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  6. 111. Specification Summary AI (Internal) Design

111. Specification Summary AI (Internal) Design

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last updated:Feb 12, 2026

アンドワン 本社、東京支社、川崎営業所
アンドワン 本社、東京支社、川崎営業所
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A specification document is meaningless if it is "unreadable." We will summarize long and complex specifications with AI to speed up decision-making and handovers.

The heavier the specifications at the site, the slower the decision-making becomes. "What are the changes?" "What is confirmed and what is uncertain?" "What are the risks?" "Who is doing what?" If these are not clear at a glance, meetings drag on, handovers break down, and rework during implementation increases. In this service, we will design a system that uses AI to summarize, extract differences, and organize issues related to internal documents (requirement definitions, design documents, meeting minutes, estimation conditions, etc.). This is not just a simple shortening; it will output in a form necessary for decision-making and implementation (decisions made/undecided items/dependencies/risks/tasks), thereby speeding up reviews and progress management. ■ Provided Content (3 Points) 1. Summary format design (fixed output based on reading purpose) 2. AI summary design (evidence presentation, difference extraction, prohibitions) 3. Operational design (version management, review, improvement, audit logs) *First, please tell us the type of document you want to summarize (requirements/design/minutes) and the issues you are facing internally (review/handover/difference confirmation). We will decide on the output format.

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111. Specification Summary AI (Internal) Design

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  • Related Link - https://andoneweb.co.jp/
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■Concerns like these - The specifications are too long, and readers are unable to read them. - Changes are buried, leading to rework. - Decisions and unresolved issues are ambiguous, resulting in lengthy meetings. - Handover is weak, causing a decline in quality with changes in personnel. - Assumptions and constraints are missing, leading to disputes later. ■Provided Content (Details) - 1) Design of a summary "template" (fixed by purpose) - 2) Extraction of differences (centered on practical value) - 3) Granularity design for key point extraction (not "short," but "decidable") - 4) Guardrails (accidents can occur even with internal use) ■Deliverables - Summary format (purpose-specific templates: management/PM/implementation/sales) - Difference extraction format (list of changes, impact scope, confirmation items) - AI summary specifications (input, output, prohibitions, rules for presenting evidence) - Version management and operation design (naming conventions, approvals, history) - Collaboration design (document storage, notifications, task creation) *depending on the environment - KPI design (review time, rework rate, early collection rate of confirmation items)

Price information

■2.5 million yen to 12 million yen (varies based on target documents and collaboration scope) - Light (summary template + basic summary design + operational rules): 2.5 to 4.5 million yen - Standard (differential extraction, confirmation item extraction, evidence presentation, multiple templates): 4.5 to 8 million yen - Extended (permissions/audit, knowledge RAG collaboration, task collaboration, ongoing improvement): 8 to 12 million yen *Estimation required

Delivery Time

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※Shortest 3 to 5 weeks / Standard 1.5 to 2.5 months

Applications/Examples of results

■Purpose - Accelerate specification reviews (reduce reading time) - Visualize changes (reduce rework) - Organize decisions and unresolved issues (shorten meetings) - Improve handover quality (eliminate dependency on individuals) - Prevent omissions of assumptions and constraints in estimates ■Examples of Achievements - Specifications are lengthy and not read → Accelerate decision-making with summaries - Changes get buried → Reduce rework by extracting differences - Handover breaks down → Confirm with a list of unresolved issues ■Approach - 1. Organize target documents: Types of specifications, version management status, storage location - 2. Define the purpose of summaries: Who reads for what purpose (decide on output type) - 3. Design summaries/differences: Design evidence presentation and extraction of confirmation items - 4. Testing: Summarize past specifications and adjust granularity and format - 5. Start operation: Establish version management rules and review procedures - 6. Improvement: Enhance templates and extraction accuracy monthly

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1. Introduction of FAQ × AI Chat

1. Introduction of FAQ × AI Chat

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2. Introduction of AI chat linked to the product database

2. Introduction of AI chat linked to the product database

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3. Introduction of AI for Pre-Estimate Hearing

3. Introduction of AI for Pre-Estimate Hearing

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4. Introduction of multilingual AI chat.

4. Introduction of multilingual AI chat.

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5. Construction of a Technical Data Search AI Portal

5. Construction of a Technical Data Search AI Portal

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6. Veteran Inheritance System

6. Veteran Inheritance System

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7. Building an In-house Knowledge AI (RAG)

7. Building an In-house Knowledge AI (RAG)

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8. Inquiry Automatic Classification AI Design

8. Inquiry Automatic Classification AI Design

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9. Lead Evaluation AI (Temperature Estimation) Design

9. Lead Evaluation AI (Temperature Estimation) Design

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10. Sales Talk Generation AI Design

10. Sales Talk Generation AI Design

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11. Proposal Draft Generation AI Design

11. Proposal Draft Generation AI Design

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12. Specification Summary AI (Internal) Design

12. Specification Summary AI (Internal) Design

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13. Drawing/Image Description AI (Assistance) Design

13. Drawing/Image Description AI (Assistance) Design

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14. AI-Compatible FAQ Structured Design

14. AI-Compatible FAQ Structured Design

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15. AI Response Guardrail Design

15. AI Response Guardrail Design

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16. AI Chat Log Analysis Design

16. AI Chat Log Analysis Design

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17. Establishing rules for AI content creation

17. Establishing rules for AI content creation

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18. AI Implementation PoC Design (Web)

18. AI Implementation PoC Design (Web)

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19. AI × Inquiry Flow Design

19. AI × Inquiry Flow Design

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21. Formulation of AI Utilization Policy

21. Formulation of AI Utilization Policy

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アンドワン

アンドワン 本社、東京支社、川崎営業所

IT/Telecommunications

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A site that is just cheap ultimately increases costs and risks." We propose web development that maximizes business results while thoroughly addressing essential requirements. Are you creating a website like this? - It seems that the websites of competitors look better, but you don't know why. - Every update incurs additional costs, and before you know it, expenses have ballooned beyond expectations. - While the appearance is nice, it ignores laws and industry-specific rules, leading to complaint risks... - You want to attract customers and inquiries, but the production company only talks about design. - As a result of choosing a production that is simply cheap, you are overwhelmed with trouble handling and can't focus on your core business. Point 1. Avoid troubles with a design that has no "gaps or omissions." 2. Minimize operational costs with a design that assumes in-house updates. 3. Planning power that pursues business results. "Is the initial cost a bit high?" But in the long run, it's safe and cost-effective. We have prepared a plan to truly deliver results "correctly.

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