AI Workflow Automation
Embed AI decision-making into business flows (e.g. inquiry→CRM automation), slashing end-to-end cycles by 70%+.
Applicable Scenarios
How AI Agents solve your business pain points?
Smart Customer Service & Sales
Integrate with enterprise knowledge bases to answer inquiries accurately 24/7 in multiple languages, automatically extracting leads into CRM.
Cross-System Workflow Automation
Use n8n to connect heterogeneous systems like ERP, Email, and Slack, eliminating manual data entry and fully automating order processing.
Multimodal Content Generation
Combine LLMs with image/video generation models to bulk-produce social media copy, product images, and scripts for marketing teams.
25 Leads and 5 Opts Suggestion Generated
Our Service Process
Transparent and efficient 4-step delivery from needs to deployment
Diagnosis & AI Potential Assessment
Deep dive into your pain points, analyze which links are best suited for AI, and output an 'AI Automation Feasibility Report'.
Architecture Design & Prompt Engineering
Design integration schemes, build RAG architecture based on private data, and fine-tune Prompts to ensure AI accuracy.
Agile Development & MVP Delivery
Usually deliver a Minimum Viable Product (MVP) within 2-4 weeks, letting you quickly experience efficiency gains and iterate.
Deployment & Continuous Tuning
Securely deploy to your cloud/on-premise environment, provide training, and continuously monitor AI performance for fine-tuning.
Technical Architecture
Secure and scalable enterprise-grade AI foundation
- Supports integration with top LLMs like OpenAI GPT-4, Claude 3, and DeepSeek.
- Visual workflow orchestration based on n8n, deeply integrating with 1000+ mainstream SaaS platforms.
- Enterprise RAG (Retrieval-Augmented Generation) technology ensures AI answers only based on your private knowledge base.
- Strict data privacy protection mechanisms, supporting private deployment of open-source models.