Codd AI
# The Codd AI Approach

AI is Only as Good as its Foundation

Codd AI builds a governed foundation of ontologies and data models that give AI a shared understanding of your business, before answers are generated.

Codd AI
Governed Semantic FoundationOntologies • Data Models • Metrics
Business Ontology
Metric Definitions
Business Rules
Data Lineage
Entity Relationships
Business Context
Governance
Access Policies

Govern the foundation before you trust the output.

1Foundation First

Ontology, Data Models, and Human Certification

Every reliable analytics system starts with a trusted foundation. Codd AI begins by defining business meaning explicitly, not implicitly.

This ensures business knowledge is not scattered across spreadsheets, dashboards, or tribal knowledge, but captured, governed, and shared.

Why it matters: AI and analytics are only as trustworthy as the foundation they rely on. Human certification ensures accuracy, accountability, and confidence from day one.

Ontologies

Define business concepts, terminology, and relationships

Data Models

Map concepts to real data, metrics, and logic

Human Certification

Review, validate, and approve critical definitions

Raw Data Tables
Semantic Layer
Business Understanding

One version of the truth, consistent across teams and tools

2Semantic Understanding

Turning Data Into Business Meaning

Raw data has structure, but not meaning. Codd AI creates a semantic layer that translates technical data into business understanding.

  • What metrics mean and how they are calculated
  • How entities relate across systems
  • Which assumptions and rules apply

This semantic understanding becomes the shared language used by analytics tools, AI agents, and business users alike.

3Governance by Design

Trust Is Embedded, Not Added Later

Governance is not an afterthought in the Codd AI approach. It is part of the foundation. This allows organizations to scale analytics and AI without compromising compliance, security, or trust.

Clear Ownership

Defined accountability for every metric and definition

Policy Controls

Role-based access and security policies

Explainability

Full auditability for every insight generated

Result: AI that is safe to deploy at enterprise scale
4Context-Aware AI Reasoning

From Prompting to True Understanding

Most AI tools are bolted onto existing analytics stacks and rely on prompts alone. Without business context, they guess.

Codd AI enables AI to reason using certified business logic, not just schema or text:

  • AI operates within approved definitions and rules
  • Every answer is grounded in governed context
  • Insights are explainable and traceable

This transforms AI from a response engine into a trusted analytical partner.

Traditional AI

Prompt → Schema → Guess

Codd AI

Prompt → Certified Business LogicTrusted Answer

5Built Once. Used Everywhere.

One Approach Across the Enterprise

The semantic foundation created by Codd AI is reusable across all your analytics and AI initiatives. Instead of rebuilding logic in every tool, teams rely on a single, governed foundation.

Business Intelligence

Dashboards and reports

Conversational Analytics

Copilots and chat interfaces

Embedded Analytics

AI agents and applications

Impact: Less rework. Fewer disputes. Faster insights.
6Why It Works

Why the Codd AI Approach Delivers Results

Organizations adopting the Codd AI approach achieve measurable improvements across their analytics and AI initiatives.

Reduced Manual Effort

Automated modeling and governance

Consistent Metrics

Same definitions across all teams

Faster Adoption

Accelerated analytics and AI rollout

Trusted Insights

Confidence in every decision

This is how teams move from experimental AI to analytics they can depend on.

Codd AI

See the Approach in Action

Explore the platform to see these principles delivered in practice.