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# Introduction
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AI agent for pre-implementation research that suggests solutions after verifying against your unique system configuration.
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SAP Research Agent is built for pre-implementation research that suggests solutions after verifying against your unique system configuration.
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This means:
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Check out the [free and open version](https://research.getadri.ai) where the results are validated against the 18 million standard objects in ECC 6.0 EHP 7 and 27 million standard objects in S/4HANA 2023.
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## Connected systems
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If you are on Adri AI's Enterprise Plan, you can connect SAP Research Agent to your SAP environment to enable system-aware recommendations.
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You can also check out the [free and open version](https://research.getadri.ai) where the results are validated against the 18 million standard objects in ECC 6.0 EHP 7 and 27 million standard objects in S/4HANA 2023.
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### Installed Components
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You can view the installed components in the attached ERP system.
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import useBaseUrl from '@docusaurus/useBaseUrl';
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<figure style={{ textAlign: 'center' }}>
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<img src={useBaseUrl('/img/installed.png')} alt="Installed Components in ECC 6.0 EHP 7 system" />
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<figcaption>Installed Components in ECC 6.0 EHP 7 system</figcaption>
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</figure>
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You may search the components in the attached system using the SAP Research Agent or by writing SQL-like queries (using ChromaSQL). More on ChromaSQL [here](search-index.mdx).
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## Key Use Cases
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### 1. Check Configuration Options
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1. **Check Configuration Options**
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Find standard SAP capabilities that will satisfy your requirement, thus avoiding unnecessary custom code development
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```bash title="Sample prompt from a question asked in SAP Community"
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I want to implement the requirement shared below in the SAP ECC 6.0 EHP 7 system. Does the implementation require the creation of custom objects?
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2. **Write Functional and Technical Specification Documents**
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- My goal is to minimize custom development as much as possible by using standard objects, wherever possible.
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- Do not use the objects in the $TMP package
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## Requirement
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Create comprehensive functional and technical specifications for configuration changes and custom code.
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`Update Positive Pay File with BofA to include Vendor name to prevent check fraud`
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```
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3. **Find SAP Objects**
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### 2. Write Functional and Technical Specification Documents
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Instantly locate relevant objects from your ERP system. Search across programs, function modules, tables, data elements, and more with results filtered to your system's active components.
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Create comprehensive functional and technical specifications for configuration changes and custom code.
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## How does SAP Research Agent work?
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```bash title="Sample prompt"
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Create a functional specification for my Change Request. Fill in the template shared below as applicable. If a heading or subheading is not relevant for this Change Request, drop it from your output.
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### Core Architecture
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Do not include requirement IDs, codes, or reference numbers.
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- **AI Backend**: SAP Research Agent uses over 40+ Large Language Models with specialized configuration for SAP research tasks. More details [here](https://getadriai.github.io/code-agent-docs/faqs#which-models-are-being-used)
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- **Vector Database**: The attached ERP system has been indexed into a ChromaDB vector database. It contains 18 million standard objects of ECC 6.0 EHP 7 and 27 million standard objects of S/4HANA 2023 like:
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## Change Request
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- Transaction codes, programs, classes
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- Tables, views, data elements
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- BAdIs, enhancements, function modules
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- Menu paths, documentation, and more
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SAP-to-JPMorgan Chase Payment Automation
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### Which models are being used?
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The current SAP payment process to JPMorgan Chase requires extensive manual intervention including
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SAP Research Agent uses a combination of:
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- manual execution of F110 payment runs,
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- physical printing and signing of payment approval documents,
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- manual generation and transmission of payment files via Z-code,
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- manual download and processing of bank statements and receipts, and
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- manual reconciliation of payment statuses in SAP.
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- Internally fine-tuned models
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- Public frontier models
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This results in:
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Depending on the subtask, an appropriate combination of models is chosen dynamically.
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- processing delays of several hours to days per payment batch,
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- high error rates in manual file generation and data entry,
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- limited visibility into real-time payment status,
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- compliance risks due to incomplete audit trails, and
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- significant resource inefficiency with the Finance team spending 15-20 hours per week on repetitive manual tasks that could be automated.
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| Model Provider | No. of models used |
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| -------------- | ------------------ |
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| Adri AI | 4 |
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| Google | 9 |
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| Mistral | 6 |
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| Meta | 8 |
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| OpenAI | 7 |
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| Anthropic | 4 |
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| Cohere | 4 |
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| Total | 42 |
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## Template
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Note: Counts are as of November 2025
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1. Executive Summary
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1.1 Business Context
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1.2 Objectives
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1.3 Scope
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### Key Capabilities
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2. Current State Analysis
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2.1 As-Is Process Flow
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2.2 Pain Points & Quantified Impacts
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2.3 Current System Landscape [if complex integrations]
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1. **System Validation**
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3. Future State Solution
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3.1 Solution Overview
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3.2 To-Be Process Flow
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3.3 Key Changes Summary
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SAP Research Agent queries the attached SAP system by writing ChromaSQL queries. ChromaSQL is a SQL-inspired domain specific language created by Adri AI.
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4. Functional Requirements
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4.1 Process Requirements (by business process)
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4.2 Data Requirements (Master Data, Transaction Data, Configuration)
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4.3 Business Rules & Validation Logic
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2. **Web Search**
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5. Integration & Interface Requirements
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5.1 Integration Architecture
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5.2 Interface Specifications (per system)
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5.3 Data Mapping
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SAP Research Agent also has the capability to search the internet for SAP solutions, best practices, and similar use cases.
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6. User Experience Requirements
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6.1 User Interfaces (Screens/Forms/Dashboards)
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6.2 Reports & Analytics
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6.3 Workflow & Approvals
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3. **Document Processing**
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7. Non-Functional Requirements
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7.1 Performance & Scalability
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7.2 Security & Access Control
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7.3 Compliance & Audit
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7.4 Usability & Accessibility
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SAP Research Agent can read the uploaded attachments and optionally index them for future reference.
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```
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### Typical Workflow
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### 3. Find SAP Objects
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1. User asks a research question (text + optional attachments)
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2. Depending on the question, the SAP Research Agent may think of a solution from its own knowledge base or search the web for relevant resources.
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3. The solution is then validated against your SAP system's capabilities using the vector database.
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4. The agent creates detailed implementation plans with specific T-codes, ABAP objects, and configuration steps.
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5. The agent provides alternatives and visual diagrams when helpful.
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Instantly locate relevant objects from your ERP system. Search across programs, function modules, tables, data elements, and more with results filtered to your system's active components.
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## Connected systems
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```bash title="Sample prompt from a question asked in SAP Community"
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I created an internal IHC bank statement using transaction F9N7 (Single Run).
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If you are on Adri AI's Enterprise Plan, you can connect SAP Research Agent to your SAP environment to enable system-aware recommendations.
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When I attempted to post this statement using transaction FEBP, the posting did not execute. FEBP is the transaction we normally use to post internal IHC bank statements created via F9N1 (Mass Run).
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You can also check out the [free and open version](https://research.getadri.ai) where the results are validated against the 18 million standard objects in ECC 6.0 EHP 7 and 27 million standard objects in S/4HANA 2023.
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Which transaction should I use to post bank statements created with F9N7 (Single Run)?
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```
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### Installed Components
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## How does SAP Research Agent work?
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You can view the installed components in the attached ERP system.
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When you ask Adri AI's Research Agent to perform any kind of research, you'll notice that it does one or all of the following activities:
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import useBaseUrl from '@docusaurus/useBaseUrl';
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- Searching data in the attached system (say, ECC 6.0 EHP 7)
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- Searching web
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<figure style={{ textAlign: 'center' }}>
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<img src={useBaseUrl('/img/installed.png')} alt="Installed Components in ECC 6.0 EHP 7 system" />
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<figcaption>Installed Components in ECC 6.0 EHP 7 system</figcaption>
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</figure>
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In order to search data in the attached system, the agent writes SQL-like queries. To be specific, these queries are written in ChromaSQL, a SQL-inspired domain specific language to query ChromaDB vector database. ChromaSQL has been created by the team at Adri AI.
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You may search the components in the attached system using the SAP Research Agent or by writing SQL-like queries (using ChromaSQL). More on ChromaSQL [here](search-index.mdx).
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You may search the components in the attached system by creating or writing your own ChromaSQL queries. Learn more [here](search-index.mdx).
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:::info
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Have any other questions? Check our [FAQs](../faqs.md).
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:::

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