Book
Prediction Markets: Know the Future, Prepare for the Future
A Japanese-language book exploring prediction markets as tools for aggregating information and preparing for uncertainty.
Explore the bookGenerative AI training for business
Sales proposals. Hiring workflows. Everyday work.
Learn AI throughyour own work.
Practice giving clear instructions, creating useful outputs, and checking the results. Take reusable prompts and working methods back to your team's everyday tasks.
- Your business tasks
- Your team's skill level
- Practice beyond the workshop
Skills covered in training
AI foundationsApplied work & building
Curriculum
Training curriculum
01 AI & ChatGPT foundations
Prompt design, documents and images, and checking outputs.
02 Applied business workflows
Research, proposals, spreadsheets, analysis and recruitment.
03 Building AI assistants
GPTs, document retrieval, workflows and evaluation.
Hands-on projects
Four projects built around real business tasks.
Research, analyze, present and build a workflow. Practice connecting several tasks and taking an assignment through to a finished deliverable.
Related courseApplied business workflows
Turn market research into a business proposal.
Work on a proposed service: define the questions, collect evidence and present a recommendation that a decision-maker can assess.
Materials
- Public company and service information
- A fictional customer brief and proposal requirements
Example toolsChatGPT / PowerPoint or similar
What participants do
Plan the research
Clarify the customer problem and decide what to investigate about the market, alternatives and implementation requirements.
Compare the evidence
Use AI to gather and organize information. Record sources and dates, build a comparison and separate facts from hypotheses.
Develop the proposal
Prepare slides covering the recommendation, evidence, implementation and next steps. Anticipate questions from the audience.
Training courses
From foundations to applied work and AI assistants.
Choose from three courses. We adapt the curriculum below to your team’s experience and business tasks, combining modules where appropriate.
FoundationsAI & ChatGPT foundations
Employees starting to use generative AI at work
AI & ChatGPT foundations
Employees starting to use generative AI at work
- Learning outcome
- Give AI clear objectives and constraints, work with documents and data, and check the results.
- Prerequisites
- No programming knowledge required
- Example tools
- ChatGPT or similar
Curriculum
How generative AI fits into work
Capabilities and limits, choosing models and features, confidential information, copyright and inaccurate outputs.
Practical assignmentSeparate a familiar task into work AI can support and decisions a person must make.
Prompt design and iteration
Objectives, context, input information, constraints and output formats. Follow-up questions and revision requests.
Practical assignmentTry different instructions for the same writing task, compare the results and improve them.
Documents, images and files
Summarization, comparing sources, drafting, image understanding and generation, and checking file-based outputs.
Practical assignmentPrepare meeting notes and questions from source documents, then verify them against the originals.
Data analysis and an integrated task
Working with Excel or CSV files, calculations, charts and verification. Applying the process to daily work.
Practical assignmentAnalyze an exercise dataset and prepare a report with charts and conclusions.
Course deliverables
Reusable prompts, document and analysis outputs, and an output-review checklist
AppliedApplied business workflows
Sales, planning, marketing, recruitment and operations teams
Applied business workflows
Sales, planning, marketing, recruitment and operations teams
- Learning outcome
- Combine several AI-assisted tasks into a business deliverable and improve both quality and effort.
- Prerequisites
- Basic familiarity with ChatGPT or a similar tool
- Example tools
- ChatGPT / Excel / PowerPoint or similar
Curriculum
Break down the workflow
Current steps, bottlenecks, input material, deliverables and decisions that need a person.
Practical assignmentMap a team workflow and agree the assignment and review criteria.
From research to proposals
Framing questions, public-source research, source checks, comparisons, outlines and presentations.
Practical assignmentResearch a market and alternatives, then create an evidence-based proposal and anticipated questions.
Role-specific practice
Choose from sales proposals, marketing tasks, recruitment and interviews, or recurring reports.
Practical assignmentComplete a business deliverable using approved company material or fictional training data.
Review, standardize and measure
Instructor feedback, revisions, shared prompts and procedures, and measuring time and quality.
Practical assignmentCompare revisions and document a procedure the team can reuse.
Course deliverables
A business deliverable, reusable prompts and procedures, and a sheet for assessing the application
BuildBuilding AI assistants & workflows
AI champions, process-improvement staff and internal development teams
Building AI assistants & workflows
AI champions, process-improvement staff and internal development teams
- Learning outcome
- Prototype an assistant or workflow from business requirements, then improve its configuration and sources using test results.
- Prerequisites
- Basic AI use and familiarity with the target business workflow
- Example tools
- GPTs / Dify or similar
Curriculum
Workflow design and tool choice
Chat, agents and workflows. Inputs, processing, outputs, human review and access.
Practical assignmentDefine a limited prototype for internal questions or document preparation.
GPTs and internal documents
Roles, instructions, source documents, retrieval-augmented generation basics, document preparation and evidence.
Practical assignmentCreate an assistant that consults an operating manual.
Build a business workflow
Connect input, classification, retrieval and generation in Dify or a similar tool. Conditions and handoff to a person.
Practical assignmentPrototype a process from incoming question classification to a draft answer.
Evaluation, improvement and operation
Test questions, expected outputs, failure analysis, better instructions and sources, and update and sharing rules.
Practical assignmentTest normal and exceptional cases, then present improvements and remaining operating considerations.
Course deliverables
An assistant or workflow prototype, configuration and sources, an evaluation sheet and a draft operating procedure
Pricing is quoted individually. Duration, sessions, group size, tools, instructors and follow-up are agreed for each program.
Delivery & learning
From the first discussion to applying the learning.
We clarify the audience and business need, prepare the materials and tools, then combine instruction, practical work and feedback on the results.
- Discovery
Understand the team and its tasks
Discuss the target departments, current AI use, tasks to improve, participant experience and preferred timing.
Decisions & deliverablesAudience, objectives and target tasks - Design
Propose the curriculum and delivery plan
Define modules, exercises and outcomes alongside pricing, duration, group size and format. Select instructors for the content.
Decisions & deliverablesCurriculum, quotation and delivery plan - Preparation
Prepare materials and the learning environment
Confirm the required accounts and plans. Select materials, check what may be shared and prepare the exercise data.
Decisions & deliverablesMaterials, assignments and tool access - Training
Instruction, practice and feedback
Participants work on assignments after the instructor’s explanation and demonstration. They share their outputs and revise them with feedback.
Decisions & deliverablesExercise deliverables and improved prompts or configurations - Application
Apply the learning and review the results
Review use in actual work, including quality, time and remaining issues. Add further practice or improvement support as agreed.
Decisions & deliverablesAn application plan and a review of results and issues
Create it, get feedback, then improve it.
Instruction & demonstration
The instructor explains the approach and key operations.
Individual or group practice
Participants use documents or data to create their own outputs.
Presentation & review
Review evidence, business requirements and reproducibility.
Revision & application
Improve the procedure and plan how to use it in the team.
Post-training assignments and the availability, period and frequency of follow-up are agreed in the program before enrollment.
People & expertise
The right expertise for the work at hand.
Instructors are selected for the training topic, participants, and expertise required. We confirm the instructor before the program begins.
Research and publications by our founder
Seiryu Ando
Representative Director, Atlas Support Inc.
Seiryu works on generative AI in business and applied economics. His publications include a Japanese book on prediction markets and a working paper on the relationship between generative AI use and firm value.
Details
Pricing & participation
We propose the content and delivery conditions based on your team's learning goals.
- Pricing
- Custom quote
Pricing reflects participants, session count, exercise preparation, and the scope of follow-up.
- Duration & group size
- Designed for your requirements
Duration, session count, and group size are adjusted to participants' experience and the tasks involved.
- Delivery format
- Matched to the program
We propose a format that suits the exercises, participants, and learning environment.
- AI tools
- Built around your working environment
We consider tools such as ChatGPT and confirm the accounts and plans needed for the exercises in advance.
Common questions
Can people with no AI experience take part?
We adapt the content to participants’ experience. The AI & ChatGPT foundations course covers how the tools work, key precautions, basic operations, prompting, documents and data.
Can we use our own documents?
Yes. We agree what can be shared and use approved material or prepared samples. Information handling and the conditions of the chosen AI tools are reviewed in advance.
Which AI tools will we use?
We choose tools such as ChatGPT based on your working environment and training goals. Required features, accounts, and plans are confirmed before the program.
Are prices and training hours fixed?
Programs are individually quoted. We propose the duration and delivery conditions alongside pricing based on participants, tasks, session count, preparation, and follow-up.
What happens after the workshops?
Follow-up can include reviewing workplace trials, improving prompts and review steps, and organizing guidance for the team. Scope, duration, and session count are agreed for each program.
Who will teach the program?
Instructors are selected for the topic, participants' experience, and expertise required. The instructor and program content are confirmed before delivery.
Start with your work
Start with a task you want to improve.
Tell us about the work and your current use of AI. We will propose a practical training approach for your team.