Discover how Fractional AI supports its clients to solve the world’s most valuable problems by automating workflows through AI.
White Paper
Generative AI is a transformative technology with a glaringly obvious flaw: it’s unpredictable. Many business leaders see AI’s non-deterministic nature and potential for hallucination as proof that the technology isn’t ready for enterprise use cases. However, the important question isn’t “will AI ever make mistakes?,” but rather “can we build reliable systems using this unpredictable ingredient?” The unequivocal answer is yes, and this whitepaper provides a practical framework for doing so.
A key difference between AI projects that stall at proof of concept and those that make it to production is proper scoping — from disqualifying projects ill-suited for LLMs, to clearly defining project boundaries, ensuring data readiness, and assembling the right team. The good news: the barrier to successfully deploying enterprise AI projects is lower than many realize. This whitepaper offers a practical guide to scoping any enterprise AI project, answering: Which projects are strong candidates for generative AI, and how do I get started?
Every enterprise technology company has a “delivery” function that assists customers in configuring and installing their software and onboarding their customer data. This function is among the first to experience transformative automation through AI, resulting in significant cost savings and enhanced customer experience. Generative AI will not replace delivery teams entirely but will provide a co-pilot experience, where AI works alongside and assists team members to enhance productivity and effectiveness. This white paper serves as a guide for creating such a “Product Implementations Co-Pilot” for your company.
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