Whenever possible, we prefer A/B testing as the gold standard for measuring impact. When A/B testing is not feasible, we quantify value through measurable time savings, efficiency gains, and other performance metrics directly attributable to the solutions we deliver.

No. All solutions are built within your existing environment or within new infrastructure that we design and stand up on your behalf. Both the data and the solutions remain fully owned by your organization.

Machine learning is a type of computer model that learns from historical data and patterns to make accurate predictions about future outcomes. These models consistently outperform traditional statistical approaches and human intuition alone, and their real-world accuracy can be rigorously measured and validated.

No. We do not compete with frontier model providers such as Anthropic, OpenAI, xAI, or Google. Instead, we operate as specialized consultants who leverage the most advanced available technologies and apply them effectively within your organization.

An AI Fiduciary is a Mudrick & Associates team member who operates under a revenue-share model. This structure creates a direct financial incentive to maximize measurable, long-term value for our clients—similar to how a financial advisor is aligned with the growth of a client’s portfolio.

Most clients begin realizing measurable value within 6–12 months. The exact timeline depends on factors such as company size, change management readiness, existing infrastructure and data maturity, and the initial use cases selected.

In our experience, the majority of mid-market companies that attempt to stand up an in-house data science or AI team encounter significant challenges. These include high costs, difficulty attracting and retaining specialized talent, and a low overall success rate—most newly formed data science departments fail within the first three years.

Please reach out to contactus@fiduciaries.ai to ask questions or schedule an introductory call. We’ll discuss your organization’s goals, current challenges, and vision for growth.