Abstract
Background: Strategic Intelligence (SI) is vital to enable organisations to anticipate change, anticipate dangers in advance, and respond ahead of unstable situations. However, rising complexity and volume of information have been challenging traditional approaches, necessitating advanced automation.
Objectives: The study aimed to investigate the individual roles of three Artificial Intelligence (AI) types; Agentic AI, Cognitive AI, and Generative AI in SI workflow automation. It also intended to evaluate the associated limitations and risks, and to propose a conceptual model that can be employed for facilitating successful integration.
Method: A systematic literature review was conducted using the PRISMA 2020 flow diagram. A dataset of 65 records from Scopus (2010–2025) was screened, yielding 20 relevant studies. Sources were purposively selected to represent a diversity of industries and contexts. Thematic analysis was used to identify trends in how AI technologies impact SI processes. Generative AI tools (ChatGPT, Perplexity, Gemini, DeepSeek, and NotebookLM) were used to support literature interpretation and improve writing clarity; all critical analysis and interpretations were completed by the authors.
Results: Agentic AI increased the speed of early warning and monitoring of trends. Cognitive AI enhanced contextual understanding and logical reasoning. Generative AI enhanced speed of scenario creation and communication output. Joint application of these types of AI enhanced the speed, accuracy, and scalability of intelligence operations.
Conclusion: Though AI improved forecasting and decision support, shortcomings such as algorithmic bias, over-reliance, and contextual limitation were evident. The optimal results were obtained using hybrid approaches integrating AI efficiency with human intelligence.
Contribution: The study offers a model for conceptual integration that can assist policymakers, analysts, and business executives in leveraging AI to create more adaptive, forward-looking strategic intelligence systems.