Research outlines ROI of generative AI agents
A new research study titled "The ROI of Gen AI and Agents" provides structured guidance for organizations evaluating returns on generative AI and LLM investments and expanding their use of AI agents and automation.
The study addresses a core question facing practitioners: how to measure and justify spending on these technologies. Rather than offering a novel theoretical framework, it presents a strategic blueprint for scaling AI initiatives and mapping operational pathways.
Who should read this
The research targets organizations at the deployment stage-those moving beyond pilots and proof-of-concepts into production environments. It's designed for teams tasked with evaluating whether AI investments deliver measurable business value.
The guidance applies to companies assessing generative AI and agent technologies across functions, not a single use case or industry.
What it covers
The study examines ROI considerations specific to both generative AI systems and autonomous agents. This distinction matters: agents operate differently than standard generative AI models, often handling end-to-end tasks with less human intervention.
The research provides practitioners with frameworks for comparing costs against operational gains, implementation timelines, and resource requirements.
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