Spice Factory Launches "AI-Driven Organizational Assessment" to Visualize Current State of Corporate AI Adoption

Key facts

  • Spice Factory Launches "AI-Driven Organizational Assessment" to Visualize Current State of Corporate AI Adoption
  • Spice Factory Co., Ltd. has launched "AI-Driven Organizational Assessment," an online service that visualizes a company's AI utilization level. Through a 3-minute, 15-question assessment, it evaluates AI maturity across five stages and provides end-to-end consulting support.
  • Source: PR Times
  • Date: June 8, 2026

Direct answer

Spice Factory Co., Ltd. has launched "AI-Driven Organizational Assessment," an online service that visualizes a company's AI utilization level. Through a 3-minute, 15-question assessment, it evaluates AI maturity across five stages and provides end-to-end consulting support.

Citation
Spice Factory Launches "AI-Driven Organizational Assessment" to Visualize Current State of Corporate AI Adoption (June 8, 2026), PR Times
Source
PR Times
Date
June 8, 2026
Spice Factory Co., Ltd. has launched "AI-Driven Organizational Assessment," an online service that visualizes a company's AI utilization level. Through a 3-minute, 15-question assessment, it evaluates AI maturity across five stages and provides end-to-end consulting support.
新製品NQ 80/100出典:PR Times

📋 Article Processing Timeline

  • 📰 Published: June 8, 2026 at 19:30
  • 🔍 Collected: June 8, 2026 at 10:51
  • 🤖 AI Analyzed: June 8, 2026 at 10:54 (3 min after Collected)
Spice Factory, a digital transformation support company, has launched "AI-Driven Organizational Assessment," an online service that evaluates a company's AI adoption level. This service visualizes organizational AI maturity across three axes—"talent," "organization," and "infrastructure"—using a 5-stage AI maturity model, based on a 3-minute, 15-question survey. Based on the results, the company provides end-to-end support for management decisions, including prioritizing AI investments and developing implementation strategies, turning AI usage into a driver for business growth.

While many companies have begun implementing AI tools due to the spread of generative AI, they often face challenges such as "failing to gain traction" or "inability to make decisions on full-scale implementation." These issues frequently stem from proceeding with ambiguous conceptualization phases. This service was developed to help companies identify their current position and select appropriate measures.

The assessment tool, based on the "5-Stage AI Maturity Model," can be used without registration. It identifies a company's position on a scale from Lv. 1 "Individual Utilization" to Lv. 5 "AI Autonomous Operation." Following the assessment, the company conducts online consultations and connects clients to a four-phase consulting process: Phase 1 "Current State Assessment (As-Is)," Phase 2 "Future Design (To-Be)," Phase 3 "Investment Evaluation," and Phase 4 "Adoption/Enablement." Spice Factory provides end-to-end support until AI is deeply embedded in the organization.

FAQ

What is the 'AI-Driven Organization Diagnosis' service?

It is a free service that visualizes a company's AI maturity based on the '5-Stage Model of AI Utilization' through a 3-minute, 15-question online assessment.

What are the 5 stages of the AI utilization maturity model?

The 5 stages are: Lv.1 Individual Use, Lv.2 Team Use, Lv.3 Organizational Use, Lv.4 AI-Driven Operations, Lv.5 AI Autonomy.

What kind of support can be received after the diagnosis?

You can receive a free online individual consultation based on the diagnosis results, followed by consulting services for AI implementation strategy design and PoC support.

How is the consulting phase structured?

It is structured into 4 phases: Current State Diagnosis (As-Is), Future Design (To-Be), Investment Evaluation (Investment), and Accompaniment and Embedding (Enablement).

What problems does this service solve?

It addresses issues such as slow AI adoption, lack of integration in the field, and the disconnect between management guidelines and field challenges, which arise from ambiguity in the conceptual phase.