Agentic AI, Strategic Decisions Insurance and Retirement
Keywords:
Artificial intelligence · Strategic decision-making · Insurance and retirement · Enterprise data product · Data infrastructure · Agentic AI.Abstract
The integration of agentic AI into enterprise data products, following established principles of strategic decision-making, significantly improves agent-in-the-loop decision-making within insurance and retirement sectors. Decision-making systems underpin a broad spectrum of enterprise intelligence solutions, enabling human decision-makers to harness advanced AI technology, data analytics, and internal expertise. However, agent-in-the-loop solutions must address the same set of decision-making challenges that AI systems tackle independently—commanding consideration during the architecture design phase, especially in data products integrated for concurrent consumption within enterprises.
Within enterprise data products, agentic AI in support of strategic decision-making exposes tertiary product dimensions that determine the product's trustworthiness, its behavioral alignment with user expectations, the underlying technical infrastructure, and the managed change required for adoption and operation. It serves as a lens for examining enterprise data products structured for concurrent syndication, spotlighting product characteristics that ensure decision-making processes yield agent-in-the-loop systems of record supported by AI-assistive technologies and the agents' governing processes. The approach follows convergence techniques mirrored in industries such as cybersecurity that also underpin enterprise data products serving strategic decision-making in the insurance and retirement spaces.
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Copyright (c) 2024 Dileep Valiki (Author)
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This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author(s) and source are credited.
