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Situation
The Client saw a major opportunity to use GenAI to raise the quality of work, increase efficiency, and create more impact, while reducing a growing operational backlog and protecting service levels. GenAI was clearly needed to move forward, and several pilots were launched across the organization.
These pilots demonstrated real potential, but none of them made it into production. What was missing was not technical capability, but a clear path from experiment to deployment. The organization lacked a structured way to assess risks, define controls, and make confident go-live decisions, creating a clear need for support. The Client asked Nemko Digital to bring one priority GenAI use case into production while building a solid, reusable foundation for future GenAI initiatives.
Challenges
No shared view of which GenAI risks were relevant, their severity, or which controls would be sufficient.
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Legal and regulatory obligations not translated into clear operational requirements.
Fragmented ownership and unclear responsibilities across teams.
Long internal debates focused on interpretation rather than decisions.
Uncertainty around acceptable risk levels stalled go-live decisions.
Key Metrics
To support the transition from experimentation to production, Nemko Digital established a structured GenAI risk and control foundation tailored to the client’s priority use case.
This work provided the clarity needed to assess remaining risks, define concrete control improvements, and enable confident go-live decisions, while creating a reusable framework to support future GenAI initiatives across the organization.
Use-case-specific GenAI risks with remaining net risk
Controls mapped across the landscape
Of risks classified as significant
New controls and updates defined
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