行政機関
Customer and citizen communication
Citizen-letter drafting with regulation sources
- 現在
- Staff search regulations manually and rewrite similar responses from scratch.
- AI導入後
- A private assistant retrieves approved clauses and prepares a cited draft for review.
- 変わること
- Faster first drafts and more consistent source use; measure review time and corrections.
人が担う範囲：
A responsible officer verifies the legal basis and approves every outgoing response.
行政機関
Reporting and analytics
Recurring report assembly
- 現在
- Teams copy figures and narrative updates from departments into recurring reports.
- AI導入後
- Validated inputs are summarized into the required structure with missing items flagged.
- 変わること
- Less copying and faster gap detection; official figures still come from source systems.
人が担う範囲：
The report owner validates every figure, conclusion, and submission.
Banking and finance
Knowledge search and RAG
Cited policy and procedure search
- 現在
- Staff search folders or ask colleagues which version of a policy applies.
- AI導入後
- A permission-aware assistant answers only from approved versions and shows its sources.
- 変わること
- Quicker retrieval and clearer provenance; unresolved questions become visible.
人が担う範囲：
Compliance owns the source set and handles interpretation or exceptions.
Banking and finance
Document processing
KYC document preparation
- 現在
- Operators retype fields and manually check whether a case file is complete.
- AI導入後
- Extraction proposes fields and flags missing or inconsistent evidence for an operator.
- 変わること
- Less re-entry and earlier completeness checks; no automated approval decision.
人が担う範囲：
Authorized staff verify identity evidence and make every regulated decision.
Manufacturing
Quality control
Quality-incident triage
- 現在
- Engineers read free-text defect notes and manually group recurring causes.
- AI導入後
- The system suggests categories, links similar incidents, and drafts a weekly pattern summary.
- 変わること
- Broader coverage of repeated signals; measure recategorization and missed matches.
人が担う範囲：
Quality engineers confirm classifications and own root-cause decisions.
Manufacturing
翻訳
Technical manual translation support
- 現在
- Specialists repeatedly translate instructions while preserving product terminology.
- AI導入後
- Approved terminology and past translations guide a first draft with changed passages highlighted.
- 変わること
- Faster first passes and more consistent terms across Uzbek, Russian, English, and Japanese.
人が担う範囲：
A domain-aware translator approves safety-critical and contractual language.
Retail and e-commerce
Customer and citizen communication
Telegram customer-reply assistant
- 現在
- Agents answer repeated stock, delivery, return, and payment questions by hand.
- AI導入後
- A bot drafts answers from live policy and catalog data, escalating uncertain requests.
- 変わること
- Longer service coverage and shorter queues; track escalation and correction rates.
人が担う範囲：
Agents handle complaints, exceptions, refunds, and low-confidence answers.
Retail and e-commerce
翻訳
Multilingual catalog preparation
- 現在
- Teams rewrite product descriptions separately for each language and channel.
- AI導入後
- Structured product facts generate consistent drafts in Uzbek, Russian, and English.
- 変わること
- Faster catalog coverage; measure rejected claims and terminology corrections.
人が担う範囲：
Merchandising approves facts, claims, pricing, and culturally sensitive wording.
Logistics
Document processing
Shipment-document intake
- 現在
- Operators read scans and re-enter shipment references into internal systems.
- AI導入後
- Extraction proposes fields, checks required documents, and queues exceptions.
- 変わること
- Less retyping and quicker exception discovery; measure field-level accuracy.
人が担う範囲：
Operators verify low-confidence fields and resolve mismatched documents.
Education
Knowledge search and RAG
Student policy and course assistant
- 現在
- Students and staff search scattered policy pages or ask the same administrative questions.
- AI導入後
- A cited assistant answers from current approved policies and routes personal cases to staff.
- 変わること
- Better self-service coverage; track unanswered and outdated-source questions.
人が担う範囲：
Staff decide individual cases and maintain the authoritative source set.
Healthcare
Document processing
Clinical document preparation
- 現在
- Staff copy referral and intake details into internal forms before review.
- AI導入後
- A private system extracts fields and drafts a structured summary with source links.
- 変わること
- Less clerical preparation; accuracy is measured field by field.
人が担う範囲：
Clinical staff verify the record and make every medical decision.
Professional services
Reporting and analytics
Proposal and status-report drafting
- 現在
- Consultants assemble recurring proposals and updates from notes, timesheets, and templates.
- AI導入後
- Approved project data produces a structured first draft with missing evidence flagged.
- 変わること
- Faster preparation and more consistent structure; measure edit distance and review time.
人が担う範囲：
The account owner validates scope, commitments, figures, and client-specific judgment.