A Proposed Prompting Protocol to get Substantive Enhancement of Generative AI Performance in an Organizational Context

The paper introduces a structured prompting protocol designed to harness the full potential of generative AI (GenAI) products while mitigating their known limitations of misunderstanding and a lack of transparency in conversations. The protocol integrates principles from internal consistency models for knowledge in ancient Indian philosophy (“Mimamsa” or Exegesis) and Socratic questioning to encourage a collaborative, iterative dialogue between human users and GenAI, positioning the GenAI as an “online external consultant” and maintaining the human “in-the-loop” for oversight, contextualization, and critical evaluation. The efficacy of the protocol was empirically evaluated through two scenarios - in Scenario 1 three homeowners sought fire-mitigation strategies for three Southern California properties within a $50 K budget, and in Scenario 2 a business analyst aimed for a knowledge graph–based strategic model for a lubricant manufacturer. Compared to generic prompting, the Mimansa-guided interactions in both the scenarios yielded more substantive, context specific outputs that were validated by experts in the domains, and accelerated user learning of domain relevant concepts. The findings demonstrate that the proposed Mimansa protocol significantly enhances GenAI performance by structuring human–GenAI collaboration, ensuring transparency, and capturing mutual learning in actionable artifacts like knowledge graphs in a very short time. Consistent uses of the proposed Mimansa protocol by each level of executives in an organization can, over time, build up the five key pre-requisites required to have a learning organization—personal mastery, mental models, shared vision, team learning, and systems thinking—transforming GenAI from a mere tool into a co creative partner, fostering organizational learning and strategic advantage.