ExKey has commenced the provision of "Forgent," an AI talent residency service that provides total support from selecting tasks for AI integration to implementation and ensuring adoption on-site. In response to challenges such as the shortage of talent for AI adoption in small and medium-sized enterprises and the issue of tools not being utilized on the front lines even after introduction, this system involves specialized personnel working on-site to handle continuous improvement.
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Standardization of Business and Data Infrastructure and Common Governance Design are Essential for the Organizational Implementation of AI Agents
PLUS ULTRA by Amenoyomi
This article is a translation. Read the Japanese original
When introducing autonomously operating AI agents into an organization, it is more important to thoroughly prepare data infrastructure and standardize business processes before simply implementing tools. This is because data lacking business context, ad-hoc governance, and surges in token costs act as major obstacles to implementation.
In particular, if data definitions are inconsistent between systems, agents may make incorrect judgments. For example, if the definition of a "valid customer" differs depending on the system, simply organizing and duplicating data is insufficient; it is necessary to build an infrastructure that allows agents to correctly understand the business context.
Furthermore, when moving an agent from development to a production environment, a common security model that can consistently manage products across different vendors is required. It is necessary to build a governance structure that performs accurate delegation and monitoring of authority based on four questions: "Where is the agent, what can it do, what is it actually doing, and how does it respond to risks?"
As such, the adoption of AI agents requires multifaceted expertise in addition to technical AI knowledge, including business design, organizational design, governance, and KPI design. As the industry moves from individual-dependent support toward reproducible, organizational implementation processes, there is progress in standardizing these knowledge frameworks and promoting professional certifications to evaluate the ability to implement and establish them.