MasterOS トレーニング
企業向けAI導入プログラム
Start with your work. Build an approach your organization can use.
Choose a real task, such as preparing a report, drafting a customer response, or producing a document. Try AI, review the result, and measure the benefit. Develop a tested approach into a Skill, connect Skills in a workflow, add knowledge and tools, and learn to deploy an AI agent where the business need warrants it.
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Tried AI, but the work still hasn't improved?
One impressive answer does not change how a company works. Putting AI into everyday operations raises practical questions:
Plenty of use, little evidence of benefit
Employees use AI to write and summarize, but still spend time correcting results. The business cannot tell whether quality, cost, or turnaround has improved.
How the program addresses this: Choose a specific task, record the current baseline, and compare results, including review and correction time.
Convincing answers, wrong company information
AI misses the latest policy or relies on outdated documents. Employees are unsure which information they can share with a tool.
How the program addresses this: Identify approved sources, check the evidence behind answers, and manage access and document versions in Knowledge/RAG.
Individual successes that others cannot repeat
A prompt works for one person but produces different results for a colleague. Instructions and experience can disappear when ownership changes.
How the program addresses this: Package the approach as a Skill with examples, acceptance criteria, and an owner. Connect the steps in a workflow with explicit handoffs.
Plans to expand without clear accountability
Connecting AI to data and tools raises questions about who approves actions, handles errors, and decides when to stop.
How the program addresses this: Define access, approvals, spending limits, and recovery before piloting an agent or expanding deployment.
Make something useful at every stage
- 01
Improve your own work
A well-defined task, a reviewed draft, and evidence of whether AI helps. Learn which parts AI can support and which decisions remain yours.
- 02
Give your team a repeatable approach
A Skill with instructions, test cases, and an owner. A workflow connects Skills to sources, handoffs, and clear exception handling.
- 03
Give the business evidence to act
Managed Knowledge sources, tools with appropriate permissions, and an agent pilot with human oversight. Expansion depends on measured quality, cost, and business results.
How does one task develop through the program?
Take customer responses. Begin with a draft and add capabilities as the work requires them.
- 1Draft and review a response
- 2Save the approach as a Skill
- 3Connect summarizing, policy lookup, and approval
- 4Add Knowledge and order data
- 5Pilot an agent and evaluate expansion
Each step has an input, an expected result, and an accountable owner. A human-reviewed Skill may be the right outcome; every task does not need an agent.
Work on the same task from start to finish
Lessons include scenarios, sample responses, diagrams, checklists, and practical exercises. Each stage develops the work you have already done. Reading and practice time are shown separately.
An approach you can use across tools
Practice selecting work, preparing sources, writing instructions, and checking results in MasterOS or an approved AI tool. Skill, workflow, and integration configuration follows the design of each environment.
Enterprise Training, Consulting, and Implementation
MasterOS goes beyond training people to use AI. We work with businesses to assess current operations, identify gaps, design solutions, and implement them. M12 connects the self-paced program to services tailored to your organization's goals, processes, and systems.
Discuss your business needsBegin with one task you want to improve
The opening helps you select the work and define the improvement. The learning path then takes you through trying, checking, reusing, and expanding the approach.
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