define data sources, user roles, output rules, and policies before a use case goes live. Governance controls are configured as part of the initial setup.
Access
Users interact through governed workspaces. Role-based access controls and sensitivity settings are applied at the workspace level.
Monitor
Audit logs, output events, and usage data are available for review. Activity can be monitored through your existing tooling and reporting.
Manage
Governance controls can be updated as your organisation evolves. Adjust data access, output rules, or user permissions without a full reconfiguration.
Governance capabilities across data, outputs, users, and workflows
These governance capabilities are available across configured SmartSpace use cases, without requiring a separate governance module.
Output filtering
Configure what AI outputs look like before they reach users. Filter by content type, sensitivity level, or policy rule to help outputs stay within your approved boundaries.
Audit trails
Queries, responses, and data access are logged to support compliance and review. Governance and compliance teams have access to a comprehensive record of platform activity.
Data quality management
Define which data sources feed into each workspace and under what conditions. Configure which data is in scope so that what reaches the AI layer reflects your intentions.
Policy enforcement
Governance rules are configured at the workspace level. Your internal policies and enterprise requirements can be applied consistently across configured use cases.
Integration with existing tools
SmartSpace is designed to work alongside your existing governance tooling so governance capabilities complement rather than duplicate what your organisation already manages.
Data retention and archiving
Set retention schedules aligned to your internal policies. Interaction data can be archived or removed on the timeline your organisation defines.
Reporting and analytics
Dashboards provide visibility into usage, access patterns, policy events, and output volumes across workspaces. Governance and leadership teams can review activity without needing direct platform access.
Governance applied across configured use cases
Governance capabilities work alongside the SmartSpace deployment model. There is no separate governance module to set up independently.
Each workspace has its own data access boundaries, role-based access configuration, and output rules. Teams work within a governed environment with controls applied at the workspace level.
Multi-step AI workflows can be configured with the same governance controls as workspaces. Access controls, filtering, and audit logging apply across configured workflow steps.
SmartSpace is deployed on Azure. Governance controls apply across configured use cases and work alongside the broader deployment model.
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