AI-Ready Maturity Model

LEVEL 1

Paper processes, scattered data, decisions based on personal experience.

AI employees organize documents and write first drafts. The team gets its first real use of AI.

AI chatDraft writing

LEVEL 2

A few departments are trying it. Nothing is connected across teams yet.

Assign dedicated AI employees per department, each tied to specific work.

Multiple AI employeesJob roles

LEVEL 3

Automation starts paying off, and AI is used across day-to-day work.

AI employees take on standardized tasks, tracked on the task panel.

Task panelCross-team work

LEVEL 4

AI is part of core operations and becomes the main driver of value.

Custom skills, internal system connections and a private knowledge base.

SkillsMCPRAG

LEVEL 5

Every business runs on AI and data, working with peers across the industry to transform it.

Dedicated small models plus cross-company data flow.

Small model fine-tuningCross-company MCP

Yuiclaw Standard
Works out of the box, no development

Yuiclaw Custom
Deep integration with your systems

Stages are adapted and simplified from Keidanren's AI-Ready Guidelines (2019).

Two plans, each for its own stages

For Level 1-3

Multiple AI employees: Run several roles at once, each doing its own job.
Conversations organized by team and project: Every record is filed and easy to look back on.
Task panel: AI pulls out to-dos automatically so status is clear at a glance.
Employee market: Add a new role in one click. No prompt writing needed.

For Level 4-5

Custom Skills: Behavior rules and output formats written for specific work.
MCP system integration: Connects to ERP, CRM and databases to read and write business data directly.
RAG private knowledge base: Answers are based only on documents you approve.
Model fine-tuning and on-site support: Private models for high-volume specialist tasks, with engineers on site to roll them out.