AI Adoption & DX
"We want to adopt AI but don't know where to start." "We're not leveraging our internal data." For companies facing these challenges, we provide end-to-end support from AI consulting to product implementation and operational assistance.
Common challenges you might face
From generative AI implementation to business process automation
Unsure how to leverage AI
You're considering adopting generative AI but can't determine which tools or methods are best for your company, leaving projects stuck at the PoC stage.
Internal data remains untapped
Internal knowledge and documents are scattered, making it time-consuming to find the information you need. There's no AI-powered search and utilization infrastructure.
Business digitalization isn't progressing
Manual and paper-based processes persist, and DX of ERP and workflows hasn't advanced. Integration with existing systems is also a challenge.
なぜ生成AIは定着しないのか？
多くの企業がAI導入に失敗する3つの根本原因と、私たちのアプローチ
PoC止まりで終わる
技術検証は成功しても、現場の業務フローに組み込めず放置される。導入目的が「AIを試す」になっており、解決すべき業務課題が不明確。
Unimon のアプローチ
業務課題の特定から始め、ROI を明確にしたうえで PoC を設計。本番移行までのロードマップを初期段階で策定します。
現場が使わない
経営層の号令で導入しても、現場担当者にとって「使い方がわからない」「既存業務の方が早い」と感じられ、利用率が低下する。
Unimon のアプローチ
現場ヒアリングを徹底し、実際の業務フローに沿ったUI/UXを設計。段階的なトレーニングプログラムで定着率を向上させます。
セキュリティ懸念で止まる
「社内データをAIに渡して大丈夫か？」という懸念が経営層・情報システム部門から上がり、プロジェクトが凍結される。
Unimon のアプローチ
AWS Bedrock / Azure OpenAI によるクローズド環境を標準提案。データが外部に出ないアーキテクチャで、情報システム部門の承認を得やすくします。
Proven results
Proposed solutions
The best products and services for this challenge
Consulting services
RAG Development
RAGBuild RAG (Retrieval-Augmented Generation) systems to maximize the use of your internal knowledge with AI. Achieve high-accuracy information retrieval and operational efficiency.
Internal Knowledge Search
Vectorize scattered documents and enable instant search using natural language.
Secure Environment
Build closed RAG environments on AWS Bedrock / Azure OpenAI, eliminating data leakage risks.
Continuous Accuracy Improvement
Continuously improve search accuracy through feedback loops. AI grows as you operate.
Generative AI Consulting
Generative AIBuild safe generative AI environments leveraging your internal data, delivering AI assistants and workflow automation directly linked to business improvement.
Business-Specific AI Assistant
Build AI assistants that generate accurate answers based on your internal data.
Workflow Automation
Automate routine tasks like meeting minutes, report generation, and data analysis with AI.
From PoC to Production
Start with a small PoC and gradually scale. Verify cost-effectiveness before transitioning to production.
AI-Driven Development Support
AI-Driven DevSupport in-house system development leveraging AI technology. Provide consistent development support from PoC to production environments.
AI-Powered Dev Efficiency
Dramatically improve development speed with AI code completion and test automation.
Training Programs
Systematically acquire AI-driven development skills through e-learning formats.
Self-Sustaining Organization
Break free from external dependency and build an internal team capable of continuous AI development.
LLM Observability
LLM OpsTrack LLM usage, costs, and quality in real-time. Visualize AI ROI and optimize operations.
Usage & Cost Tracking
Visualize LLM usage and costs by model and department in real-time dashboards.
Quality Monitoring
Continuously monitor AI output quality through response scoring and hallucination detection.
Operational Optimization
Analyze the optimal cost-to-quality balance and recommend model selection and prompt improvements.
業務自動化ソリューション
人手に頼っていた業務をAIとワークフローで自動化し、生産性を飛躍的に向上
ドキュメント処理の自動化
請求書・契約書・報告書などの定型ドキュメントを、AIが自動で読み取り・分類・データ化。手入力ミスを排除し、処理速度を10倍に向上させます。OCR+LLMの組み合わせで、非定型フォーマットにも対応可能です。
処理速度10倍・エラー率95%削減ワークフロー自動化
承認フロー・データ連携・通知処理など、部門をまたぐ業務プロセスをAIワークフローで自動化。既存のSlack・Teams・kintone等のツールと連携し、今の業務環境を変えずに効率化を実現します。
業務処理時間70%削減データ入力・集計の自動化
Excelやスプレッドシートへの転記作業、月次レポート作成、KPI集計などの繰り返し業務をAIが代行。人的リソースを付加価値の高い業務にシフトし、残業時間の大幅削減に貢献します。
月間40時間の工数削減カスタマーサポート自動化
社内FAQやマニュアルを学習したAIチャットボットが、問い合わせの一次対応を24時間自動で処理。対応品質を均一化しながら、サポートチームの負荷を大幅に軽減します。
問い合わせ対応時間60%削減導入の流れ
PoC から本番運用まで、段階的に進めるから安心
無料相談・課題ヒアリング
1〜2週間現状の業務課題・AI導入の目的を整理し、最適なアプローチを提案します。
PoC（概念実証）
1〜2ヶ月小規模な検証で効果を数値化。費用対効果を確認してから次のステップへ進めます。
本番環境構築・導入
2〜3ヶ月セキュアな環境でシステムを構築し、既存業務フローへの組み込みを実施します。
運用定着・継続改善
継続トレーニング・月次レポート・プロンプト改善で、AIが組織に定着するまで伴走します。
Case studies & portfolio
Customer success stories and development projects
Case studies
Japanese Startup
Challenge
Product documentation and internal knowledge were scattered, slowing onboarding for new employees.
Solution
Built a RAG system to make internal knowledge searchable and AI-accessible in natural language.
Result
New employee onboarding reduced from 3 months to 1 month
Major Education Service Provider
Challenge
Urgently needed to move in-person training online, but the existing LMS lacked video streaming and AI capabilities, leading to high dropout rates.
Solution
Built an AI-powered LMS with HLS video streaming, AI learning progress tracking, and drag & drop curriculum design.
Result
Course completion rate improved from 45% to 78%. Training content production time reduced by 50%
Global Logistics Company
Challenge
Warehouse management, dispatching, and invoice processing were all manual, causing chronic human errors and overtime.
Solution
Built an AI workflow automation platform integrating multiple AI providers to automate business processes.
Result
70% reduction in processing time. Monthly human errors reduced to nearly zero
Mid-Size Accounting Firm
Challenge
Manual journal entry input for 200 client companies, with over 100 hours of monthly overtime during peak season.
Solution
Built an accounting system with RAG-powered AI journal entry suggestions, automatically recommending optimal account categories from historical data.
Result
65% reduction in journal entry time. Peak season overtime reduced to under 20 hours/month
Major Staffing Agency
Challenge
Recruitment market analysis was done manually, spending 20 hours per week from data collection to report generation.
Solution
Built an AI recruitment analytics platform automating job data collection, structuring, and competitive analysis.
Result
Report generation automated: 20 hours/week reduced to 2 hours. Data coverage expanded 3x
Video Streaming Startup
Challenge
Video content production and delivery took 2 weeks per video, with manual subtitle and chapter creation as the bottleneck.
Solution
Built a video management system integrating HLS streaming with AI transcription and automatic chapter generation.
Result
Video publication lead time reduced from 2 weeks to 3 days. AI subtitle accuracy over 95%
Development portfolio
Subscription-Based Next-Gen LMS
A next-generation subscription-based learning management system with RAG (Retrieval Augmented Generation) and advanced assessment capabilities. Admin panel provides user/subscription management and email campaigns.
- High-precision content search via RAG
- Automated subscription billing and management
- Email campaign delivery
Enterprise Workflow Automation Platform
A multi-step workflow automation platform integrating multiple AI providers. Enterprise-grade infrastructure with scheduled execution, conditional branching, and error handling with retries.
- Multi-AI provider support (OpenAI, Claude, Gemini)
- Scheduled execution and multi-step workflows
- Enterprise-grade error handling and retries
AI Workflow Integration Platform
Integration platform for Dify AI workflows. Seamlessly embeds AI workflows into business systems through MCP (Model Context Protocol) support, JWT authentication, and webhook integration.
- Native integration with Dify AI workflows
- MCP protocol support
- Secure connections via JWT auth and webhooks
MCP Server & RAG Search Engine
A Model Context Protocol compliant JSON-RPC 2.0 server and high-precision RAG search engine. Core infrastructure for LLM agents to securely access internal data.
- MCP-compliant JSON-RPC 2.0 server
- High-precision RAG with vector search
- Secure integration with LLM agents
選ばれる理由
大手コンサルとは異なる、実装力に裏打ちされたAI支援
戦略だけでなく実装まで一貫対応
コンサルティングファームにありがちな「提案だけ」で終わらず、RAG構築・API連携・UI開発まで自社エンジニアが一貫して担当します。
最短1ヶ月で本番稼働
タイ・日本で1,850件以上の開発実績を持つチームが、スピード感のある導入を実現。PoCから本番までの期間を最小化します。
セキュリティファーストの設計
AWS Bedrock・Azure OpenAI によるクローズド環境が標準。金融・医療・法務など機密性の高い業界での導入実績があります。
LLMオブザーバビリティで効果を可視化
導入後のコスト・品質・利用率をダッシュボードでリアルタイム追跡。投資対効果を数字で証明します。
東南アジア×日本のバイリンガル対応
バンコク・東京・ビエンチャンの3拠点体制。日本語・英語・タイ語・ラオ語の多言語AI構築に対応します。
よくあるご質問
生成AIコンサルティングに関するよくあるご質問にお答えします
Considering AI adoption or DX?
From AI implementation to data utilization and business process automation, we propose the optimal solution tailored to your challenges.