Focus Areas
Focus Areas
The issues David advises on, where AI, data, and technology accountability converge.
These are the issues David advises on most consistently. The through-line is accountability: who owns the outcome, who holds the decision rights, and what must be true for the data, AI, and technology behind a consequential decision to be trusted, governed, and defensible when it is examined.
Each focus area is a teaching layer. When the issue calls for action, the page hands you to the right advisory engagement underneath.
01
AI Governance
From policy to executive accountability.
Explore focus area02
Data Modernization
Modernization fails when the platform changes faster than the accountability around it.
Explore focus area03
Data Governance
The operating foundation for trusted decisions and responsible AI.
Explore focus area04
AI Readiness
AI strategy depends on whether the data foundation can carry the weight.
Explore focus area05
Technology Accountability
When technology decisions become enterprise consequences.
Explore focus area06
Executive Decision Integrity
The leadership discipline behind trusted AI, data, and technology decisions.
Explore focus areaThe Three Advisory Lenses
A common frame across every focus area.
Foundation
Whether the structures, controls, and operating conditions an issue depends on actually exist in practice, not only in policy.
Accountability
Who owns the outcome, who holds the decision rights, and who answers when the issue produces a consequence the enterprise cannot afford.
Trust
Whether the board, regulators, customers, and the executive team can rely on the result, and be told the truth when something is off.