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Global Consumer Products Company Case Study

Establishing Data Governance to Enable Responsible AI Innovation

Establishing a data governance framework for a global consumer products company to support responsible AI innovation with clear ownership, standards, and risk controls.

The Challenge

As a global consumer products company accelerated its use of data and analytics to support AI-driven initiatives, leadership recognized a critical challenge: innovation was moving faster than governance. Data was widely used across the organization, but ownership, usage standards, and risk controls were inconsistent, creating uncertainty around how data could be responsibly leveraged for AI.

Without a clear data governance foundation, executives lacked confidence that AI initiatives aligned with legal, ethical, and business expectations. The Chief Data Officer needed a practical approach that would enable innovation while managing risk, without slowing progress or overburdening teams.

The Fellsway Approach

Fellsway partnered with the Chief Data Officer and cross-functional stakeholders to establish a data governance framework designed specifically to support AI adoption at scale.

Our approach balanced innovation enablement with risk and accountability:

  • Data Ownership and Accountability Definition
    Fellsway worked with business leaders to clarify data ownership and stewardship responsibilities, ensuring accountability across the data lifecycle.
  • Data Usage Standards and Guardrails
    Fellsway helped define clear standards for data use, sharing, and AI training aligning business objectives with legal, privacy, and ethical considerations.
  • AI Risk Controls and Governance Alignment
    Fellsway supported the integration of data governance with AI risk management practices, enabling informed decision-making around model development, deployment, and use.
  • Cross-Functional Collaboration
    The engagement brought together business, legal, and technology teams to establish shared understanding and consistent governance processes.

The Results

With a solid data governance foundation in place, the organization was able to advance its AI initiatives with greater confidence and clarity:

  • Improved transparency and consistency in how data is owned and used.
  • Clear governance guardrails supporting responsible AI development.
  • Increased executive confidence in AI-related risk decisions.
  • Faster, more trusted progression of AI initiatives aligned to business goals.

As the Chief Data Officer shared:

“Fellsway helped us establish the data governance foundation we needed to move forward with AI confidently. They worked with our business, legal, and technology teams to define data ownership, usage standards, and risk controls that aligned with our innovation goals. As a result, we were able to advance our AI initiatives with greater trust, transparency, and executive confidence.”

The Takeaway

Successful AI adoption starts with strong data governance. Without clear ownership, standards, and risk controls, innovation can quickly outpace trust.

Fellsway helps organizations build practical data governance programs that enable responsible AI balancing innovation, risk management, and executive confidence.