Start with one business scenario and build your company's own AI productivity platform

Core capabilities

• Intelligent generation of product marketing materials: automatically produce compliant marketing copy from product attributes, market views and customer profiles
• Platform and channel content operations: generate differentiated content for each channel (Tiantian Fund, Ant Fortune, your own app)
• Copy, image, long-image and video production: one-stop multimedia content production
• Access to product materials, channel rules and company knowledge: accumulate the team's product know-how on OpenPartner's seven-layer architecture
• Ask product materials and business documents anything: powers copy, planning, operations and other business scenarios

Typical scenarios

• Launch marketing for new fund products
• Continuous operations for existing products
• Channel-specific content customization
• Client engagement and investor education
• Retrieval over relevant business documents, with the results used as references

Rollout path

1. Single-node quick deployment pilot (running in five minutes)
2. Build a custom RAG AI-digitization foundation
3. Help organize product materials and business documents and complete AI digitization
4. Configure marketing Skills and workflows
5. Scale out horizontally across nodes to support the whole team

Core capabilities

• Headquarters produces standard content and templates: the HQ team distills marketing methodology into reusable standard assets
• Employees personalize by customer segment, region and persona: each employee starts from the HQ template and tailors the output to local customer characteristics
• HQ-branch coordination, brand standards and permission management: HQ controls brand tone, branches execute flexibly, permissions stay strictly isolated
• Usage and performance data flows back continuously: employee usage and content performance data return to HQ to keep improving templates
• Ask business documents and product materials anything: powers copy, planning, operations and other business scenarios

Typical scenarios

• Wealth product marketing for bank branches
• Client management for insurance agents
• Private-domain operations for broker wealth advisors
• Unified brand control across regions
• Retrieval over relevant business documents, with the results used as references

Rollout path

1. Deploy a multi-node cluster at headquarters
2. Build a custom RAG AI-digitization foundation
3. Help organize business documents and product materials and complete AI digitization
4. Build a content middle platform (standard templates, Skills, knowledge base)
5. Deploy branches independently and connect them to HQ assets
6. Employees produce personalized content and data flows back to HQ

Core capabilities

• Intelligent document parsing: automatic parsing and structuring of PDF, Word, Excel and many other formats
• RAG retrieval-augmented generation: precisely match document passages through vector search and generate grounded answers
• Intelligent Q&A and summarization: automatically answer questions and produce summaries from company documents
• Permission control and audit: fine-grained document access control with a fully traceable audit trail

Typical scenarios

• Intelligent Q&A over company policies and process documents
• Intelligent retrieval across product materials and technical documentation
• Intelligent matching of key clauses in contracts and agreements
• Intelligent lookup and comparison of regulations and policies

Rollout path

1. Bulk-import and intelligently parse documents
2. Build vector indexes and retrieval strategies
3. Configure Q&A Skills and business workflows
4. Integrate with business systems and keep optimizing