AI Governance Strategy

Establish clear oversight, accountability, and process ownership for all AI and ML activities within your organization. We help define ethical usage policies and build operational guardrails so innovation doesn’t outpace control.

Data Integrity & Privacy

Evaluate how data is collected, processed, and used in AI workflows. We focus on preventing data leakage, model poisoning, and privacy violations to ensure trust from input to output.

Security in the AI Lifecycle

Identify threats across model training, storage, and deployment. We assess model manipulation risks, insecure APIs, and shadow AI usage to give you visibility and confidence throughout the lifecycle.

Risk Framework Alignment

Align your AI program to structured standards like NIST AI RMF, ISO 23894, or ISO 42001. Our approach turns abstract principles into practical policies, controls, and measurable maturity models.

Third-Party Tool Evaluation

Assess the security and governance posture of AI tools, APIs, and services in use across your organization. We help you make informed decisions and establish risk-based procurement and usage guidelines.

Responsible AI Readiness

Gauge how prepared your organization is to use AI ethically and defensibly. We provide clarity on risks, capabilities, and next steps to help you mature at the right pace for your industry and risk appetite.

AI systems are redefining how businesses operate, but they come with new risks that traditional cybersecurity and governance frameworks are not equipped to handle. As organizations embrace machine learning, generative AI, and intelligent automation, they must also confront challenges like model transparency, bias, data privacy, and evolving threat vectors.

Without proper oversight, AI can inadvertently expose sensitive data, introduce compliance gaps, and erode trust. Shadow AI, where teams deploy tools without formal approval or security review, only increases these risks. At the same time, new regulations and standards are emerging, from the NIST AI Risk Management Framework to ISO 42001, creating pressure to operationalize responsible AI at scale.

Timberline Advisory Group helps businesses prepare, govern, and secure their AI journeys. We don’t treat AI as a buzzword or bolt-on. Instead, we embed risk-aligned strategies into the foundation of your AI initiatives, ensuring that innovation doesn’t come at the cost of security or accountability.

Whether you’re exploring your first AI use case or scaling a portfolio of AI-driven tools, we provide the leadership, structure, and clarity to help you move forward with confidence. Our approach is grounded in real business outcomes: reducing exposure, aligning to regulatory expectations, building internal trust, and creating sustainable AI governance models.

Organizations that want to lead with AI must also lead with intention. We help you build the endurance, foresight, and security needed to operate at the highest level.