DACS Executive Brief

Why this brief matters

Enterprises have invested heavily in data platforms, analytics, AI, and governance. Yet these capabilities do not, by themselves, establish whether evidence is authorized and sufficiently controlled for reliance in a material business decision.

The Defensible Analytics Control Specification (DACS) addresses this accountability gap through a vendor-neutral, implementation-independent approach to decision-evidence readiness.

DACS brings together five essential considerations: the intended decision, its supporting evidence, the authority governing its use, the applicable controls, and the recorded outcome. Together, they provide a structured basis for determining whether evidence use may proceed, proceed under approved constraints, or must be stopped or quarantined.

What executives will gain from this brief

• Understand the accountability gap between producing analytical results and establishing authority to rely on their evidence.
• Distinguish governance from decision-evidence readiness, including why existing data and AI capabilities alone do not resolve the issue.
• Understand the DACS control model, its decision-use boundaries, and how evidence and control outcomes are recorded.
• Identify a bounded starting point through the DACS First Look, beginning with Day One and extending only where the evidence warrants.

What DACS does not claim

DACS does not guarantee decision correctness, replace existing governance, or establish legal compliance. It defines a disciplined approach to making evidence reliance more explicit, reviewable, and accountable.