AI Readiness
AI does not create maturity. It tests and reveals it.
Artificial intelligence has become central to the CEO’s and CFO’s responsibilities. Boards and investors expect executive teams to use AI to improve performance. Yet many organizations struggle to produce meaningful results.
The reason is simple.
AI does not create maturity. It reveals it.
It does not reconcile conflicting numbers.
It does not break down silos.
It does not establish an expectation for transparency.
It does not create a culture of truth.
If performance drivers are incomplete or not trusted, AI will confidently produce conclusions based on flawed inputs.
AI must operate on a foundation of trusted business facts and, ultimately, engineered business contex.
Visibility Creates Immediate Value
The first value of Trusted Facts is simple visibility. When Trusted Facts are established in the right places first, as identified through discovery, clarity emerges quickly. Misalignment between departments and with strategic goals becomes immediately visible. When the drivers of performance become visible and consistently defined, leaders gain immediate awareness of issues that were previously hidden.
This visibility produces highly actionable insight. Focused initiatives establish Trusted Facts that deliver measurable business impact. The value created funds the next cycle of improvement.
Value begins with simple clarity and expands as additional drivers of performance become visible and governed. Executives should recognize that AI is not required to deliver significant business impact..
The simple act of making trusted drivers visible reveals opportunities that can be addressed immediately.
Truth Domains™
A KPI is either a driver of a business outcome or the business outcome itself. Truth Domains™ represent the collection of drivers that produce an aggregate KPI’s performance. An aggregate KPI is a fundamental performance metric such as revenue, margin, or the operating cash cycle. While the aggregate KPI is important to know, effective performance management requires understanding and managing the drivers that produce it.
As Trusted Facts are established within a specific Truth Domain, a deeper understanding of the factors influencing performance emerges, allowing leaders to identify opportunities to improve business results.
Revenue, for example, is influenced by multiple operational drivers. One important driver in B2B environments is on-time, in-full (OTIF) delivery. If OTIF declines, revenue performance may suffer. But understanding the OTIF issue requires investigating the drivers of OTIF to determine which factors are putting downward pressure on delivery performance, whether related to inventory availability, production constraints, logistics performance, or increased demand.
The Truth Domain provides clarity by revealing the full business context of the issue, allowing more informed debate and decision-making about the best course of action. Time is spent deciding what to do rather than debating what is happening. This level of understanding and collaboration should exist before AI enters the conversation.
As a second example, consider the operating cash cycle. Measures such as days sales outstanding (DSO) and days inventory on hand (DSI) describe the outcome, but leaders must understand the underlying causes. Payments may take longer due to OTIF or invoicing issues. Inventory may not turn as expected due to shifts in demand, forecasting biases, or supply chain lead times.
Truth Domains take time to fully develop because the Trusted Facts of each driver must be defined, developed, and certified.
As more Trusted Facts are established, the drivers of the Truth Domain become certified and the domain itself becomes trusted. From this foundation, Operational Truth emerges.