The focus on business transformation, growth, and resiliency using generative AI capabilities is at an inflection point for senior business and technology leaders, the C-suite, and boards of directors.
Leaders face difficult choices regarding models, data, security, user experience, ethical policies, and the overall business value of their AI investments. These decisions are fraught with business risks.
What’s more concerning is that executives are spending valuable resources and time building models disconnected from the processes and business outcomes GenAI is intended to improve. This disconnect is increasing business risks, as models are being developed without the ability to become embedded into a system of action. Very soon, GenAI models will be built directly into a system of action.
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A Consolidated Approach
The creation of strategies today must move from proof of concept to proof of profits through well-defined use cases and embedded capabilities. Competing effectively and efficiently in the future requires leaders to take pragmatic actions now to define their AI platform of the future.
The company deployed embedded predictive intelligence in core processes to identify signals more quickly for employees, thus accelerating time to resolution. This capability was augmented with a powered virtual agent that answers questions using a unified knowledge base of third-party data sources.
Many of these processes have been redesigned, enabling faster responsiveness and the elimination of manual toil and low-value steps. The organization has experienced a cascading value effect as agents and employees can return to work and solve problems faster, leading to exceptional customer experiences.
