Your AI Is Smart. But Does It Know Your Business?

The CoStrategix Enterprise Context Accelerator™ transforms fragmented enterprise knowledge into governed, query-ready context – helping AI generate more accurate, relevant, and explainable answers.

Give AI the business meaning behind your data.

Access to Data Is Not the Same as
Understanding the Business

Your company’s meaning is distributed across many places:

An AI model may find this information without fully understanding how the pieces relate – or which definitions and
rules should govern a particular question.

The Enterprise Context Accelerator™ creates a continuously maintained context layer that connects enterprise knowledge, data semantics, and AI interactions. It gives AI the business context required to interpret questions correctly, generate better queries, and produce answers that can be traced back to trusted sources.

Move From Enterprise Knowledge to Context-Aware AI

Connect

Ingest selected SOPs,
product documentation,
glossaries, policies,
SharePoint knowledge, and data metadata.

Understand

Identify terminology,
entities, relationships,
metrics, and exceptions – generating a visual
semantic model.

Govern

Allow business experts to review context, capture
user feedback, and
continuously refine
definitions.

Active Agents

Inject the right context into every query – help AI agents make informed,
reliable business decisions.

See the Difference

Better interpretation. Better queries. More relevant answers. Greater traceability.

Background

AI Without Context Accelerator™

Background (1)

AI With Context Accelerator™

Add Business Context Without Replacing
Your Data Platform

The Enterprise Context Accelerator™ complements the data,
analytics, and AI investments you already have.

It can be configured to work alongside
environments such as:

Build Context That Can Be Trusted and Improved

Platform-Aligned

Designed to complement existing data, analytics, knowledge, and AI architectures.

Human-Governed

AI proposes terminology, relationships, and context. Business and data experts remain in control of what is approved.

Source-Traceable

Definitions, guidance, and generated answers can be connected to the documents, metadata, and business rules that informed them.

Continuously Improving

Source updates, user feedback, and expert review can help keep the context current and relevant.

Start Small

Begin with one domain, one business problem, and a focused set of knowledge sources before expanding across the enterprise.

Download the Enterprise AI Context Playbook

A practical guide for helping AI understand the language, relationships,
rules, and operating knowledge behind your enterprise data.

The playbook explores:

Why data access alone is not enough for enterprise AI

The difference between information retrieval and business context

The components of an enterprise context layer

How semantic models, documents, policies, and feedback work together

How semantic models, documents, policies, and feedback work together

How context can improve AI queries, answers, and agent actions

Your Industry. Your Company. Your Data.

Transportation

Retail

Manufacturing

Insurance

Banking

Life sciences

Healthcare

Transportation

Retail

Manufacturing

Insurance

Banking

Life sciences

Healthcare

Help Your AI Understand the Business Behind the Data