Diginno Inc. Launches “DIM-AI,” an AI-Systematized Insight Discovery and Idea Generation Method. Moving Beyond Black-Box AI Dependence to an Organizational Value Creation Methodology.

Diginno Inc. (Headquarters: Suginami-ku, Tokyo; Representative Director and President: Tomohiro Ito) is pleased to announce the development and launch of “DIM-AI (Diginno Insight Method AI),” an AI agent that systematizes the entire process from insight discovery, starting from consumer and customer voices, to idea generation, making it an 'explainable' and 'reproducible' organizational methodology using generative AI. DIM-AI accelerates the speed of new product and new business development, enhances resolution, and increases the probability of success. 1. Background of Development: Concerns about AI Dependence and Black-Boxing in Insight Discovery With the democratization of generative AI, its utilization in insight discovery and idea generation is rapidly advancing. However, we harbor concerns that 'AI utilization without will or intellect' leads to black-boxed thought processes and a dangerous 'dependence on AI' without clear grounds. Precisely because understanding the 'hearts' of consumers and customers is a crucial theme, we believe AI should be a 'means to augment human will and intellect.' Through numerous projects, Diginno has refined its unique insight discovery and generation methods, starting from consumer and customer voices. Reflecting on this trajectory, we have 'systematized' the series of processes from insight discovery to idea generation as an autonomous system using AI, which is 'DIM-AI'. 2. Overview of 'DIM-AI' and 3 Key Points for Success 'DIM-AI' is an end-to-end AI agent that progresses through stages of 'Visualization,' 'Evaluation,' 'Insight,' and 'Creation' from the raw voices of consumers and customers (insight data), elevating them into the value design of new products and services with both functional and emotional aspects. Our representative, Ito, has implemented the following three key points for value creation success, gained through numerous projects and product development experiences, into the system: Point 1: Being based on explainable facts Precisely because insight discovery and idea generation are creative and abstract challenges, the process and rationale are designed to be explainable and verbalized based on facts. As a result, it augments human will and intellect rather than relying entirely on AI. Point 2: Reproducing the thought process Instead of treating data indiscriminately, it adopts 'thinking by layers.' By 'structuring opinion phrases' based on predicate-argument analysis compliant with Japanese grammar, and clustering focusing on expression similarity, it prevents information loss through summarization and the black-boxing of insights. Point 3: Being fact-based, not arbitrary It derives evidence-based ideas, grounded in facts from the visualization and evaluation phases, without relying on personal inspiration. Based on a unique framework, it enables the mass production of value expressions and concepts driven by function and emotion, all based on evidence. For details on provision formats and pricing, please contact us below. Contact us for DIM-AI here 3. 'DIM-AI' Provision Method and Commitment DIM-AI can be provided as an AI agent executable in a browser. However, it does not involve simply throwing raw data and black-boxing idea generation; results based on DIM-AI's method are output at each layer of Visualization → Evaluation → Insight → Idea Generation, and these results are used as INPUT for the next step. In other words, we emphasize process transparency. This enables 'explainable' and 'reproducible' insight discovery and idea generation, directly contributing to strengthening business competitiveness as an organizational method. DIM-AI 4. High Extensibility and Diverse Application Scenarios DIM-AI is available not only as an AI agent but also as a 'standard prompt' compatible with various LLMs, independent of specific environments. It can be widely applied from regular brand surveys, free comment analysis for CS/NPS surveys, utilization of qualitative marketing data from SNS, to planning projects for new products and new businesses. Furthermore, in addition to collaboration with Diginno's consulting, we offer extensions and support tailored to your needs, such as implementation into existing AI agents (embedding prompts), customization according to business strategies and purposes, and internal training support for method penetration. Provision formats and pricing