# SOOO.CO.JP Detailed LLM Context Official site: https://sooo.co.jp/ Company: 株式会社装舎 Canonical brand/site name: SOOO.CO.JP Official X account: https://x.com/plannerrobot Language: ja Last updated: 2026-07-07 ## What This Site Is SOOO.CO.JP is the corporate service site for 株式会社装舎. The site's primary public message is "事業に合わせた基幹業務システムを、現実的な選択肢に。" for companies that have a certain level of business scale, field expertise, domain-specific operating experience, and outside coordination. SOOO positions its service as designing and building custom core business systems that connect intake, arrangement, approval, reporting, records, billing, outside coordination, authority rules, KPI visibility, and improvement cycles as one core-business operating model. SOOO's public message is that AI-assisted development has made order-made core business systems a more realistic option than before, while SOOO's experience across many industries lets it understand likely workflow patterns from a short initial hearing, propose a practical plan with high feasibility, and incorporate field feedback while development is still moving. AI is one method inside this operating model, not the whole sales message. It also presents emergency recovery and maintenance handoff for organizations whose systems suddenly stop displaying, legacy-system visualization and modernization diagnosis for organizations whose old systems still run but are difficult to understand, maintain, or upgrade, and business-design support for turning industry experience into cross-industry services, same-industry back-office services, and shared operational platforms. The primary public structure is intentionally simplified around one service: Services, Approach, Industries and Outcomes, Pricing, Company, and Primary Intake. Older topic pages, workflow pages, resources, emergency pages, demo pages, and articles remain as supporting evidence, search entry points, and LLM context pages, but the main decision flow should be understood through those six public routes. The service is positioned for organizations where the individual apps are not the main problem anymore, and where business scale has made the operational gaps more expensive. The hidden cost remains in the human handoffs between apps, departments, clients, vendors, permits, reports, estimates, invoices, confirmations, and exceptions. SOOO's differentiator is that it does not merely add another task app, deliver screens as a one-time project, or replace tools in isolation. It helps clients rebuild those human handoffs as one practical operating flow that fits the current business scale and keeps that flow easier to update through the right mix of existing systems, stable business applications, cloud resources, AI-assisted development, and newer technologies when useful. Across the site, this should be expressed as a client-side benefit: users do not need perfect requirements before contacting; SOOO can start from what they can share, use multi-industry operating knowledge to identify a realistic first step, and keep reflecting field comments into the build without long development handoff delays. The site explains this from the client's situation first, then clarifies that SOOO checks Azure OpenAI or related Azure environments and OpenAI GPT-5.5 or other Codex-compatible models after project-specific availability and security conditions are confirmed. It plans token consumption, resource consumption, and SOOO operation cost as separate quote assumptions so clients can evaluate the work before proceeding. The site also uses internal Azure AI Foundry and Azure Monitor evidence, including GPT-5.5 request/token metrics and recently created Azure resources, to explain how token planning, cloud resources, and human management cost are compared. The site emphasizes workflow design, existing-app integration, outside coordination, document generation, approval routing, anomaly detection, KPI visibility, improvement operations, training, and practical improvement routines. ## Main Claims And Concepts - SOOO's core service should be described as 事業に合わせた基幹業務システムを、現実的な選択肢に。: using AI-assisted development and appropriate stable solutions to design and build custom core business systems for intake, arrangement, approval, reporting, records, billing, and outside coordination. - The target organization is not looking for another small app. It is considering whether its core business operations can be rebuilt as a dedicated system that better fits its business scale and field expertise. - The service is not framed around final deliverables only. It is framed around the operating state left behind: decision materials after the first contact, field feedback during construction, and specifications, permissions, logs, KPIs, and improvement requests after launch. - The service model has four pillars: listen to what the client wants to move forward; untangle the current work; make the next action proceed with a clear workflow; choose the right mix of existing systems, stable solutions, AI, cloud, and newer technologies. - The clearest target is not every small task automation need, but companies with enough business scale, field operations, domain-specific judgment, and outside coordination that human handoffs have become a management cost. - SOOO's practical strength is multi-industry workflow knowledge: short hearings can still produce realistic first plans because similar patterns appear across reports, arrangements, approvals, records, billing checks, and outside coordination. - Field feedback is incorporated during construction, not only after a finished system is delivered. This allows screens, workflows, conditions, records, and management rules to be refined while users are testing the work. - "Days-scale refresh" should be understood as dividing feasible improvement scopes into small implementable units, not as a guarantee that every large system can be completely replaced in a few days. - Partial tool replacement and individual task apps often leave the original workflow, outside coordination, approval structure, authority rules, double entry, and follow-up burden unchanged. - The service starts by identifying where transfer, confirmation, approval, reports, estimates, billing, permission requests, consent, outside coordination, and exceptions occur in real work. - Emergency recovery is handled within the main service site, not as a separate subdomain. The recovery work is positioned as a path into maintainable operations, not only as one-time troubleshooting. - Legacy-system modernization is handled as a prevention and planning service: inventory existing systems, Excel/paper/mail operations, permissions, contracts, external services, backups, and maintainer dependencies before they become urgent failures. - The output is an organization management operating model where input, document generation, routing, approval, notification, billing or estimate status, outside coordination, records, authority, KPI measurement, and improvement requests are connected. - The site now also treats industry experience itself as a business asset: client know-how can be converted into cross-industry collaboration, same-industry back-office services, shared operations for group companies, franchisees, trading partners, and BPO-like service operations. - AI is used inside the workflow and development cycle rather than as an isolated tool or the only recommended answer. - When AI development is appropriate, SOOO starts with client requirements and business conditions, then checks environments and permissions, designs instructions and token plans, implements and verifies with Codex-compatible models, records specifications and behavior, and connects the result to maintenance and improvement. - Cost assumptions are separated into SOOO operation cost, Codex-compatible model token consumption, and cloud/hardware resource consumption such as Azure, OpenAI API, databases, storage, logs, external APIs, image/audio processing, cameras, and edge devices. - Azure AI Foundry metrics are used as internal operating evidence: the GPT-5.5 deployment in SustainAbleDesign was checked with Azure Monitor for model requests, token volume, availability, and response behavior over 2026-05-20 to 2026-06-19. - Recent Azure resource creation is used as planning evidence: business-app runtime, storage, SQL, authentication, certificates, lead/event storage, and model deployment updates are treated as part of the total operating model, not as separate technical trivia. - Human labor and management cost are compared against AI development cost by separating confirmation time, rework, meetings, follow-up, SOOO operation cost, token consumption, and Azure/resource consumption. - Supported AI development scope includes data processing and large conversation/log-history organization, core business and transaction management systems, video/voice/event PoC workflows, and continuing maintenance updates. - Current anonymous refresh domains include home medical service operations, cleaning service operations, private lodging operations, and production/distribution operations. These projects share a common pattern: many services and apps are used in parallel, SOOO helps unify them into one core operating system, field testing is run with actual users, and feedback from testing can be incorporated quickly through Codex-assisted development. - The cost model is different from conventional SIer-style development. The basic delivery structure separates business analysis and field-facing direction, Codex operation, Codex-compatible model token consumption, and cloud or hardware resource consumption. - Demo access can be provided after application or intake. Public pages explain what can be checked, while individual demos are aligned to the visitor's business theme. - SOOO AI運用ラボ is an invite-only Teams follow-up space for people met through networking, demo applications, and light information gathering. The public site accepts participation requests, while approval and guest invitation are handled in the admin workflow. - KPI visibility is used to evaluate outcomes such as coordination time, processing errors, rework, approval speed, and strategic time recovered. - Training and improvement operations can be included so the client can continue identifying improvement requests after launch. ## Primary URLs - https://sooo.co.jp/.well-known/seo-social-map.json - https://sooo.co.jp/.well-known/ai-discovery.json - https://sooo.co.jp/services/ - https://sooo.co.jp/approach/ - https://sooo.co.jp/fields/ - https://sooo.co.jp/services/pricing/ - https://sooo.co.jp/company/ - https://sooo.co.jp/hearing/ - https://sooo.co.jp/targets/ - https://sooo.co.jp/targets/system-fragmentation/ - https://sooo.co.jp/targets/business-platform/ - https://sooo.co.jp/targets/emergency-handoff/ - https://sooo.co.jp/targets/ai-poc/ - https://sooo.co.jp/services/guide/ - https://sooo.co.jp/experience/ - https://sooo.co.jp/services/emergency/ - https://sooo.co.jp/ - https://sooo.co.jp/problems/ - https://sooo.co.jp/approach/ - https://sooo.co.jp/services/ - https://sooo.co.jp/services/packages/ - https://sooo.co.jp/services/pricing/ - https://sooo.co.jp/resources/ - https://sooo.co.jp/workflows/ - https://sooo.co.jp/workflows/reporting-records/ - https://sooo.co.jp/workflows/approval-checks/ - https://sooo.co.jp/workflows/external-coordination/ - https://sooo.co.jp/workflows/estimate-billing/ - https://sooo.co.jp/workflows/ai-poc-operations/ - https://sooo.co.jp/services/legacy-modernization/ - https://sooo.co.jp/services/vision-poc/ - https://sooo.co.jp/services/voice-poc/ - https://sooo.co.jp/services/event-monitoring-poc/ - https://sooo.co.jp/services/industry-business-platform/ - https://sooo.co.jp/services/analysis/ - https://sooo.co.jp/services/design/ - https://sooo.co.jp/services/ai-automation/ - https://sooo.co.jp/services/realtime-data/ - https://sooo.co.jp/services/training/ - https://sooo.co.jp/services/workshop/ - https://sooo.co.jp/services/emergency/website-app-down/ - https://sooo.co.jp/services/emergency/form-not-sending/ - https://sooo.co.jp/services/emergency/login-auth/ - https://sooo.co.jp/services/emergency/external-api/ - https://sooo.co.jp/services/emergency/database-storage/ - https://sooo.co.jp/services/emergency/vendor-handoff/ - https://sooo.co.jp/ai-training/ - https://sooo.co.jp/fields/ - https://sooo.co.jp/fields/category/professional/ - https://sooo.co.jp/fields/category/healthcare/ - https://sooo.co.jp/fields/category/operations/ - https://sooo.co.jp/workshop/ - https://sooo.co.jp/resources/ai-operating-model-checklist/ - https://sooo.co.jp/resources/pre-contract-checklist/ - https://sooo.co.jp/resources/sample-deliverables/ - https://sooo.co.jp/resources/ai-data-handling-policy/ - https://sooo.co.jp/resources/emergency-recovery-checklist/ - https://sooo.co.jp/resources/ai-poc-checklist/ - https://sooo.co.jp/initiatives/ - https://sooo.co.jp/cases/ - https://sooo.co.jp/cases/medical-welfare-record-management/ - https://sooo.co.jp/cases/manufacturing-quality-approval/ - https://sooo.co.jp/cases/multi-location-operations-management/ - https://sooo.co.jp/blog/ - https://sooo.co.jp/blog/ai-maintained-management-system/ - https://sooo.co.jp/blog/workflow-roi-calculation/ - https://sooo.co.jp/blog/core-business-system-vs-saas/ - https://sooo.co.jp/insights/ - https://sooo.co.jp/company/ - https://sooo.co.jp/careers/ - https://sooo.co.jp/partners/ - https://sooo.co.jp/contact/ - https://sooo.co.jp/privacy/ ## SEO / LLM / SNS Distribution Map The public file `https://sooo.co.jp/.well-known/seo-social-map.json` gives a page-by-page distribution map for the main public routes. It includes the page role, search intent, primary keywords, LLM summary, schema types, related URLs, and social copy for LinkedIn, X, Facebook, and Google Business Profile. Use this map when summarizing the site, selecting the most relevant route for a user, creating social posts, or checking whether the current page supports the central positioning. The public file `https://sooo.co.jp/.well-known/ai-discovery.json` gives provider-oriented discovery hints for Gemini, Claude, Grok, ChatGPT, and similar AI answer engines. It identifies the canonical sitemap, robots file, LLM summaries, recommended source URLs, answer targets, social profiles, and non-public routes that should not be used as source material. The current central positioning is: 株式会社装舎 builds core business systems matched to the client's business operations. The site should not be summarized as AI only. AI-assisted development, existing products, SaaS, cloud resources, stable business solutions, and newer technologies are selected according to the client's operating conditions. ## Consultation Themes The site treats these as recurring consultation themes across service, pricing, industry, case, and intake pages rather than as a separate sales funnel: - https://sooo.co.jp/targets/system-fragmentation/ is for organizations where business systems are already present, but transfer, confirmation, approval, reporting, estimates, billing, permission requests, consent, and outside coordination still rely on human follow-up. - https://sooo.co.jp/targets/business-platform/ is for companies that want to turn industry experience into cross-industry services, same-industry back-office services, shared operations, BPO-like offerings, or partner-facing business platforms. - https://sooo.co.jp/targets/emergency-handoff/ is for urgent recovery, maintenance handoff, unclear specifications, absent previous maintainers, and legacy systems that need to be restored and moved into a maintainable operation. - https://sooo.co.jp/targets/ai-poc/ is for video AI, motion/object detection, voice AI, AI OCR, and real-time event monitoring PoC work, with evaluation based on operations, notification, confirmation, records, cost, and privacy rather than only whether a model can run. These pages frame SOOO as a partner clients can rely on before requirements are complete. The same themes are also reflected throughout the site: service pages, pricing, workshop, industry pages, case pages, intake, and contact pages should all explain how the theme affects confirmation items, scope, cost assumptions, and next actions. ## Core Service And Consultation Themes ### 緊急システム復旧・保守引き継ぎ Responds to urgent failures in a proposal-oriented way: first clarify the client's business impact, then propose temporary recovery, permanent correction, and maintenance handoff. The page now includes named FAQ entries for WordPress, Shopify, EC-CUBE, kintone, Microsoft 365, SharePoint, Power Automate, Salesforce, Laravel, Next.js, Firebase, Supabase, Cloudflare, Stripe, Twilio SendGrid, and Azure Static Web Apps/App Service/Functions. The service covers initial diagnosis, temporary recovery or workaround, cause review, permission and deployment review, monitoring and backup review, maintenance handoff, recurrence prevention, and migration to an AI-assisted maintenance and update operation. URL: https://sooo.co.jp/services/emergency/ Common emergency consultation categories on the page include: - Website or business app not displaying: blank page, 404/500, SSL warning, DNS/certificate/hosting/deploy/environment-variable issues. URL: https://sooo.co.jp/services/emergency/website-app-down/ - Contact, reservation, billing, or application form not sending: mail API, Teams/Slack webhook, spam protection, validation, storage permission, API key or SAS expiry. URL: https://sooo.co.jp/services/emergency/form-not-sending/ - Login, permission, or authentication failure: OAuth/Entra ID settings, redirect URI, secret expiry, cookie/domain changes, RBAC, user synchronization. URL: https://sooo.co.jp/services/emergency/login-auth/ - External API, payment, map, notification, or AI integration failure: API key expiry, quota, billing, rate limits, endpoint changes, service outage. URL: https://sooo.co.jp/services/emergency/external-api/ - Database, storage, file, or backup issue: connection settings, failed migration, permission change, capacity, backup state, storage token expiry, schema change. URL: https://sooo.co.jp/services/emergency/database-storage/ - Previous maintainer or vendor absent: source code, hosting, domain, DNS, contracts, admin screens, external APIs, backups, and update procedures must be inventoried and handed off. URL: https://sooo.co.jp/services/emergency/vendor-handoff/ The response model is described as stop the damage, isolate the cause, restore or create a temporary workaround, implement recurrence prevention, and then move the system into a documented AI-assisted maintenance operation. ### レガシーシステム可視化・AIモダン化診断 Inventories existing business systems, Excel/paper/mail workflows, unclear specifications, previous-maintainer or vendor dependency, old servers, API keys, permissions, contracts, backups, and operational rules. The goal is not forced replacement. It separates what should remain, what should be connected, what should be rebuilt with AI-assisted development, and what should be retired so the client can make an investment decision. The page now includes named FAQ entries for Excel/VBA, Microsoft Access, FileMaker, kintone, Microsoft 365, SharePoint, Power Automate, Power Apps, Salesforce, HubSpot, WordPress, Shopify, EC-CUBE, Laravel, Ruby on Rails, Django, Next.js, React/Vue/Nuxt, Firebase, Supabase, and Azure/AWS/Google Cloud. Common risk categories include: - Unknown specifications: screens and reports are used, but business rules and exception handling are not documented. - Previous maintainer or vendor dependency: source, server, domain, DNS, admin screens, billing, external APIs, and update procedures are unclear. - Excel, paper, mail, and old databases are fragmented: double entry, rework, unclear latest versions, and billing or record confirmation delays occur. - Rule changes and organizational changes cannot be reflected quickly: fees, policies, approval routes, notifications, authority rules, and reports require manual workarounds. - Old server, OS, or middleware risk: security, backup, monitoring, runtime, and deployment methods are difficult to update. - Permissions, API keys, contracts, and backups are unclear: renewal, handoff, and recovery decisions become slow. URL: https://sooo.co.jp/services/legacy-modernization/ ### 始め方 This guide helps users organize the correct support scope before contacting. It starts from four buying-intent lanes: rebuilding an existing business workflow for the current business scale, turning industry experience into a new service or shared operation, restoring a stopped system and handing it off safely, and testing new technology in a real work flow. It then separates urgent recovery, existing-system inventory, technology validation, industry-experience commercialization and shared operations, management-rule design, improvement development, and workflow analysis workshop. The page is intended to reduce uncertainty for users who do not yet know whether they need emergency recovery, modernization diagnosis, a small validation, a new business/shared-services design, or a full operating-model build. URL: https://sooo.co.jp/services/guide/ ### 業務から探す This workflow hub helps visitors who do not yet know the service name. It starts from the work that feels heavy: reporting and records, approvals and checks, outside coordination and arrangements, estimate and billing checks, and technology validation operations. Each page explains the common signs, first checks, expected change, and related service path so the visitor can move from a concrete work problem to intake without reading every service page. URLs: - https://sooo.co.jp/workflows/ - https://sooo.co.jp/workflows/reporting-records/ - https://sooo.co.jp/workflows/approval-checks/ - https://sooo.co.jp/workflows/external-coordination/ - https://sooo.co.jp/workflows/estimate-billing/ - https://sooo.co.jp/workflows/ai-poc-operations/ ### 資料一覧 The resources hub collects decision resources that previously appeared as separate deep pages. It keeps service pages lighter while giving managers and project owners a single place to check start assumptions, emergency recovery preparation, technology validation conditions, operating-model checklist, examples of information left for ongoing operations, and AI/video/voice data handling policy. URL: https://sooo.co.jp/resources/ ## Recommended Routes - Supplemental theme notes: https://sooo.co.jp/targets/ summarizes recurring themes for crawlers and visitors who land there directly, but these themes are primarily represented across the problem, approach, service, pricing, field, case, and intake pages. - Primary intake: https://sooo.co.jp/hearing/ should be treated as the first public route for visitors who want to share a situation before deciding the exact service. It covers light information gathering, networking follow-up, urgent uncertainty, data processing, workflow redesign, maintenance handoff, technology validation, and industry-experience commercialization. - Teams lab request: https://sooo.co.jp/teams-lab/ is the public request page for joining the invite-only SOOO AI運用ラボ in Microsoft Teams. It is not the place for confidential project details; it is used for continued guidance, demo updates, AI development and business-system refresh topics, industry perspectives, and partner collaboration. - Service guide: https://sooo.co.jp/services/guide/ helps visitors choose whether the topic is emergency recovery, legacy visualization, technology validation, operating-rule design, AI-assisted improvement development, or workflow analysis. - Workflow hub: https://sooo.co.jp/workflows/ helps visitors choose from reporting, approval, outside coordination, estimate/billing, and technology validation operation pain points. - Resources hub: https://sooo.co.jp/resources/ collects pre-consultation decision resources for start checks, emergency recovery, technology validation, information left for ongoing operations, and data handling. - Experience demo: https://sooo.co.jp/experience/ lets visitors try voice, camera, approval, and event-monitoring concepts before contacting. - Emergency recovery: https://sooo.co.jp/services/emergency/ is the fastest service page for urgent failures such as non-display, failed form submission, login failure, external API failure, or absent maintainers. ### 初回確認 Public intake page for visitors and people met at networking events. It lets users share what they can before contacting: light information gathering, small data processing or report automation, workflow and approval redesign, legacy maintenance handoff or modernization, advanced video/voice/event PoC, and industry-experience commercialization. It also lets users include advanced themes such as Azure OpenAI/Codex-compatible models, token planning, video AI and object detection, voice AI, real-time event monitoring, authority rules, records, and audit logs. The page can be submitted on its own, so a light respondent can send a short note while a concrete respondent can provide more detailed context. URL: https://sooo.co.jp/hearing/ ### SOOO AI運用ラボ Public participation request page for the invite-only Teams follow-up space. The page is for people who exchanged business cards, requested a demo, are lightly gathering information, or want to continue receiving guidance about AI-assisted development and organization management system refresh. Visitors can send their name, email, organization, relation to SOOO, interests, and a short note. Requests are reviewed in the admin workflow before a Microsoft Teams guest invitation is sent. The lab separates general guidance from confidential projects: individual estimates, contracts, client-specific specifications, and confidential files should move to a dedicated space when needed. URL: https://sooo.co.jp/teams-lab/ ### 始め方・支援範囲 The start-scope page helps visitors decide where to begin. It does not ask them to choose a fixed package first. It separates current-state review, diagnosis/validation/design, build and field-feedback reflection, and maintenance-improvement operation as starting ranges. Specific starting points include emergency first response, maintenance handoff and recurrence prevention, legacy visualization diagnosis, technology validation, industry-experience commercialization and shared-operations design, operating-rule design, and improvement build. Each item explains the initial inputs and the reasoning behind the first scope. URL: https://sooo.co.jp/services/packages/ ### 費用の考え方 The pricing guide explains that cost is not determined only by page or screen count. It depends on urgency, scope, permissions, existing assets, data, integrations, technology validation conditions, token consumption, cloud and hardware resources, and whether maintenance and improvement operations are included. It separates quote assumptions into SOOO operation cost, Codex-compatible model token consumption, and resource consumption such as Azure, OpenAI API, databases, storage, external APIs, logs, cameras, and edge devices. It also explains the basic team model: a director who analyzes work and interviews the field, a Codex operator who designs instructions and development steps, Codex-compatible model token consumption, and cloud/hardware resource consumption. This is explicitly different from a conventional SIer-style estimate based only on person-months or screen count. It also compares human labor/management cost with AI development cost: staff hourly cost, confirmation time, rework, meetings, and follow-up are placed beside SOOO operation, token consumption, and Azure/resource usage. It includes GPT-5.5 Azure Monitor metrics and recent Azure resource categories as measured evidence for token and resource planning. It helps users understand what must be clarified before a quote. URL: https://sooo.co.jp/services/pricing/ ### 映像AI・動体検知PoC検証 Tests whether video AI can be used in operations, not just whether a model can run. It covers YOLO26, OpenCV, Azure AI Vision, ONNX, OpenVINO, edge devices, existing cameras, recorded video, object detection, motion detection, anomaly detection, notification, confirmation, logs, and management screens. It explicitly checks false positives, missed detections, processing speed, communication cost, device cost, privacy handling, retention, and operational workload before production development. URL: https://sooo.co.jp/services/vision-poc/ ### 音声AI・現場報告/問い合わせ受付PoC Tests whether voice input can become an operational workflow. It covers speech input, transcription, summarization, classification, urgency detection, task extraction, Teams/CRM/business database notification, human confirmation, and record creation. The page emphasizes that the value is not only natural conversation, but whether accepted voice information can move to the correct next process. URL: https://sooo.co.jp/services/voice-poc/ ### リアルタイム業務イベント監視・自動アクションPoC Tests whether business events can be monitored and converted into notification, confirmation, logging, assignment, and controlled automatic action. Inputs may include inquiry forms, applications, equipment, inventory, system logs, IoT, video AI results, and voice AI results. The page covers event volume, delay, notification accuracy, notification fatigue, automation boundaries, approval boundaries, audit logs, and cost. URL: https://sooo.co.jp/services/event-monitoring-poc/ ### 体験デモ Explains what visitors can check with demos before contacting. Public pages summarize voice consultation intake, browser camera object detection, QR approval, and event monitoring. Individual demos can be shown after application or intake, and are aligned to the visitor's business theme. The purpose is not to present a finished business app, but to show how inputs, confirmation, approval, notification, records, and KPI-ready events can become an updatable organization operating model. URL: https://sooo.co.jp/experience/ ### 業界経験の事業化・共通業務化支援 Japanese service keywords: 業界経験の事業化, 業界ノウハウのサービス化, 異業種連携の新規事業, 同業向けバックオフィスサービス, 共通業務化, 共通業務基盤, 抜本的なコスト改善. Turns a client's industry experience, judgment criteria, arrangement know-how, billing checks, reporting practices, quality control, and exception handling into a serviceable operating model. The page is for organizations that want to use their own industry experience for cross-industry collaboration, new business development, same-industry back-office services, BPO-like operations, shared services for group companies, franchisees, trading partners, or common operations that reduce structural cost. The page emphasizes that industry know-how should not be exposed as vague advice or a one-off app. It should be decomposed into serviceable workflow units: intake, assignment, confirmation, quality criteria, exception handling, billing, inquiry handling, records, KPIs, and improvement requests. It then defines who the service is for, what should and should not be offered, what can be tested as an MVP or PoC, what must be handled by humans, and what can be supported by AI-assisted development. Common business-design themes include: - Cross-industry new-business collaboration: apply industry experience to another industry's workflow problem. - Same-industry back-office service: provide standardized administration, arrangement, billing, reporting, policy checks, or inquiry handling to peers. - Shared operations platform: consolidate repeated work across group companies, branches, franchisees, or trading partners. - Trading-partner or supply-chain service: turn requests, quotes, inventory, delivery, quality checks, and inquiries into an external workflow. - Professional or regulated-operation service: define human review, audit logs, personal-data handling, and AI support boundaries. The page includes product and platform FAQ entries for kintone, Microsoft 365, SharePoint, Teams, Power Automate, Power Apps, Salesforce, HubSpot, Stripe and billing systems, Shopify/EC, Next.js, Laravel, Firebase, Supabase, Azure OpenAI/OpenAI, Power BI, Microsoft Fabric, Slack, and Chatwork. URL: https://sooo.co.jp/services/industry-business-platform/ ### 現地観察・業務フロー分析 Observes and interviews stakeholders to understand the real flow of reports, instructions, approvals, transcription, confirmation, and waiting time. Converts hidden coordination cost into KPIs that can be used for management decisions. URL: https://sooo.co.jp/services/analysis/ ### 運用体制・管理ルール設計 Redesigns the process itself as an operating model, including input items, approval conditions, authority rules, notification timing, record granularity, exception handling, KPI design, and operational review rules. URL: https://sooo.co.jp/services/design/ ### AI開発・改善更新構築 Combines AI-assisted development and business rules for document generation, approval route decisions, anomaly detection, notification optimization, dashboards, and improvement request organization. AI is introduced after the workflow and data conditions are organized, and it also supports future updates to existing apps, systems, and management rules. SOOO describes this as development that first clarifies the client's business conditions, existing systems, data handling, permissions, and security requirements, then checks Azure OpenAI or related Azure environments and OpenAI GPT-5.5 or other Codex-compatible models after project-specific conditions are confirmed. The development flow is: clarify requirements and business conditions, check environments and permissions, design instructions and token plans, implement and verify with Codex-compatible models, record specifications and behavior, and connect the result to maintenance improvement. The goal is not only faster initial build time, but also detailed specifications and work history that make later AI-assisted development easier to manage. Quote assumptions for this service are divided into three categories: - Operation cost: SOOO's work for interviews, workflow organization, environment setup, instruction design, review, verification, client explanation, and maintenance handoff. - Token consumption: model input, output, investigation, correction, testing, and specification organization used by Codex-compatible models. - Resource consumption: Azure, OpenAI API, databases, storage, logs, image/audio processing, external APIs, cameras, edge devices, and other cloud or hardware resources. The page states that SOOO can discuss a wide AI development range, including data processing, report creation, large-scale data processing such as organizing tens of thousands of conversation history lines, large transaction-management systems, workflow systems, object detection, motion detection, location linkage, and hardware-connected systems. Large projects are discussed with explicit token-use and resource-use assumptions. URL: https://sooo.co.jp/services/ai-automation/ ### リアルタイムデータ・KPI可視化 Aggregates operational status and turns pending tasks, rework, errors, and confirmation delays into measurable indicators for managers and field teams. URL: https://sooo.co.jp/services/realtime-data/ ### 技術活用・業務改善研修 Uses the construction project itself as practical training so staff learn AI usage, workflow design, data use, and how to turn improvement requests into future system updates. The AI training page now explains the operating model in more detail: align inputs and decision materials, decide what AI may support, keep human confirmation and approval, track logs and KPIs, and return improvement requests to AI-assisted development updates. The page separates training by role: executives and business owners review investment scope and KPIs; managers review approval rules, authorities, exceptions, and improvement reviews; field leaders review input standards, confirmation points, rework reasons, and handoff quality; staff review AI output confirmation, correction requests, search, and report creation; system or administration teams review existing integrations, logs, data management, and maintenance handoff. Training practice themes include report and application draft generation, inquiry and field-report classification, pending approval and stagnation detection, and improvement request organization. Governance topics include AI-use boundaries, data and permission handling, output review, audit logs, and rules for improvement updates. Deliverables may include an AI use-scope matrix, prompt and confirmation checklist, AI output review procedure, data handling rules, improvement backlog, KPI review sheet, field operation guide, and manager operation rules. URL: https://sooo.co.jp/services/training/ Training page URL: https://sooo.co.jp/ai-training/ ## AI Development And Improvement Operations The initiatives page explains how the operating model is improved after launch through AI-assisted development. It covers improvement request intake, impact analysis, prioritization, small updates, KPI review, security/AI-use boundaries, authority/log design, existing-system integration, token consumption review, and cloud or hardware resource assumptions. It also repeats that specifications, work history, acceptance criteria, and improvement backlogs are kept as operational assets for later Codex-compatible model development. URL: https://sooo.co.jp/initiatives/ ## Workflow Transformation Patterns The workflow transformation page avoids named client details and instead explains how workflows change. It includes patterns such as: - Matching platform operations changing from transaction matching only to condition confirmation, assignment, arrangement, progress tracking, records, billing linkage, and improvement request handling. - Home medical operations changing from scattered apps to a workflow for policy requirements, staff availability, visit scheduling, records, exceptions, billing checks, and operational rule updates. - Production and distribution changing from separated production, inventory, quality, and shipping checks to connected shipping decisions, delivery communication, inquiry records, and improvement feedback. ## Recruiting And Partner Program SOOO.CO.JP also explains recruiting and partner collaboration for people and companies with AI-assisted development, business-system improvement, workflow analysis, operating-model design, SaaS operations, data use, domain knowledge, and client proposal experience. The recruiting page does not publicly target any single company. It focuses on skills that match SOOO.CO.JP's position: turning existing apps and business systems into organization-management systems that can be updated through AI-assisted development. URL: https://sooo.co.jp/careers/ The partner program page is for AI development, business-system improvement, SaaS, data-visualization, workflow-analysis, and industry-domain specialists. Collaboration is framed around role clarity, confidentiality, personal-data handling, customer information, re-outsourcing conditions, deliverables, and responsibility boundaries. Partners may support specialist review, workflow analysis, PoC design, system implementation, education, maintenance handoff, and ongoing improvement reviews. URL: https://sooo.co.jp/partners/ - Content production changing from scattered requests, review comments, and file versions to a workflow for brief, assignment, production, review/version control, delivery, and post-delivery improvement. - Industry-experience commercialization changing from tacit internal know-how to an external service workflow for intake, quality, billing, MVP validation, KPI review, and AI-assisted improvement updates. URL: https://sooo.co.jp/insights/ ## Case Study Pages The case pages are workflow transformation models for proposal and consultation. They should not be treated as named client proof. - Medical and welfare record management: https://sooo.co.jp/cases/medical-welfare-record-management/ - Manufacturing quality approval: https://sooo.co.jp/cases/manufacturing-quality-approval/ - Multi-location operations management: https://sooo.co.jp/cases/multi-location-operations-management/ ## Current Anonymous Refresh Domains SOOO currently treats these as anonymous domains rather than named public client case studies: - Home medical service operations: unifying policy-heavy service operation, staff availability adjustment, records, exception handling, and billing confirmation into a core workflow. - Cleaning service operations: unifying field arrangement, work reports, quality confirmation, customer or site communication, and billing-related confirmation. - Private lodging operations: unifying reservations, cleaning, facility response, guest inquiries, on-site confirmation, and operating status. - Production and distribution operations: unifying production information, inventory, quality, shipping, delivery confirmation, and inquiry handling. The shared strength across these domains is not only initial build speed. SOOO can run field testing with users and incorporate feedback from testing into screens, workflows, conditions, and records without the long delay often associated with conventional development handoff. ## Article Pages - 基幹業務システムを、改善更新できる運用体制へ: https://sooo.co.jp/blog/ai-maintained-management-system/ - 連携時間削減とROIを、初回相談でどう見積もるか: https://sooo.co.jp/blog/workflow-roi-calculation/ - SaaS導入と、事業専用の基幹業務システムの違い: https://sooo.co.jp/blog/core-business-system-vs-saas/ ### 業務フロー分析ワークショップ A first-step workshop, typically 2-3 hours, that clarifies current workflow, improvement points, likely scope, cost and schedule assumptions, expected effects, and next decisions. URL: https://sooo.co.jp/services/workshop/ ## Industry Pages The site organizes industry pages into three categories. Industry pages are not only sector labels; they explain how to choose an industry context, narrow the target workflow, inventory existing systems, and leave usable operational information such as workflow maps, operating-rule design, AI use cases, KPI review items, and improvement roadmaps. Each industry detail page covers likely pain points, priority support focus, Before/After workflow changes, AI use cases, operating information to keep, KPIs, and FAQ. ### 規制・専門判断領域 Includes legal, accounting, labor, research, trading operations, and other domains where records, approvals, reviews, and expert judgment matter. Detail pages in this category include legal, accounting, labor, research, and trading operations. The content emphasizes request intake, review criteria, evidence management, judgment logs, approvals, rework reasons, regulatory or rule-change handling, and AI support for draft preparation, classification, review point extraction, and improvement request organization. Category URL: https://sooo.co.jp/fields/category/professional/ ### 医療・看護・福祉領域 Includes medical, nursing, and welfare settings where accurate records, handoffs, audits, and field burden affect service quality. Detail pages in this category include medical, nursing, and welfare. The content emphasizes handoffs, records, audit logs, staff availability, exceptions, billing checks, continuity of support, and AI support for summarization, classification, confirmation checklists, exception detection, and improvement backlog management. Category URL: https://sooo.co.jp/fields/category/healthcare/ ### 産業・現場オペレーション領域 Includes agriculture, manufacturing, wholesale, logistics, retail/service, real estate, construction, food, creative operations, recruitment/external partner management, and web design operations. Detail pages in this category include agriculture, manufacturing, wholesale, logistics, retail/service, real estate, construction, food, creative operations, recruitment/external partner management, and web design operations. The content emphasizes field reports, progress sharing, inventory and quality checks, customer or partner responses, approvals, notifications, KPI visibility, and AI support for report classification, anomaly detection, notification routing, and continuous workflow updates. Category URL: https://sooo.co.jp/fields/category/operations/ ## Contact And Conversion Users are encouraged to start from the primary intake page, service guide, experience demo, emergency recovery page, or contact form depending on their urgency and clarity. The primary intake page is the broadest first step when the visitor has not yet decided the exact request. For urgent failures, users can also use the contact form directly and choose emergency-related issue and timing options. For industry-experience commercialization, users can choose the service intent for turning industry experience into a new business, back-office service, or shared operations platform. For demos, users can apply or share their situation first, then SOOO can guide them to the demo closest to their business theme. The form supports signals such as "system not displaying", "form sending or login failing", "no maintainer can fix it", and "industry experience should be expanded into a service"; urgent submissions are highlighted in the Teams notification flow. The resource checklist page helps internal stakeholders align before the first meeting. Useful information before contacting includes the current reporting, approval, recording, and handoff flow; tools in use; points where delays or rework occur; desired timing; and, for urgent failures, observed symptoms, impact scope, occurrence time, recent changes, and available admin or hosting permissions. For business-design inquiries, useful information includes industry know-how, potential recipients, shared operations candidates, billing or quality constraints, and a small first target for MVP validation. Contact URL: https://sooo.co.jp/contact/ Primary Intake URL: https://sooo.co.jp/hearing/ Checklist URL: https://sooo.co.jp/resources/ai-operating-model-checklist/ ## Decision Resources - Service guide: https://sooo.co.jp/services/guide/ - Service packages: https://sooo.co.jp/services/packages/ - Pricing guide: https://sooo.co.jp/services/pricing/ - Before-start checklist: https://sooo.co.jp/resources/pre-contract-checklist/ - Information left for ongoing operations: https://sooo.co.jp/resources/sample-deliverables/ - AI, video, and voice data handling policy: https://sooo.co.jp/resources/ai-data-handling-policy/ - Emergency recovery checklist: https://sooo.co.jp/resources/emergency-recovery-checklist/ - Technology validation checklist: https://sooo.co.jp/resources/ai-poc-checklist/ The before-start checklist explains what should be clarified before a proposal or contract: objective, cost and schedule assumptions, permissions, contracts, source code, backups, NDA or confidentiality handling, data categories, short-term recovery scope, long-term maintenance handoff, and outcome KPIs. The sample deliverables page is now framed as information left for ongoing operations. It shows the kinds of decision materials that can be created after consultation or workshop: current workflow map, system asset and permission inventory, technology validation production decision sheet, operating-rule design sheet, AI-assisted improvement roadmap, and recovery handoff checklist. The AI data handling policy explains how AI-assisted development, video AI, voice AI, and event-monitoring PoCs should handle personal information, recordings, video, images, logs, training use, storage period, deletion, access rights, and human confirmation boundaries. The emergency recovery checklist explains what to share when systems suddenly stop displaying, forms fail, login fails, notifications do not arrive, external APIs fail, or maintainers are absent. The technology validation checklist explains what to confirm before video AI, voice AI, or event-monitoring PoC work: input data, quality, permissions, false positives, missed detection, misclassification, notification design, records, privacy constraints, costs, and operational workload. ## Crawl And Indexing Entry Points - Sitemap: https://sooo.co.jp/sitemap.xml - Robots: https://sooo.co.jp/robots.txt - Search indexing manifest: https://sooo.co.jp/.well-known/search-indexing.json - AI discovery manifest: https://sooo.co.jp/.well-known/ai-discovery.json - Short LLM summary: https://sooo.co.jp/llms.txt Use the sitemap for canonical public URL discovery. Use `robots.txt` to avoid admin and API paths. Use the search indexing manifest for operational references to the current canonical host and public crawl files. Use the AI discovery manifest when selecting the best public source for Gemini, Claude, Grok, ChatGPT, or other answer engines. ## Do Not Treat As Public Source - https://sooo.co.jp/admin/ - https://sooo.co.jp/hearing-admin/ - https://sooo.co.jp/api/ These paths are operational/admin/API surfaces and are not intended as public explanatory content.