TUWEI Innovation Inc. EST. 2022

Intelligence, engineered into business.

We fuse IT consulting with generative AI to redesign how enterprises decide and operate — from strategy to implementation to run, we stay with you all the way.

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FIG. 01 — knowledge graph, live query pulse
22+
years of engineering
3
major cloud platforms
50+
AI projects delivered

From strategy to implementation. PoC to production. Humans to AI.

— what we bridge
SERVICES

Four practices, one AI-native transformation.

01
IoT / ML

IoT, Big Data & Machine Learning

Real-time sensor & operational data pipelines, anomaly detection and demand forecasting via ML. VR/AR and digital twin integration, fused with generative AI for intelligent decision support.

02
CLOUD / AIGC

Cloud & AIGC Services

Scalable architecture on Azure / AWS / GCP, and generative-AI chatbots, summarization, translation, image generation, and workflow automation — end-to-end from PoC to production.

03
BUSINESS ARCH.

Business Architecture

System optimization, re-platforming, and on-prem to cloud migration. Generative AI applied to proposals, minutes, manuals, and knowledge retrieval — dramatic gains in productivity.

04
SECURITY

Security & Governance

Zero-trust architecture design (Azure Security Center / AWS Security Hub), audit and incident response, plus risk assessment and prompt-security for generative AI deployment.

FLAGSHIP

A RAG that reflects on itself.

Self-Reflective Retrieval-Augmented Generation.

A RAG system with built-in self-reflection. Administrators flexibly manage vector databases; the AI evaluates and regenerates its own responses. A hybrid AI platform that gets smarter as you use it.

User Flow
Ask ──▶ Router ──▶
General Generate
Business VDB search Generate
──▶ Self-Reflect ──▶ Answer
Admin Flow
New data ──▶ Prep ──▶ Approve ──▶ To VDB
01
Automatic routing
Router dispatches queries to VDB search or direct generation
02
Self-reflection
AI evaluates its own answer, regenerating when needed
03
Human-in-the-loop
Admin approval flows back into the VDB, strengthening learning
04
Enterprise ready
Secure, flexible, and built for scale
Use cases
  • Internal helpdesk automation
  • Customer support acceleration
  • FAQ generation & maintenance
  • Enterprise knowledge search
AI SERVICE LINEUP

From generative AI to AI agents that execute work.

We deliver AI services that plug into real operations — D365, Power Platform, internal data, workflows, technical documents, and shop-floor operations. Not just chatbots: agents that connect to your systems and trusted data to support decisions, application checks, inquiries, analysis, and on-site improvement.

01
Embedded Business AI Agent
AI agents as part of your business systems.
EMBEDDED AGENT

Yesterday's AI focused on individual productivity — drafting, searching. Tomorrow's AI connects to your business platforms — D365, Power Apps, SharePoint, Excel registers, internal workflows — to support the actual process. We embed AI agents inside your existing systems to automate and elevate application checks, data lookups, input assistance, progress tracking, and inquiry response.

Capabilities
  • Automated application validation
  • Detection of missing/incomplete inputs
  • Duplicate checks against history & masters
  • D365 / Power Apps / SharePoint integration
  • Rule-based decision support
  • Workflow entry & update assistance
  • Routing inquiries to the right application
Use cases
  • Pre-check for D365 user permission applications
  • Input review for COA / org code / vendor master
  • AI-assisted input for Power Apps forms
  • Inquiry response via SharePoint manuals
  • Missing info & approval-condition checks before WF submission
Impact
  • Fewer errors & rework
  • Reduced verification workload
  • Standardized tacit decision rules
  • Faster inquiry response
  • Better reuse of operational knowledge
02
AI Review for Specialist Documents
AI reads your specialist documents and raises their quality.
AI REVIEW

Business manuals, external design docs, requirements, contracts, regulations, and test specs demand accuracy, structure, completeness, and clear expression — but review takes deep expertise and time. Grounded in the document's purpose and business context, AI reviews content and surfaces improvements. Not just spellcheck: business-perspective, user-perspective, and consistency-perspective quality lifting.

Capabilities
  • Structural improvement suggestions
  • Detection of vague or missing explanations
  • Consistency with business rules
  • Clarity of diagrams, procedures, wording
  • Rewriting for end-user audiences
  • Coverage checks for requirements / design / testing
  • Multilingual quality (JA / EN / ZH)
Use cases
  • User-facing rewrites for Power Apps manuals
  • Review of D365 external design documents
  • Consistency checks on requirements docs
  • Improvement of internal regulations & application rules
  • Coverage review for test specifications
  • Quality lift for client-facing proposals
Impact
  • Less review effort
  • Standardized review criteria
  • Manuals users actually understand
  • Higher design & requirements quality
  • Consistent quality across languages
03
MCP & Internal Data Integration for AI
Connect trusted data to AI.
MCP / DATA

For AI to work in the enterprise, it must access the right information — not just public web, but your D365, SharePoint, internal DBs, master data, application history, FAQs, and manuals — securely. Using MCP, RAG, and related techniques, we wire your trusted internal and external data into AI agents.

Capabilities
  • D365 data integration
  • SharePoint & internal manual search
  • SQL Server / PostgreSQL / Dataverse connectivity
  • Vendor master & DUNS data linkage
  • Application & inquiry history reference
  • AI search over FAQs and regulations
  • Permission-aware secure connections
Use cases
  • Natural-language queries against D365 finance / procurement / inventory / masters
  • SharePoint manual-backed inquiry response
  • Customer analysis using vendor masters + DUNS
  • COA / org code / master registration status checks
  • History-aware application validation
  • Internal knowledge search agents
Impact
  • Higher AI answer reliability
  • Better internal data utilization
  • Shorter search time
  • Unified access to decision-critical info
  • Data-driven operations
04
Physical AI & Robotics PoC for Logistics / Manufacturing
See on-site operations with AI; validate what to automate.
PHYSICAL AI

AI applies beyond the office — to warehouses, factories, inspection, transport, maintenance. By combining camera feeds, sensor data, work logs, inventory, and equipment data, we surface visibility, quantify automation potential, and validate the impact of robots. We offer PoC planning and field validation for logistics and manufacturing sites.

Capabilities
  • AI visualization of on-site work
  • Flow & route analysis
  • Warehouse & factory layout improvement
  • Image-based anomaly detection & inspection
  • Identification of robot-suitable tasks
  • Digital twin & simulation studies
  • AMR / transport robot PoC support
Use cases
  • Warehouse picking efficiency analysis
  • Automation study for stock-taking
  • Forklift & worker flow analysis
  • Production line anomaly detection
  • Image-AI for inspection tasks
  • Impact validation before transport-robot rollout
Impact
  • Visibility of on-site operations
  • Lower risk before robot introduction
  • Improved efficiency & safety
  • Labor-shortage countermeasure
  • Logistics & manufacturing DX momentum
05
Domain-Specialized AI Agents
AI assistants tuned per team and per business function.
DOMAIN AGENT

Generic AI chat can't cover company-specific rules and departmental judgment. We build agents specialized for IT, Finance, MDM, D365, Power Platform, HR, Procurement, Sales Ops, and more — learning from manuals, past inquiries, application rules, system info, and department-specific practice to deliver AI assistants that work on the front line.

Capabilities
  • First-line response for internal inquiries
  • Manual-grounded answers
  • Guidance on application rules & approval conditions
  • D365 / MDM / Power Apps inquiry response
  • Inquiry classification & prioritization
  • Escalation support to the right team
  • Automated FAQ / knowledge-base updates
Use cases
  • D365 inquiry AI
  • MDM master-application support AI
  • Power Apps operations support AI
  • IT helpdesk AI
  • Finance & accounting rule AI
  • Internal regulations AI
  • Project PMO support AI
Impact
  • Reduced inquiry workload
  • Standardized answer quality
  • Elimination of tacit-knowledge silos
  • Faster onboarding for new members
  • Faster internal operations
RECOMMENDED
PACKAGE

D365 / MDM Business AI Agent Implementation Package

A ready package for companies running D365, MDM, Power Apps, and SharePoint — AI-supported inquiry handling, application checks, and master verification.

Target scope
  • D365 user permission applications
  • COA applications
  • Org code applications
  • Vendor master applications
  • DUNS data utilization
  • Power Apps application workflows
  • SharePoint manual search
  • Internal inquiry response
What we deliver
  • Analysis of current operations & inquiries
  • AI agent design
  • Internal data & manual integration
  • Application-check rule design
  • Prototype development
  • PoC execution
  • Production rollout support
  • Continuous improvement
Expected impact
  • Fewer application rework loops
  • Reduced inquiry response time
  • Higher master-registration quality
  • Standardized business rules
  • Better internal knowledge utilization
  • Realization of AI-driven operations DX
WHY US

Business fluency, engineering depth — both, at once.

01
Business & technology in tandem
We understand not only AI but also the day-to-day of D365, Power Platform, MDM, workflows, master data, and data utilization — and design services that fit real operations.
02
PoC through production
Start small, validate, and scale — we help you move from prototype into production, in stages.
03
AI without ripping out systems
We use your existing D365, SharePoint, Power Apps, Excel, and internal DBs — pragmatic AI adoption without oversized system replacement.
04
Depth in domain-specific AI
Not generic AI — agents that reflect your company's rules, approval flows, master taxonomy, and inquiry history, rooted in your operations.
FIRST STEP

Start with a PoC.

You don't need to go big on day one. Target operations with heavy inquiry volume, frequent application errors, or time-consuming verification — and run a small PoC. We handle it end-to-end: from framing the business problem, selecting AI themes, prototyping, validating impact, to production rollout.

Embed AI into operations — into something the front line actually uses.
Request a PoC consultation
CONTACT

Let's talk.

For consultations, estimates, or joining the team — reach out. Initial conversations are always free.

Headquarters
107-1 Angyoryoke, Kawaguchi-shi Saitama 334-0058, Japan
Tokyo Office
Fujino Bldg. 402, 1-14-11 Taito Taito-ku, Tokyo 110-0016, Japan
Nagoya Office
Coming soon
Osaka Office
Coming soon
Shanghai Office
No.62, Lane 1880, Longyang Road Pudong New Area, Shanghai, China
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