Knowledge + AI agents
Unlock your enterprise's knowledge value
Knowledge Flow is Jiming's knowledge processing and enterprise knowledge base platform. It connects business documents, expertise and experience with industry AI agents, helping teams build and use knowledge across finance, education and business operations.
From knowledge to applications:
Build industry solutions with Knowledge Flow
Connect knowledge processing, knowledge bases and AI applications on one platform.
Turn business materials into knowledge
Organize documents, business manuals and expertise to create a foundation for knowledge bases and AI agents.
Discuss your use case- Knowledge
Build a shared knowledge foundation
Organize enterprise knowledge with Knowledge Flow and keep it relevant to your team's business questions.
Discuss your use case- Knowledge base
Put industry AI agents to work
Apply specialist knowledge to sales coaching, teaching support and enterprise Q&A.
Discuss your use case- AI agents
Who is Knowledge Flow for?
When building enterprise knowledge and deploying AI agents, your team may face these challenges：
Business materials
Scattered and hard to find
Expertise
Hard to retain
Repeated questions
Time-consuming
AI applications
Lacking context
Large language models are changing how we work. Bringing them into business creates new requirements that need to be addressed:
- Scattered materials make knowledge hard to accumulate
Documents, manuals and expertise live in different places, so finding and reusing knowledge takes repeated conversations. - Repeated preparation without a shared foundation
Different roles and applications prepare their own materials, making consistent maintenance and updates difficult. - Answers lack business context and are hard to assess
A general-purpose model alone is not enough. Results need to be checked against expertise, source materials and real tasks. - Deployment must respect real business boundaries
Data scope, user roles, system conditions and human review requirements must be defined in the solution.
Start with Knowledge Flow
Jiming's knowledge processing and knowledge base platform gives industry AI agents a shared knowledge foundation, keeping knowledge useful as your business evolves.
Knowledge: from business materials to a shared foundation
Knowledge Flow connects knowledge processing and knowledge base development around business materials, expertise and real questions, turning scattered information into a useful team resource.
Enterprise Knowledge processing capabilities
Organize business materials, manuals and experience into a clear content foundation for knowledge bases and agents.
- Identify sources, content scope and business uses
- Organize knowledge and context around specific tasks
Use an Enterprise knowledge base to connect team experience
Bring policies, product information, course materials and business experience into one shared knowledge foundation.
- Organize content by business topic and role
- Check knowledge coverage with real questions
- Maintain and update knowledge as business evolves
Knowledge and business, connected
Start with a concrete business question and connect content preparation, knowledge development and application validation.
- Define user roles and representative tasks first
- Review content and answers with domain expertise
- Improve knowledge continuously using feedback
Intelligence: one platform for different industries
Jiming combines industry knowledge with business tasks in finance, education and business operations.
Financial AI agents for services and training
Explore AI applications using financial expertise and real communication scenarios.
- Sales coaching: role-play, objection handling and training reviews
- Advisor support: specialist research and business information
- Risk identification: rule-based signals for human review
Education AI agents for teaching and learning
Support day-to-day teaching with course knowledge, teaching tasks and learning feedback.
- Teaching assistant: explanations and Q&A grounded in course content
- Personalized learning paths: content recommendations informed by learning progress
- Assessment feedback: identify gaps and support teacher review
Enterprise knowledge assistant for everyday work
Connect policies, processes and role-specific experience through an enterprise knowledge base.
- Enterprise Q&A: find business information and supporting sources
- Employee onboarding: understand role knowledge and operating requirements
- Workflow support: plan knowledge use around specific tasks
Delivery: validate and iterate around real business scenarios
Deploying AI agents takes more than models. Knowledge, workflows and business goals must work together.
Jiming delivers projects through scenario modeling, agent engineering, evaluation and implementation services.
Business scenario modeling, starting with real problems
Jiming works with you to define agent scope around business roles, workflows and goals.
- Interview stakeholders, align goals and select a clear pilot use case
- Prepare materials and representative questions for prototype validation
- Agree on evaluation methods based on expected outcomes
AI agent engineering, connecting knowledge and systems
Assess how to implement the knowledge platform and AI applications within your data environment and existing systems.
- Confirm knowledge sources, usage scope and content owners
- Assess interfaces, deployment environments and integration conditions
- Define features and business boundaries in the delivery plan
Continuous evaluation for ongoing improvement
Test knowledge and applications with real business questions, then improve them using pilot feedback.
- Create representative tasks and reference results for prototype testing
- Run a small pilot, collect issues and review results
- Keep knowledge current and define the next improvements
And more
About Jiming: bringing AI into practice
Shenzhen Jiming Technology Co., Ltd. builds and deploys AI agents across industries, connecting knowledge with business.
- Business scenario modeling
- AI agent engineering
- Evaluation and continuous improvement
- Security & compliance delivery
Working together around your needs
Assess solutions and costs together based on real scenarios, knowledge volume, system conditions and service scope.
- Business requirements and content preparation
- Prototype validation and knowledge development
- System integration and delivery assessment
- Service scope and pricing to be agreed separately
Build trustworthy, practical AI agents that keep improving for critical business workflows
We connect consulting, engineering, data governance and operations in one delivery process so teams can use and trust AI agents.
3+
Focus industries
100+
Scenario modules
24h
Online support
Figures reproduced from the original website, not live statistics. Results and service scope depend on the project agreement.
AI agent operations overview
An operations dashboard example from the original website, not connected to live business data.
Sales coaching
92%
Conversion conversation coverage
Teaching Q&A
18k
Weekly service interactions
Risk assessment
0.8s
Average response time
Knowledge governance
99.2%
Traceable reference rate
Suggested next step
The financial sales team has completed three practice rounds. Add objection-handling scenarios and share effective conversations in the knowledge base.
Industry scenarios and delivery capabilities
From business scenarios to ongoing operations
Design practical AI agent workflows from frontline processes, role-specific tasks and data sources.
Define application boundaries around business goals so teams can clearly assess the value of a pilot.
Start with stakeholder interviews and goal alignment, then validate prototypes and prepare knowledge.
Jiming: your partner in building and deploying enterprise AI agents.
Jiming · Delivery in practice
Connect large language models, knowledge bases, tool calls and permissions to bring agents into real business environments.
Jiming · Delivery in practice
Build continuous improvement around accuracy, conversion, response times and team productivity.
Jiming · Delivery in practice
Address data boundaries, audit trails and industry compliance requirements to reduce deployment risks.
Jiming · Delivery in practice
Support financial teams with sales coaching, investment-advisor assistance and risk assessment to improve service quality and efficiency.
Jiming · Delivery in practice
Support schools, training providers and learning platforms with Q&A, learning analytics, personalized recommendations and assessments.
Jiming · Delivery in practice
Combine language models, business workflows and data assets to take AI agents from demonstrations to real business outcomes.
Jiming · Delivery in practice
Validate prototypes and organize knowledge to move projects toward measurable goals.
Jiming · Delivery in practice
Integrate systems and assess security, with checkpoints for permissions, data and user experience.
Use phased rollout and ongoing operations to feed real-world feedback into the next improvement cycle.
Jiming · Delivery in practice
Use phased rollout and ongoing operations to feed real-world feedback into the next improvement cycle.
Every project follows verifiable goals, with checkpoints for metrics, permissions, data and user experience from prototype to launch.
Jiming · Delivery in practice
Ready to explore Knowledge Flow?
Start with one concrete scenario and explore enterprise knowledge and industry AI agents with Jiming.
