
Government & Public Services
Government Big Data Bureaus
Provincial big-data administrations, municipal data bureaus and more
Multi-agent drafting, policy retrieval and data aggregation with end-to-end audit — zero-hallucination AI for government work.
- Typical Customers
- Provincial big-data administrations, municipal data bureaus and more
- Sector
- Government & Public Services
- Capabilities
- Multi-AgentRAGAudit Trail
Typical customers
provincial big-data administrations, municipal and district government data bureaus, e-government cloud centers and digital-governance command centers.
Pain points
siloed data across bureaus makes manual aggregation slow; drafting and reporting involve heavy duplicate work; generic LLMs hallucinate on policy details, which government documents cannot tolerate.
- There is a serious problem of data silos in cross bureau offices, and manual consolidation of ledgers, reports, and materials for analysis is time-consuming and time-consuming, with poor timeliness.
- There are massive amounts of policy documents, red headed documents, and meeting minutes, and the workload of manual retrieval, interpretation, and matching is enormous.
- The homogenization of official document writing, report materials, work summaries, and feasibility study materials is severe, and there is a lot of repetitive work.
- 通用大模型易产生数据幻觉、政策错误,政务公文零容错,不敢直接上线。
- 缺少统一的 AI 审计、留痕、权限管控体系,不符合政务等保要求。
- The customized development cost of new projects is high, and there is no standardized government AI asset accumulation, making it impossible to replicate in bulk.
Solution
a dedicated multi-agent cluster for drafting, policy retrieval, data aggregation and risk checking, backed by a private RAG knowledge base of official documents only, with full audit trails and low-code integration into OA and big-data platforms. End-to-end delivery: customer engagement, computing resources, deployment, contract and acceptance; koolda provides agent templates, hallucination controls, knowledge-base guidance and technical backstop.
- 搭建政务专属多智能体集群:公文编撰 Agent、政策检索 Agent、数据汇总 Agent、风险校验 Agent、审计留痕 Agent。
- Privatize the deployment of the government RAG knowledge base, only calling on customer official red header files, policy libraries, and ledger data, completely eliminating model illusions.
- Built in government standardization skills library: work summary, report PPT copy, request report, approval document, policy interpretation, data analysis template.
- 开启全链路政务级审计:每一次调用、每一份公文输出、每一次修改全程留痕、可追溯、可审计。
- 支持低代码工作流编排,自动对接政务 OA、大数据平台、指挥调度系统,实现 AI 结果直接落地业务。
- 一站式交付保障:客户对接、算力开通、私有化资源部署、商务签约、合规审核、项目验收全程护航。
- Koolda provides government intelligent agent templates, illusion prevention and control configurations, knowledge base construction guidance, FDE technology empowerment, and full process technical support.
Government Big Data Solution FAQs
Can AI summarize the scattered data of various departments in the bureau in different systems?
Can. Multi agent automatic cross system extraction and summarization, replacing manual department by department handling; The data is not exclusive to the environment, and the summary caliber is recorded throughout the entire process.
What should I do if there is a policy statement error when using AI to draft official documents?
The private RAG knowledge base is only based on the official documents of this bureau, and the output has been verified for risk, with zero illusions in government scenarios.
Can we access our existing OA and big data platforms?
Can. Low code access without affecting the existing system.
Don't see your industry?
Every solution can be tailored on the koolda platform — tell us about your business scenario and we will plan the delivery path together.
