Artificial intelligence is quickly becoming part of how project teams manage, search, and interpret increasingly large volumes of information. But adding AI to an existing information environment does not automatically make that environment more efficient, accurate, or secure.
For major projects, where decisions can depend on years of technical documentation, stakeholder engagement, permitting records, spatial data, and evolving project information, the consequences of an incomplete or unsupported AI-generated answer can extend well beyond an inefficient workflow. Poor information governance can create errors, introduce uncertainty, and ultimately contribute to delays in regulatory and project decision-making.
ICI Innovations’ latest white paper, Responsible Artificial Intelligence for Projects, examines why the architecture surrounding AI matters as much as the technology itself. It looks at the limitations of applying AI across decentralized project information systems and outlines ICI’s approach through RIVAS, where AI operates within a centralized, controlled information environment and responses are traceable directly to authorized source material.
As AI becomes more widely adopted across major project development, the question is increasingly not simply how can we use AI? but how can we use it in a way that project teams can actually trust?
Download the white paper to learn more about ICI’s approach to responsible AI for major projects.