Practice — 03

Governance Practice

Lytton Drive helps organizations establish the policies, roles, controls, and stewardship processes required to manage Data and AI responsibly.

Practice Overview

Governance at Lytton Drive

Lytton Drive helps organizations establish the policies, roles, controls, and stewardship processes required to manage Data and AI responsibly.

Our Governance Practice focuses on Data Governance, AI Governance, data ownership, stewardship, data standards, privacy, security, quality, metadata, access controls, and responsible AI oversight.

Organizational Challenges

What gets in the way

Organizations often struggle with inconsistent data definitions, unclear ownership, poor data quality, unmanaged access, weak compliance controls, and ungoverned AI experimentation.

Data Governance defines how data is owned, managed, classified, protected, monitored, and used across the enterprise.

AI Governance defines how AI use cases, models, data inputs, outputs, risks, controls, accountability, and ethical considerations are reviewed and managed.

Together, Data and AI Governance reduce operational risk, improve trust, strengthen compliance, and create the control framework needed for responsible data and AI adoption.

Advisory Services

How we engage

Lytton Drive provides advisory services to help organizations design and operationalize Data and AI Governance programs.

Services may include governance maturity assessment, governance operating model design, data ownership and stewardship model definition, policy and standards development, data classification design, data quality governance, metadata and lineage governance, AI governance framework design, AI risk assessment, and governance roadmap development.

The focus is practical implementation: clear accountability, usable policies, defined controls, and governance processes that can be embedded into daily business and technology operations.

Data Governance Program Framework

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Training Services

Build the capability in-house

Lytton Drive offers training for professionals and teams responsible for managing, governing, or using enterprise data and AI capabilities.

Training topics include Data Governance fundamentals, Data Stewardship, data ownership, data quality governance, metadata and lineage, privacy and security controls, AI Governance, responsible AI use, AI risk management, and governance operating models.

Courses are designed for data owners, data stewards, governance leads, business leaders, data leaders, architects, risk teams, compliance teams, and AI program stakeholders.

Software Solutions

Accelerators for the practice

Lytton Drive develops software-enabled templates, workflows, and accelerators that help organizations design and implement Data Governance policies and stewardship processes.

Solutions may include Data Governance policy templates, data standards libraries, stewardship role charters, business glossary templates, data dictionary templates, issue management workflows, data quality rule catalogs, data classification frameworks, governance committee operating models, AI governance checklists, and AI risk assessment templates.

These accelerators help teams standardize governance practices, reduce design effort, improve consistency, and move faster from policy definition to operational adoption.

Data Governance Program Template

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Talk to our Governance practice

Tell us where you are today and we will help you define the next practical step for your Data and AI initiatives.

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