Data Governance Statement

At Time On Target, we believe responsible system design, automation, and AI implementation require thoughtful data stewardship and operational transparency.

Our work often involves configuring technology environments that influence how information moves, how communications are delivered, and how business processes are executed. This statement outlines the principles that guide our approach to data governance.

Clarity of System Ownership

Time On Target operates in two distinct data roles depending on context.

Client System Context (Processor / Implementer)

When providing services inside client-owned systems, the client remains the data controller and system owner.

Time On Target acts as a:

Technical consultant
Automation implementer
Systems configurator

Clients remain responsible for:

Lawful data collection
Messaging consent
Regulatory compliance
Data retention decisions
Platform usage policies

Time On Target Internal Systems (Controller)

When individuals interact directly with Time On Target, including through our website, outreach programs, consulting processes, or educational content, Time On Target acts as the data controller and system owner.

We determine how information is collected, used, stored, and communicated within our own operational systems.

Purpose-Driven Data Access

We aim to access only the information necessary to configure systems, troubleshoot workflows, or deliver agreed consulting outcomes.

Where possible, we encourage structured permissions, role-based access, and controlled data exposure practices.

Responsible Automation

Automation can improve efficiency and consistency, but it also introduces operational risk if not properly supervised.

We encourage clients to:

Monitor automation performance
Review campaign behavior
Validate communication timing and targeting
Maintain internal ownership of automated processes

Automation is most effective when treated as a managed operational capability rather than a one-time technical deployment.

Human Oversight of AI Systems

AI-enabled tools can support decision-making, content development, and workflow optimization. However, AI outputs may evolve or produce unintended results.

We advocate for human review of AI-generated messaging, segmentation logic, and operational decisions prior to large-scale deployment.

Integration Awareness

Modern revenue and communication systems often require connecting multiple platforms. These integrations can create complex data flows and dependency chains.

We encourage ongoing review of system architecture to ensure integrations remain aligned with business goals, compliance requirements, and acceptable risk thresholds.

Continuous System Ownership

Technology environments change over time. Platform updates, staffing changes, campaign shifts, and evolving strategies can all impact system behavior.

Organizations should maintain clear internal ownership of their automation environments and periodically audit workflows, permissions, and communication settings.

Transparency & Collaboration

Effective governance requires collaboration between leadership, marketing, sales, operations, and technical stakeholders.

We strive to communicate clearly about how system configurations may influence business processes, customer experiences, and data movement.

Ongoing Evolution

Automation and AI capabilities continue to advance rapidly. Governance practices should evolve alongside these technologies.

Time On Target remains committed to thoughtful system design, responsible implementation, and continuous learning in the application of automation and AI.

Contact

If you have any questions or concerns about this Data Governance Statement, please contact us at:

Email: support@time-on-target.com
Phone: (612) 930-3610
Address: 2299 293rd LN NW, Isanti. MN 55040