Decision DNA

Decision DNA provides enterprises with a governance infrastructure that defines and enforces what AI agents are authorized to do, reducing security incidents and accelerating AI adoption.

Updated 2 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Enterprises deploying AI agents often lack a formal authorization framework that defines what actions agents are permitted to take, leading to security incidents, governance failures, and stalled AI adoption. Without clear decision ownership and compliance mechanisms, AI initiatives can leak value and stall between pilot and production phases.

Solution

Decision DNA provides a governance infrastructure that establishes explicit authority for AI agents before they act. Their Decision DNA Diagnostics evaluate hundreds of capabilities across multiple domains to surface decision gaps, governance failures, and logic mismatches that impede AI performance. The diagnostic results form the basis for a proprietary Registry of Authority, a structured architecture that codifies permissions, ownership, and compliance for AI agents. This framework supports M&A integration, AI Center of Excellence design, and go‑to‑market transformations, enabling organizations to prioritize, design, govern, orchestrate, and scale AI deployments with reduced security risk and clearer accountability.

Target Audience

Primary customers are enterprise leaders responsible for AI strategy, such as M&A integration teams, AI Center of Excellence managers, and product groups launching agentic or consumption‑based AI solutions.

Features

Comprehensive diagnostics assessing 316 capabilities across 21 domains to identify decision and governance gaps
Targeted M&A Operations and AI Center of Excellence diagnostics that measure actual team behavior versus documented playbooks
Quantitative scoring of integration decisions, compliance with playbooks, and maturity of capabilities
Prioritized improvement recommendations ranked by impact on deal outcomes and feasibility
Proprietary Registry of Authority architecture that defines and enforces AI agent permissions and decision ownership
Alignment of AI governance with business value drivers to prevent post‑close underperformance and pilot‑to‑production stalls