End-to-end SAP services for global enterprises — operations, consulting, custom development, and proprietary AI middleware. Covering ECC through S/4HANA, production-grade throughout. 面向全球企业的端到端 SAP 服务 —— 运维、咨询、定制开发，以及自主研发的 AI 中间件产品。覆盖 ECC 至 S/4HANA，全程生产级落地。
End-to-end SAP engagements across ECC and S/4HANA — implementation, rollout, operations, performance optimization, security & compliance, custom development. Full-module coverage: FI, CO, MM, SD, PP, PS, etc. 覆盖 ECC 与 S/4HANA 的端到端 SAP 服务 —— 实施、Rollout、运维、性能优化、安全合规、定制开发。全模块覆盖：FI、CO、MM、SD、PP、PS 等。
Our proprietary middleware product connecting large language models and local machine learning to on-premise SAP. Multi-layer architecture designed for determinism, auditability, and production-grade reliability. 自主研发的 AI 中间件产品，连接本地部署 SAP 与大语言模型、机器学习模型。多层架构设计，保证确定性、可审计性与生产级稳定性。
An AI-assisted ABAP development platform. Accelerates custom program delivery through code generation, refactoring, intelligent review, and legacy code comprehension — purpose-built for SAP ECC and S/4HANA engineering teams. AI 辅助的 ABAP 开发平台。通过代码生成、重构、智能审查与历史代码理解，加速定制程序交付 —— 专为 SAP ECC 与 S/4HANA 开发团队打造。
HRK engagements are delivered by the same small team from discovery through production go-live. We don't scale through junior consultants — we scale through deep expertise, reusable product assets, and disciplined methodology. HRK 的项目从需求对齐到生产上线，都由同一支精干团队贯穿执行。我们不靠初级顾问堆人头来扩展 —— 我们依靠深度经验、可复用的产品资产和成熟的方法论。
Led by senior practitioners with two decades across SAP FI/CO/MM/SD/PP/PS etc. and ABAP. Responsible for client engagement strategy, overall solution architecture, and the boundary between deterministic logic and machine learning. 由深耕 SAP FI/CO/MM/SD/PP/PS 等模块与 ABAP 二十余年的资深从业者领衔。负责客户战略、整体方案架构，以及确定性逻辑与机器学习的职责边界。
Handles all SAP-side engineering: RFC/BAPI interfaces, IDoc processing, custom cockpits, ABAP-native rule programs. Owns everything that runs inside SAP. 负责所有 SAP 侧的工程实现：RFC/BAPI 接口、IDoc 处理、定制驾驶舱、ABAP 原生规则程序。承担一切运行在 SAP 内部的开发工作。
Owns the AI layer: LLM orchestration (Claude-first), local ML pipelines (scikit-learn, Prophet), anomaly detection, and knowledge distillation from large models to lightweight specialized ones. 负责 AI 层：LLM 编排（首选 Claude）、本地 ML 流水线（scikit-learn、Prophet）、异常检测，以及从大模型向小型专用模型的知识蒸馏。
A production-grade AI middleware layer between your SAP ECC / S/4HANA and modern AI — large language models, local machine learning, and deterministic rules working together with audit, throttling, and rollback built in. 一款生产级的 AI 中间件，位于你的 SAP ECC / S/4HANA 与现代 AI 之间 —— 大语言模型、本地机器学习、确定性规则协同工作，审计、限流、回滚能力内置。
A layered architecture keeps the LLM out of decisions it shouldn't make, keeps deterministic rules out of SAP's critical path, and keeps every write-back to SAP auditable. 分层架构的意义：让 LLM 不参与它不该参与的决策、让确定性规则不阻塞 SAP 的关键路径、让每一次回写 SAP 都可审计。
Handles ambiguous, narrative, cross-context questions. Variance root-cause analysis, natural-language reporting, configuration recommendations. Never writes to SAP directly — only proposes. 处理模糊、叙事、跨上下文的问题：差异根因分析、自然语言报表、配置建议。永远不直接写 SAP，只产出建议。
Receives every event from SAP. Decides: deterministic rule? local ML? escalate to LLM? Throttles noisy signals, batches redundant ones, prioritizes financially material events. 接收来自 SAP 的所有事件，判断：走确定性规则、还是本地 ML、还是上报 LLM？对噪声限流、对冗余合并、对财务重大事件优先处理。
Anomaly detection (Isolation Forest), time-series forecasting (Prophet), rule-based validation. Runs on-premise. Sub-second response. Never touches cloud. This is where the majority of decisions terminate. 异常检测（Isolation Forest）、时序预测（Prophet）、规则校验。本地运行、亚秒响应、全程不出公网。大多数决策在这一层就终止了。
The SAP system itself — ECC or S/4HANA. Emits events via change documents, application logs, BTE exits. Accepts commands via RFC, BAPI, IDoc. SAP 系统本身 —— ECC 或 S/4HANA。通过变更凭证、应用日志、BTE 出口向外发出事件；通过 RFC、BAPI、IDoc 接收指令。
| SAP Platform SAP 平台 | RFC / BAPI | IDoc | OData | BTE | Notes 说明 |
|---|---|---|---|---|---|
| SAP ECC 5.0 | ✓ | ✓ | — | ✓ | Legacy, limited OData 旧版，OData 受限 |
| SAP ECC 6.0 (EhP 5 – 8) | ✓ | ✓ | ✓ | ✓ | Most common target 最常见的客户环境 |
| S/4HANA 1610 – 1909 | ✓ | ✓ | ✓ | ✓ | Both on-prem and PCE 本地与 PCE 均支持 |
| S/4HANA 2020 – 2023 | ✓ | ✓ | ✓ | ✓ | Full CDS & Fiori integration 完整支持 CDS 与 Fiori |
| S/4HANA Cloud (Public) | — | — | ✓ | — | OData only. Out of core focus. 仅支持 OData，非核心支持。 |
A secure, governed AI development channel for SAP ECC and S/4HANA. Every AI interaction goes through an audited API pipeline — no more developers pasting source code into ChatGPT. 面向 SAP ECC 与 S/4HANA 的安全、受控的 AI 开发通道。每一次 AI 交互都走可审计的 API 管道 —— 不再有开发者把源码粘贴到 ChatGPT。
The workflow is already happening — in every SAP shop, every day: copy ABAP source from SE38 → paste into ChatGPT or similar → accept AI-modified code → paste back into SAP. Zero audit trail. Zero policy enforcement. Potentially sensitive data leaked.
这个流程正在每一家 SAP 客户、每一天都在发生：从 SE38 复制 ABAP 源码 → 粘贴到 ChatGPT 或类似工具 → 直接采用 AI 改后的代码 → 粘贴回 SAP。零审计、零策略管控、可能泄露敏感数据。
Hardcoded passwords, RFC connection credentials, API keys — anything embedded in the source — leaves your enterprise perimeter the moment the developer hits Ctrl+V. Your IT security team has no visibility. Your auditors cannot answer the question "what left our network?"
硬编码的密码、RFC 连接凭证、API Key —— 任何嵌入在源码中的信息 —— 在开发者按下 Ctrl+V 的那一刻就离开了企业边界。IT 安全团队看不见任何操作，审计师无法回答"哪些数据离开了我们的网络"这个问题。
Banning AI is not the answer. Developers will find a way. The answer is to give them a governed channel — one where every AI interaction is auditable, every code change is backed up, every sensitive table is policy-controlled, and nothing ever leaves SAP unsupervised.
禁用 AI 不是答案 —— 开发者总能找到办法。答案是给他们一条受控通道：每一次 AI 交互都可审计、每一次代码变更都有备份、每一张敏感表都在策略保护下、任何东西都不会在无监督的情况下离开 SAP。
AI inside SAP, not alongside it. ABAP-AI autonomously explores the system, proposes changes through governed APIs, and verifies that changes took effect. Every action is logged; every write is policy-gated. AI 在 SAP 内部运作，而不是隔着边界。ABAP-AI 自主探索系统、通过受控 API 提交修改、并验证修改已生效。每一个动作都被记录、每一次写操作都受策略守护。
AI autonomously explores the SAP system: reads source code, queries DDIC metadata and table structures, traces call chains and cross-module dependencies, auto-generates plain-language business logic summaries. AI 自主探索 SAP 系统：读取源码、查询 DDIC 元数据与表结构、追踪调用链与跨模块依赖关系、自动生成通俗业务逻辑说明。
Based on deep system understanding, AI proposes modifications. Changes deploy via secure SAP APIs with automatic backup and syntax validation. Policy engine gates every write — sensitive tables default to DENY. 基于对系统的深度理解，AI 协助生成修改方案。通过 SAP 安全 API 部署，自动备份、语法校验同步执行。策略引擎把守每一次写入 —— 敏感表默认 DENY。
Post-change, AI queries backend metadata to confirm modifications took effect. Cross-validates runtime state. Ensures system stability before signing off. Full audit trail preserved for every step. 变更后，AI 查询后端元数据确认修改已正确生效，交叉验证运行时状态，确保系统稳定性，才算完成。全链路审计轨迹全程保留。
| Dimension 安全维度 | Shadow AI (ChatGPT paste) 影子 AI（粘贴 ChatGPT） | ABAP-AI (governed channel) ABAP-AI（受控通道） |
|---|---|---|
| Sensitive data敏感数据
Passwords, keys, RFC creds 密码、Key、RFC 凭证 |
⚠ Pasted into external tools along with code ⚠ 连同代码被粘贴到外部 | ✓ Flows only through governed APIs, stays inside ✓ 仅通过受控 API 在系统内流转 |
| Audit trail审计追踪 | ⚠ Zero records · invisible to IT ⚠ 零记录，IT 完全不可见 | ✓ Full operation log · every step traceable ✓ 完整操作日志，每步可追溯 |
| Code quality代码质量 | ⚠ AI code pasted · no review · no checks ⚠ AI 代码直接粘贴，无 Review、无检查 | ✓ Auto syntax check & code backup ✓ 自动语法检查 + 代码备份 |
| Version safety版本安全 | ⚠ Manual overwrite · no rollback ⚠ 手动覆盖，无法回滚 | ✓ Timestamped backups · rollback supported ✓ 带时间戳备份，支持回滚 |
| Compliance合规要求 | ⚠ Violates security policy · ungovernable ⚠ 违反安全政策，无法管控 | ✓ Formal API path · meets IT governance ✓ 走正式 API 通道，符合 IT 治理要求 |
API data not used for model training · Full TLS encryption · DPA available on request API 数据不用于模型训练 · 全程 TLS 加密 · 可签署 DPA
Understand a 15-year-old Z program in 30 seconds. Auto-generated business logic summary with table references and call chain. 30 秒理解一支运行了 15 年的 Z 程序。自动生成业务逻辑说明，含表引用与调用链。
Know in 3 minutes which programs are affected by changing a single field. Complete dependency graph output. 3 分钟知道改一个字段会影响哪些程序，输出完整依赖关系图。
Generate complete technical docs for undocumented legacy programs in 2 minutes — including data flow and call relationships. 2 分钟为无文档的老程序生成完整技术文档，含数据流和调用关系。
Auto-identify incompatible code against the Simplification List. Output tiered risk reports at scale. 基于简化列表自动识别不兼容代码，输出分级风险评估报告。
New consultants understand the system on day one. AI serves as an always-available mentor for the codebase. 新顾问第一天就能理解整个系统实现，AI 作为随时可问的导师。
Lower reliance on expensive external ABAP consultants. Accelerate team delivery. Preserve tribal knowledge against turnover. 降低对外部资深 ABAP 顾问的依赖，提升团队整体交付速度，抵御人员流动带来的知识流失。
| Task 任务 | Traditional approach 传统方式 | ABAP-AI ABAP-AI |
|---|---|---|
| Understand a legacy program理解一支遗留程序 | 1–2 days1–2 天 | 30 seconds |
| Change impact analysis变更影响分析 | 1–2 days1–2 天 | 3 minutes |
| Generate technical documentation生成技术文档 | 1–2 days1–2 天 | 2 minutes |
| S/4HANA compatibility assessmentS/4HANA 兼容性评估 | Weeks数周 | Batch auto-analysis批量自动分析 |
| New consultant system ramp新人理解系统 | 1–3 months1–3 个月 | Day one第一天 |
| Development environment 开发环境 | Interactive 交互使用 | Automation 自动化 | Notes 说明 |
|---|---|---|---|
| Claude Code CLI | ✓ | ✓ | First-class support · scripting & CI/CD friendly 一等公民支持 · 适合脚本与 CI/CD |
| Claude Desktop App | ✓ | — | For analysts & consultants 面向分析师与顾问 |
| VS Code plugin | ✓ | ✓ | Inline with modern dev workflow 嵌入现代开发流 |
| JetBrains plugin | ✓ | ✓ | IntelliJ / WebStorm / PyCharm IntelliJ / WebStorm / PyCharm |
SAP backend requirement: NetWeaver 7.31+ or S/4HANA SAP 后端要求：NetWeaver 7.31+ 或 S/4HANA