The biggest challenges enterprises face with implementing AI solutions is identifying uses cases that would result in quantifiable benefits, secure funding for AI initiatives, a roadmap to implement the uses cases and data governance.
However, a systemic and an agile approach can help organizations to create a business case for AI initiatives, secure stakeholder buy-in and realize the power of AI.
A critical upfront exercise for any organization embarking on the AI journey or looking to leapfrog the progress on AI starts with creating a business case. cloudrho engages with its customers for 2 to 4 weeks to achieve the following. This exercise typically engages the business and data executives extensively.
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A structured workshop to understand the business objectives and identify AI use cases that will accelerate the delivery of the objectives in a differentiated approach. cloudrho has already identified several hundred use cases that are industry specific that will be leveraged for this exercise.
It is estimated that an organization will need to spend 1 to 2% of their revenue on AI, however most of this will have to be funded from current budgets. Optimization will be the key lever to free up cash for next-gen initiatives, which cloudrho can help leveraging its Digital Consulting services.
In partnership with proven AI focused service providers, cloudrho has extensive AI implementation expertise. Be it designing an enterprise’s AI solution or developing an LLM/AI solution or conducting exploratory experiments, cloudrho’s AI experts can handhold enterprise along the journey.
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