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Client deploymentAdvisory

Case study / Aug 4, 2025

Proposals, drafted by AI in an instant

With the existing setup, it was difficult to maintain consistent content quality, and individual handling and customization were constantly required for each client. On top of that, generative AI output varied, creating stability issues in operational performance as well.

Illustration of a person struggling with their workload

Project overview

Challenge

With the existing setup, it was difficult to maintain consistent content quality, and individual handling and customization were constantly required for each client.

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Approach

In addition to automatically generating sales materials and supporting product development, trialed the introduction of generative AI models.

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Outcomes

Maintained content quality while reducing the effort needed for client interactions, achieving greater efficiency across operations overall.

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Challenge

With the existing setup, it was difficult to maintain consistent content quality, and individual handling and customization were constantly required for each client.

On top of that, generative AI output varied, creating stability issues in operational performance as well.

Approach

In addition to automatically generating sales materials and supporting product development, trialed the introduction of generative AI models.

Proceeded with feasibility testing toward full-scale application in operations.

Illustration depicting generative AI automatically producing sales materials

Outcomes

Maintained content quality while reducing the effort needed for client interactions, achieving greater efficiency across operations overall.

Also provided operational support for using generative AI models stably, leading to ongoing operational improvement.

Illustration depicting operational efficiency
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