01 / Hero
From data integration to AI Agent execution —
building your enterprise's own digital workforce.
Helping enterprises:
Covering core operations, supply chain, management decisions, and more with AI transformation.
02 / Why Enterprise AI
AI technology is advancing far faster than enterprises can adopt it.
Many companies already run ERP, CRM, Feishu, and other systems — yet data silos, process fragmentation, and manual repetitive tasks persist. The real challenge isn't calling an AI model; it's embedding AI into the daily business workflows that run your enterprise.
That's why I chose to become an FDE (AI Forward Deployed Engineer) — responsible for the full closed loop from business analysis and architecture design to system development, deployment, and go-live. Making AI a long-term digital asset for your business, not just a demo.
I bring system-level architectural thinking, breaking down complex business problems into clean, structured solutions. In practice, I follow technical pragmatism and results-driven delivery — handling requirements analysis, architecture design, full-stack development, deployment, and go-live as a single point of accountability.
I specialize in cross-system resource integration — building end-to-end business closures from automated data collection and intelligent analysis to proactive alerts. Replacing uncertain business problems with deterministic automation for long-term cost reduction and efficiency gains.
Workflow Automation
Repetitive manual ops · Data transfer · Multi-system switching
Data Intelligence
Scattered data · Untapped information · No real-time visibility
AI Agent Execution
AI can answer but not act · Lacks automation tools
03 / How Enterprise AI Works
04 / AI Delivery Methodology
Behind every case study lies the same reusable closed-loop methodology — whether the scenario is ad bidding or inventory clearance, every delivered system follows the same four-stage structure:
The collection layer ensures data fidelity. The decision layer applies explainable rules/models. The execution layer writes directly back to existing enterprise systems instead of building new silos. The review loop gives the final say to the business owner — this is the fundamental difference between "full-stack delivery" and "calling a single API."
Behind every delivery is a complete layered architecture:
Integrates 8+ business systems (MES/ERP/CRM/PLM/WMS), API/database direct connect/ETL
Structured data via SQL, documents via RAG retrieval, routed by business type
Entity-relationship modeling giving AI true understanding of your data world, eliminating inconsistent naming across systems
Business capabilities wrapped as auditable, permission-controlled tools with MCP protocol standardization
LangGraph-driven stateful workflows designed by business nodes + branches + human intervention points — no black-box reasoning
05 / Enterprise AI Architecture
From data ingestion to Agent orchestration — a complete layered architecture for enterprise AI deployment.
The architecture spans seven layers from data ingestion to user interface — covering the full pipeline from data to decision.
06 / Case Studies
Real project deliveries from cross-border e-commerce and brand sellers.
Operations staff manually cross-checked ad dashboards, inventory tables, and competitor pages daily. Ad spend was disconnected from inventory, leading to overselling or stockouts.
Script pulled Feishu multi-dimensional tables, auto-matched SKU inventory levels, FBA→Winit automatic fallback, and real-time competitor ±5% price fluctuation alerts.
Tech Highlights: Playwright RPA + Feishu Cards + ERP Integration
Real-time Competitor Price Monitoring
Outdoor Gear · GMV ~50M
Competitors would adjust prices aggressively at midnight without detection. Operations spent hours on manual price checks, and missing a pricing window meant real profit loss.
Fingerprint browser + Playwright captured real front-end prices, ±5% filter eliminated noise, Feishu cards pushed in real-time.
Tech Highlights: Playwright RPA + AdsPower Fingerprint Browser + Feishu Card Push
Inventory & Logistics Risk Control
Home Furnishings · GMV ~80M
Long-cycle inventory holding and logistics delays were only discovered at month-end settlement. Warehousing, logistics, and operations data was scattered — anomalies drowned in a sea of data.
Auto-calculated delay days, TOP 5 high-risk orders pushed @ relevant person, 3/6-month dual-threshold inventory age alerts + weekly inventory value report.
Tech Highlights: OpenClaw Agent + Feishu @mention Push + Multi-source Data Fusion
ERP Automation Emergency Monitoring
3C Digital · GMV ~200M
The Jijia ERP official API authentication gateway failed, taking down the entire negative review monitoring system — third-party outages are a common reality in automation projects.
Instead of waiting for the official fix, switched the scraping layer to Playwright RPA within 24 hours — simulated login to scrape from the front end with zero changes to upstream logic.
Tech Highlights: Playwright RPA + Emergency Switch Mechanism + Feishu Notification Loop
OpenClaw Private Automation Hub
Multi-category · GMV ~500M
Core operational data flowing through public cloud posed trade secret leakage risks. Multiple isolated systems with no unified data view for management.
Full-stack OpenClaw private deployment, 7 types of daily/weekly reports pushed to Feishu, 100% physical isolation of core data.
Tech Highlights: OpenClaw Private Deployment + Feishu Integration + Multi-Agent Collaboration
07 / Services
Flexible options based on enterprise needs. Each service includes deployment support and long-term maintenance.
AI Workflow Automation
Ideal for enterprises needing fast resolution of specific pain points like daily report automation, competitor monitoring, or inventory alerts.
Enterprise Agent System
For enterprises needing to connect multiple business systems and build an enterprise-grade AI Agent ecosystem.
Private AI Deployment
For organizations with high data security requirements needing on-premise LLM and knowledge base deployment.
08 / Workflow
From diagnosis to go-live, every step has clear deliverables.
09 / Core Technology
A systematic tech stack supporting industrial-grade delivery — not just theory, but proven in production.
Integrated OpenAI / Claude / DeepSeek and 8+ mainstream model APIs. On-premise deployment experience with Ollama / vLLM.
Business capability modules wrapped around a private enterprise AI hub. Delivered 8 production-grade Agents for competitor monitoring, operations analysis, inventory health, and more.
Playwright browser automation + AdsPower / Purple Bird to penetrate API-less systems. Connected Feishu multi-dimensional tables, Interactive Cards, Kingdee ERP, and Shopify.
Document parsing → Chunking → Embedding → Vector search → Hybrid retrieval → Reranking → Knowledge-augmented generation — complete end-to-end production experience.
Entity, attribute, relationship, and business rule models designed around real scenarios. With ontology, Agents understand the full chain of "customer→order→product→process→equipment" — traceable and explainable reasoning.
Next.js / Python Flask frontend and backend. From requirements research to documentation, single point of accountability — no cross-team communication overhead.
10 / FAQ
Do you support private deployment?
Yes. Can be deployed on enterprise servers, cloud servers, or local network environments. Business data never passes through third-party platforms.
Do I need to replace our ERP?
No. Priority is given to integrating with existing ERP, Feishu, WeCom, and other systems to minimize business transformation costs.
How long is the delivery cycle?
Typically 2 to 8 weeks depending on project complexity. A phased delivery plan is provided after requirements are confirmed.
Do you sign an NDA?
Yes. NDA can be signed for projects involving business data or processes.
Do you provide post-delivery support?
Yes. Deployment support, bug fixes, and agreed maintenance services are provided. Long-term technical support is available based on project needs.
How is pricing structured?
Pricing is based on requirement complexity, system scale, and delivery scope. You can schedule a free consultation to get a business AI application assessment report.
11 / Contact
Turn AI from a demo
into a long-term digital asset for your enterprise
Free 15-minute scenario feasibility assessment · Evaluate integration complexity and Agent roadmap
No hype, just solutions. First call evaluates whether AI transformation is right for you — no hard sell.
Or reach out directly: Telegram @GeekHeron