By deploying holistic and integrated AI capabilities enterprise-wide through automation, businesses can realize maximum value from their AI investments
Despite the huge promise surrounding AI, many organizations are finding their implementations are not delivering as hoped. Research from Gartner indicates that approximately 30% of generative AI (GenAI) will not make it past the proof-of-concept phase by the end of 2025. This is due to factors such as poor data quality, inadequate risk controls, and escalating costs.
The Limits of Siloed AI Implementations
According to experts from SS&C Blue Prism, enterprises often implement AI in siloes. When AI solutions are designed to address isolated problems without integrating broader organizational data, they miss transformative opportunities. This narrow approach increases data quality issues, as discrepancies in data formats and standards emerge across disconnected teams, reducing the reliability of AI outputs.
Moreover, siloed initiatives can lead to duplicated efforts, with different departments independently developing overlapping AI capabilities, resulting in wasted time and diminished efficiency.
Taking a Holistic Approach to Enterprise AI
However, when AI is effectively implemented, it can enhance productivity and innovation while managing costs. According to PwC, organizations can achieve productivity gains of 20% to 30% through AI combined with a comprehensive automation strategy.
SS&C Blue Prism emphasizes the importance of deploying AI technology across the enterprise and integrating it with business automation capabilities. This includes using various AI technologies, such as generative AI and robotics process automation (RPA).
Transforming the Enterprise with AI
Through effective orchestration of AI tools, businesses can enhance understanding and interaction with unstructured data, improving efficiency across operations.
AI in Action
For instance, one insurance company automated its mailroom processes with AI, achieving up to 98% accuracy in data extraction. Another case involves a Spanish bank that used intelligent automation to speed up customer inquiries by 60%.
It is evident that when organizations strategically approach AI by integrating it into their operations, they can unlock the full potential of these technologies and strengthen their market position.
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