1
Source inventory
Map of systems, fields, owners, access, and data flows.
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Decision guide05Data and AI
Data governance and AI readiness
Data governance defines how information is collected, named, protected, shared, and used to support decisions and automation.
6 areas analyzed3 min read
Direct answer
Data governance is the set of rules, roles, and controls that ensure data quality, security, and responsible use.
We analyze data sources, CRM, ERP, forms, permissions, consent, quality, duplicates, documentation, and AI potential. Without reliable data, dashboards, automation, and AI assistants create limited value.
Signs of a data problem
01
Numbers differ across teams or tools.
02
Customer data is incomplete, duplicated, or poorly qualified.
03
Access and ownership are not clearly defined.
04
Reports require heavy manual manipulation.
05
AI projects are limited by data quality or fragmentation.
What you get
2
Governance rules
Ownership, naming standards, access, retention, and consent rules.
3
Data quality plan
Concrete actions to fix duplicates, missing fields, and inconsistencies.
4
AI readiness
Assessment of data usable for RAG, agents, automation, and reporting.
Our method
Phase 101
Inventory data
We identify sources, owners, access, formats, and existing integrations.
Phase 202
Assess quality
Completeness, duplication, freshness, consistency, and traceability are reviewed.
Phase 303
Define governance
We clarify rules, roles, policies, and applicable compliance requirements.
Phase 404
Prepare AI uses
Data is structured for automation, internal search, RAG, and dashboards.
Typical deliverables
Data inventory
Ownership matrix
Data quality plan
Access rules
AI readiness roadmap
Frequently asked questions
01Is data governance only an IT topic?+
No. It involves leadership, sales, operations, marketing, finance, and any team that creates or uses data.
02How does this relate to AI?+
AI agents, RAG, and automation rely on structured, reliable, accessible, and properly governed data.
03Is this related to privacy law?+
Yes when personal information is collected or processed. We include access, consent, retention, and responsibility questions.
Next step
Is your data ready to work for you?
We can diagnose data quality and structure governance that supports your AI ambitions.