What enterprises need is not "more powerful AI," but "an AI implementation solution that better fits them." AI Agents do not replace people; they amplify people's capabilities. Kailing does not build large and comprehensive enterprise systems, but focuses on specific business links, deploying AI agents lightly and launching them quickly, truly landing them in your own business processes—from scenario to implementation, creating measurable value.
Personal tools solve personal problems; enterprise Agents build organizational capabilities—not only getting things done faster, but enabling enterprises to operate more intelligently
Automate repetitive, rule-based work with 7×24 uninterrupted operation, allowing employees to focus on high-value tasks.
Reduce manpower input and error costs, optimize resource allocation, and improve operational quality while reducing costs.
Based on real-time data analysis and insights, provide precise recommendations and forecasts to help management make quick decisions and seize opportunities.
Standardized process execution, complete records and traceability, private data deployment, and fine-grained permissions effectively reduce operational risks.
Based on the deep integration of large models and enterprise knowledge, build an intelligent closed loop of perception, understanding, decision-making, execution, and evolution
It can not only understand and think, but also autonomously plan, call tools, execute tasks, and continuously learn — a closed loop of understanding, planning, execution, reflection, and learning
Precisely understand user needs and business intent, identify key information and context, and turn vague demands into clear goals.
Automatically break down complex tasks into executable steps, formulate optimal execution plans, and advance multiple steps in an orderly manner.
Flexibly invokes various tools, systems, and APIs, connecting internal and external enterprise capabilities, enabling Agents to truly 'take action'.
Quickly retrieve the enterprise knowledge base and external information, combined with RAG retrieval augmentation, to provide accurate, traceable knowledge support.
Execute tasks independently and monitor results in real time, dynamically adjusting strategies based on feedback to ensure stable delivery.
Equipped with short-term and long-term memory, accumulating experience, remembering preferences, supporting personalization and continuous optimization.
Reflect on and summarize the execution process and results, proactively identify problems, and continuously improve accuracy and efficiency.
Continuously learn through data and feedback, constantly evolve, adapt to business changes, and become smarter with use.
Each scenario corresponds to a real business interface, from pain point to solution, from process to benefit, running end to end
Invoices are large in number, complex in type, and policies and rules change frequently. Manual verification one by one is inefficient and error-prone, and problems are often discovered only at the reimbursement and booking stages.
AI Agent automatically completes invoice processing before prepayment Authenticity, compliance, completeness, duplication and other multi-dimensional verification, with real-time prompts for risk identification and problem location, and built-in Tax policy library, validation rule library, blacklist and whitelist library, risk model library, duplicate reimbursement is intercepted immediately upon match.
Data is scattered across multiple systems and institutions, difficult to obtain, and costly to integrate. Traditional rule-based assessment methods are single-dimensional and cannot fully reflect user credit status.
AI Agent Integrate multi-source data, build multi-dimensional features and intelligent models, achieving automated assessment and risk identification, outputting Explainable credit scoring and reports, identifying potential risks such as fraud and multiple borrowing, supporting compliance review and multi-scenario decision-making.
Project information sources are scattered and contain much unstructured content. Manual collection and organization are time-consuming, and the lack of unified evaluation standards makes it highly subjective, making it easy to miss high-quality opportunities.
AI Agent Integrate multi-source information including business registration, finance, public opinion, news, and patents, automatically extract, structure, and perform multi-dimensional intelligent assessment, generating preliminary screening ratings and risk alerts to help investment institutions quickly identify high-potential targets.
Enterprise knowledge is scattered across multiple systems, documents, and personal computers, making unified management difficult, with low search efficiency and chaotic versions, high learning costs for new employees, and difficulty passing on experience.
Integrate multi-source knowledge from inside and outside the enterprise to build a unified knowledge base, providing Intelligent retrieval, knowledge Q&A, summarization, knowledge recommendation and other capabilities, the answer Automatically label the source, accurate and citable, truly empowering business with knowledge.
Large resume volume, time-consuming manual screening, long recruitment cycles, shallow keyword matching, and difficulty accurately identifying candidates' true abilities and potential; candidates are scattered across multiple channels, and high-quality talent is easily missed.
Based on job requirements and semantic understanding Build talent profiles and matching models, integrating multi-channel talent data, intelligently searching, evaluating, and recommending candidates, and continuously learning and optimizing to help HR quickly find the most suitable talent.
New employees lack hands-on experience and take a long time to become productive. Traditional training focuses on knowledge learning and lacks real practice, with fixed scripts that are highly repetitive and training results that are hard to quantify.
Integrating the position capability model, business scenarios, and customer profiles,AI simulates real customers for one-on-one practice with employees, real-time understanding and dynamic responses, restoring the real business through multiple rounds of follow-up questions, and providing Capability scoring and personalized improvement suggestions, forming a closed-loop training system.
Flexible access at the data layer, standard tool invocation at the Agent layer, deep integration with the enterprise's existing systems, and end-to-end process automation
Weaver OA
Seeyon OA
Landray OA
DingTalk
Feishu
WeCom
All types of ERP
CRM
HR System
Procurement System
Open Interfaces
Project System
Tax invoice data
Invoice data
Business ledger
Industry reportsBusiness registration data
Public opinion data
Document / Email
Real-time DataGeneral large modelIndustry large modelModel fine-tuningVector retrievalHybrid retrievalReorder
SAP
Oracle
Yonyou NC
Kingdee
Inspur
ICBC
China Construction Bank
China Merchants BankMature methodology, reusable capability components, and end-to-end service processes, with multiple deployment methods to meet different enterprises' security and compliance requirements
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