AINNA NeuralOps
Protecting National 决策s. Preserving 机构智能.
AINNA NeuralOps presents a secure institutional intelligence 基础设施设计ed to help governments preserve policy knowledge, strengthen decision-making and protect sensitive information through 受治理的 AI orchestration, 分离式系统 and Secure Local LLM infrastructure.
机构智慧消失
随着每一次领导层更迭
机构 knowledge can disappear when leadership changes. 决策 context becomes fragmented across documents, while future administrations need the reasoning, evidence and implementation 历史 behind each policy rather than archived files alone.
退休与重组
Every retirement, promotion, ministry restructuring and leadership transition removes decades of accumulated experience, policy rationale and implementation lessons.
文档s Without 上下文
Most governments store documents. Very few preserve how decisions were actually made. 会议纪要, emails, presentations and policy papers exist but the reasoning behind them does not.
反复讨论
新谜题 leaders repeatedly restart discussions because previous reasoning cannot easily be reconstructed. 机构 memory becomes fragmented and expensive to rebuild.
敏感信息需要
National 控制
Public AI services offer powerful capabilities. However, governments cannot freely expose sensitive or strategic information to external providers.
What 政府s Cannot Expose
- 敏感信息与内阁讨论
- 国家政策与战略规划
- 采购 & defence intelligence
- 内部调查与监管规划
- 机构间沟通与法律意见
What AINNA NeuralOps Provides
- 完整y on-premise LLM infrastructure
- 数据 never leaves national jurisdiction
- PDPA compliance & built-in sovereignty
- 安全 VPN architecture, fully air-gappable
- 完整 审计追踪 & identity governance
每位授权领导人都获得
安全 数字化 管理层 Secretary
Not a chatbot. Not a replacement for human leadership. A 数字化 管理层 Secretary that understands responsibilities, hierarchy, policy 历史 and authorised documents operating only inside secure national infrastructure.
上下文-Aware
角色, hierarchy, policy 历史 and authorised documents only what the leader may see.
保留理由
谁提出的，有什么证据，有哪些备选方案，接受了哪些风险。
实现连续性
搜索able institutional memory so 新 leaders inherit wisdom, not only files.
总理
内阁协调、国家政策
部长
简报s, portfolio, agency coordination
副部长
端口folio oversight, policy review
首席秘书（KSU）
管理后台 coordination, implementation
Deputy KSU (TKSU)
部门运营、人员部署
Director-一般
部门战略、监管
部门主任
项目, team coordination
定制 角色s
适用于任何授权职位
管理层 briefings
将文件和机构反馈整合为简明简报，供部长审阅。
跟进事项 & 历史
追踪 commitments across agencies; retrieve prior decisions and the rationale behind them.
决策 options
当前 evidence, risk, fiscal and legal considerations not the decision itself.
机构协调
分享 only authorised sections; consolidate responses; keep classification boundaries.
All 沟通 流程s Through NeuralOps
未经授权治理，不得进行直接的AI对AI通信。
交互式演示
内阁 简报 备餐aration
部长要求：“准备明天的内阁简报，并获取法律、技术和财务方面的反馈。”
数字化 管理层 Secretary
面向政府领导层的实时情报仪表盘。
防护s That Cannot Be Compromised
- 人工审批 is mandatory. No AI 建议 becomes action without authorised human confirmation.
- AI 建议s are explainable. 每项建议都引用证据、源文件和推理链。
- 每项行动都经过审计。 完成 审计追踪 from request to recommendation to outcome.
- 每项通信都经过加密。 端到端加密，并带有分级感知的访问控制。
- 每项建议都引用证据。 政策 历史, legal basis, fiscal impact and risk assessment.
NeuralOps不是聊天机器人。
It Is a National AI 编排 平台.
企业版 architecture combining secure communication, Executive AI Agents, 分离式系统, 本地 LLMs, 知识 图谱s and 机构智能 every request 通过es through 受治理的 controls before AI is engaged.
"仅在确实需要高级智能时才使用高级 AI。"
How Every 请求 通过es Through 治理
Every 请求 Is 分析d Before 处理中
编排器为每项任务选择最安全、最具成本效益且最合适的处理层。
常规 任务 → 分离式系统
工作流 automation, document classification, metadata extraction, policy numbering deterministic execution at zero token cost.
文档 搜索 → 知识 图谱
发现政策、机构、决策与结果之间的关系——而不仅仅是孤立的文件。
Sensitive 分析 → Secure Local LLM
政策 analysis, executive briefings, risk assessment classified information never leaves the national infrastructure.
外部 研究 → 已批准 AI (净化d)
Only when authorised. 数据 is sanitised before external transmission. 结果s are validated before presentation.
探索 architecture 层
探索 Every Layer
确定性 引擎s for 常规 工作负载s
Execute repetitive tasks without continuously invoking LLMs. Zero token cost. 完整y deterministic.
工作流 自动化
自动mated task routing, approval chains, escalation triggers.
文档 分类
自动mated categorisation, sensitivity tagging, retention rules.
元数据提取
日期, author, department, reference deterministically extracted.
政策 Numbering
顺序编号、交叉引用链接、版本跟踪。
合规 验证
针对监管要求和内部政策进行基于规则的检查。
审批 路由
多-level approval workflows with delegation and escalation.
Deadline 监控
自动mated tracking of follow-ups, check-ins and expiry dates.
审计 Log
每项系统操作、访问和修改的不可变记录。
Sensitive Information Never Leaves the National 基础设施
政策 分析
对机密政策文件进行深度推理。
管理层 简报
带有证据和决策选项的简明摘要。
Meeting 智能
议程准备、会议纪要生成、行动提取。
文档 推理
交叉引用分析、差距检测、一致性检查。
Semantic 搜索
在数千份文档中即时查找相关上下文。
风险 分析
识别财政、法律、运营和政治风险。
Non-Negotiable 安全 架构
Smart 自动化 Without
Continuous AI 处理中
常规 deterministic workloads should not consume advanced AI resources. 分离式系统 execute structured, repetitive and rule-based work to increase efficiency, reduce cost, improve governance and reserve advanced AI for genuine reasoning tasks.
Advanced AI should only be used when advanced intelligence is genuinely required. Everything else should be processed by 分离式系统.
Specialised 引擎s for 确定性 工作负载s
这些工作负载不需要LLM推理。它们更快、更便宜、更可预测。
Every 请求 Is 班级ified Before 处理中
Incoming 请求
从 管理层 AI 智能体 or 系统
分类
是否需要推理？
独立系统
确定性 execution
72% 的所有请求Secure Local LLM
仅在需要推理时
23% 的所有请求人类 验证
强制审批
5% 复杂决策传统AI-首先 vs NeuralOps with 分离式系统
示例 & sustainability
How 分离式系统 Work in 业务
政策 文档 Upload
A user uploads a policy document. The 分离式系统 handle all structured processing automatically.
Ministry 合规 报告
A ministry requests a compliance report. 分离式系统 collect, validate and draft AI only analyses.
Smarter 工程, Not Less 智能
减少不必要的AI处理也降低了政府运营的环境足迹。
电力 需求
更少的GPU周期 = 更低的功耗
冷色ing 要求s
产生的热量更少 = 减少冷却基础设施
基础设施 利用率
优化d workload distribution across 系统s
碳足迹
运营排放可衡量的减少
私有智能.
National 控制.
Sensitive policy information remains inside controlled infrastructure. Secure Local LLM provides private AI reasoning while supporting data sovereignty, organisational governance and authorised human oversight.
本地 LLM architecture & ops
How Sensitive 请求s Are 已处理
Modular 多-模式l 部署
支持ing multiple approved LLMs without depending on a single vendor.
推理 服务器 Layer
vLLM、Ollama、TGI - 多个后端
模式l Registry
已批准 models catalogued & versioned
模式l 路线r
为每个任务选择合适的模型
GPU计算层
专用且隔离的GPU集群
Vector 数据base
语义搜索与检索
知识 图谱
实体关系与上下文
审计日志
每次推理操作都被记录
监控 仪表盘
健康 状态, latency, utilisation
Non-Negotiable 安全 架构
Sensitive Information Stays Within 控制led 基础设施
处理中 occurs entirely within authorised infrastructure. 数据 never leaves national jurisdiction.
- 内阁文件与国家安全规划
- 内部政策草案与法律意见
- 预算 discussions and procurement analysis
- 人类 resource records and staff affairs
- 监管 compliance and enforcement planning
- 班级ified intelligence and inter-agency communications
Intelligent 模式l 选择
NeuralOps根据任务复杂度和治理要求选择不同的已批准模型。
摘要
从冗长文档中生成简明简报。
Semantic 搜索
在数千份文档中查找相关上下文。
政策 推理
对政策影响和替代方案的深入分析。
翻译
多-language document processing.
风险 分析
识别财政、法律和运营风险。
文档 对比
交叉引用版本和变更影响。
The Right Layer for Every 任务
分离式系统
常规 tasks
72% 的请求Secure Local LLM
敏感AI任务
23% 的请求已批准 外部 AI
公共知识研究
5% 仅经净化处理安全 LLM 仪表盘
模拟 real-time monitoring of the 本地 LLM cluster.
Connecting 政府 Through
Trusted 智能
已授权 Executive AI Agents coordinate work across ministries and agencies through identity verification, role-based access, encrypted communication, complete 审计追踪s and human approval. 协作 remains 受治理的, accountable and within sovereign infrastructure.
How 跨机构 协作 差旅s Through 治理
数字化 管理层 Secretary for Every 已授权 领先er
准备 简报s
管理层 briefings, decision options, evidence summaries
请求 Information
向授权机构发送定向查询
日程 审核s
协调会议、议程、预读材料
监控 Deadlines
追踪 actions, escalations, follow-ups
整合
将机构回复合并为统一简报
决策 Options
当前 alternatives with evidence & risk
追踪 实施
监控 execution of approved decisions
Preserve 知识
具有完整上下文的机构记忆
安全 跨机构 政策 协作
多ple agencies collaborate on one policy. Only relevant sections are shared with each agency.
访问 levels per agency:
内阁 Paper: National 严重 AI 基础设施
The 部长 requests: "准备 a 内阁 paper on National 严重 AI 基础设施."
内阁 AI 协作 Room
模拟 real-time collaboration dashboard.
安全 闸门way for Sensitive 数据
所有机构间通信都通过加密通道进行。敏感文档保留在私有基础设施内。
Every 交互 Is 受管控
- 身份 verification 每次交换前，所有代理和用户都经过身份验证。
- 角色 validation 访问 scoped to authorised responsibilities only.
- 文档 classification 敏感级别决定共享规则。
- 审批 workflow 无需操作 without human sign-off.
- 审计 logging 完成 可追溯性 for every exchange.
- 人类 accountability 每项建议都引用人类决策者。
保存国家智慧
为子孙后代
Not document storage. A Living National 知识 知识库 that preserves the reasoning, evidence, discussions and lessons behind important government decisions.
政府s should not only preserve documents. They should preserve institutional wisdom.
Both the Final 决策 and the 决策 上下文
Every 阶段 Is 已关联 and 搜索able
未来领导者提问。系统作答。
使用授权的证据、上下文和机构推理。
A 搜索able 机构智能 网络
第2年035: A 新谜题 Director-一般 Begins 服务
Instead of reading through thousands of files, the 管理层 AI 智能体 provides a comprehensive institutional briefing.
管理层 AI 智能体 简报
- 政策 历史 & prior decisions
- 状态 & implementation progress
- 打开 issues & current risks
- 过去决策的经验教训
- 推荐 priorities
新谜题 leaders become productive immediately.
政策 Lifecycle: Select Any 年份 to 探索
- 3 policy proposals submitted
- 2 inter-agency consultations conducted
- 概念 approved for further study
- 技术 feasibility confirmed
- 预算 estimate: RM 12M over 5 years
- 2 technical risks identified
- PDPA amendment drafted
- Attorney 一般's 腔室s consultation completed
- 法律 framework approved
- 内阁 决策 CD-2029-047
- 一致批准
- 实施 timeline: 2030–2035
- 5 ministries integrated
- 本地 LLM cluster deployed
- 200+ officers trained
- 73% reduction in processing time
- 记录到RM 840万节省
- 91% officer satisfaction rate
- 47 lessons learned 已施加
- 政策 v2.0 dirangka menggunakan memori institusi
- 完整 decision context preserved for the future
National 知识 知识库
搜索 institutional memory across every policy cycle.
Every 知识 Item Is 受管控
交互式 演示nstration
安全 政府 智能
Simulasi langsung tentang cara 管理层 AI 智能体, 分离式系统, Secure Local LLM dan Institutional Memory beroperasi bersama dalam satu persekitaran terkawal.
建议 政策 - National AI 基础设施 战略
- 3 policy proposals submitted by MOSTI
- 2 inter-agency consultations conducted
- 概念 approved for further study
- 5 kementerian dirujuk
控制led 访问.
主权 控制.
安全 is embedded across identity, access, communication, processing and institutional records. Every interaction remains traceable, reviewable and subject to human governance.
我们如何构建
构建 机构智能
为子孙后代
AINNA NeuralOps presents a vision for how secure AI infrastructure, 受治理的 collaboration and institutional intelligence can help governments preserve national knowledge, strengthen policy continuity and protect sensitive information without compromising human leadership or public accountability.
机构智慧应得以保留。
请求 a confidential briefing
For authorised government agencies and institutional 合作伙伴. 架构, governance controls, and a controlled evaluation path under human authority throughout.
