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Shared on October 23, 2026

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[0:00] I hope it is visible. [0:03] The payment exception error resolution and creation of fixed asset using Juul today. [0:11] Firstly, for the first scenario, payment exception error resolution, we'll first go through what [0:19] it does, what is the AI functionality. [0:23] And then we can go into the system and show you how it looks like in the system. [0:29] There is a test system of Bunjang which has been provided to us. This was tagged to us by Titus. [0:35] So we'll see. [0:35] And as a supporting, I have also a word document that captures steps which we need to do to activate the first step. [1:16] and how it was created and how it was created. [1:26] You can continue. [1:28] Okay. So now we'll go through what is the functionality of error resolution. [1:34] So probably, I mean, if you're able to see my SIM, [1:39] there are these two key requisites to get this function activated. [1:44] One is that this revised payment proposals, analyze exceptions. [2:12] And for the IIM App assignment to maintain the business roles, [2:17] also I've given a link how you can assign that. [2:20] But don't worry too much, this is more for reference. [2:23] I'll also show you in the system how you can assign this app. [2:27] Okay. [2:29] We have two different options for the first capability. [2:34] The first option is to go to the IIM App. [2:38] Analyze Exception

The last information I want to give is that I’ll share the slides and Word document with you. You can go across. We cannot show this in the test system over here.

[2:42] - [3:03] - So now what do we mean by error resolution?

Just to touch base on the functionality before we go into the system. Whenever we create a payment proposal and any of the items goes into an exception, the screen shows an exception screen where the items have gone into an exception. In this case, the AI can help you analyze the root causes and propose recommendations on how to resolve the error. When the functionality is activated, the analyze exception icon appears in red, so you don’t have to go to any other app; it is embedded in the manage automatic payments. If the Analyze Exception button cannot be generated because the app is missing, you need to go to the Maintain Business Roles app to assign the app. If you go to the proposal screen exceptions, you’ll see this screen. By selecting the line item on the left‑hand side, ticking it, and clicking the exception analysis button, you get the log for that specific case directly—no need to check the log separately. It will show something like this where you have the resolution steps. The error is explained, the resolution steps are shown, and what you see in the bottom is the selected log, which is the log item generated from the payment run. The exceptions are grouped by error type—for example, error ID 003—with 21 exceptions displayed, allowing you to act faster on them. 이 화면에 보이시는 이제 selected log는 저희가 payment run을 돌리면 나오는 로그이고 AI가 지금 담당하는 부분은 위에 이제 resolution 부분을 담당을 해서 저희가 이제 cause랑 원인이랑 그리고 해결 방안 두 개를 같이 AI가 분석해서 제공을 해드리는 겁니다. 오케이.

Even if a user has the Accounts Payable Accountant role, the Analyze Exception app must be assigned to that role; otherwise the feature will not work.

So are we starting from scratch, like deleting this app and re‑assigning it?

이후 IAM 앱을 제거하고 다시 기능을 활용해 보았습니다.

The user is already logged in, and the system already fulfills the prerequisites for accessing the Manage Automatic Payments app.

In the previous system, logs only displayed the error; the resolution steps were not part of the log. With the AI feature, the resolution and step‑by‑step guidance are now included directly in the log view. It is not just a one‑liner – there are four steps that provide an end‑to‑end solution. This helps with future audit purposes, as the logs no longer disappear; they remain available for audit. Even if you correct the issue after several days, the resolution steps stay accessible, allowing you to revisit the step‑by‑step instructions.

이 화면에 보이시는 이제 selected log는 저희 payment run을 돌리면 나오는 로그이고 AI가 지금 담당하는 부분은 위에 이제 resolution 부분을 담당을 해서 저희가 이제 cause랑 원인이랑 그리고 해결 방안 두 개를 같이 AI가 분석해서 제공을 해드리는 겁니다. 오케이. 저희가 자동지급 관리 초기 화면에서 매개변수를 입력할 때 로그를 디테일하게 보겠다라는 걸 로그를 활성화하고 제안을 돌리고 나면 자동지급 관리 초기 화면에서 로그 보기라고 하는 버튼이 이미 있거든요. 여러 가지 단계별로 마스터 데이터부터 컨피규레이션까지 좀 상세하게 디테일에 대한 스테이프를 확인할 수 있도록 제공을 해드리고 있습니다.

혹시 기능 관련해서 또 질문하실 게 있으실까요? OK, Senji, now you help me with the Korean Coffment setup. 얘는 지금...

저희가 자동지급 관리 초기 화면에서 매개변수를 입력할 때 로그를 디테일하게 보겠다라는 걸 로그를 활성화하고 제안을 돌리고 나면 자동지급 관리 초기 화면에서 로그 보기라고 하는 버튼이 이미 있거든요.

[5:44] Okay. [5:45] So, in this example, which we see, there is an issue with the payment method T. [5:52] And so it tells you to ensure that the payment method T is assigned to the business partner. [5:59] Okay. [6:00] And then the customer vendor does not have the allowed bank details.

So what we are doing is that we are, this is just a checking step. Based on the information over there, I go to the vendor master data, see there is no payment method, no bank details maintained for that payment method TE. Okay. Then what we are doing is that we are just assigning this payment information, the bank key into the vendor master data. [6:52] When we rerun this item assigning this payment method T, we see over here, the payment is executed. [6:58] I mean, all these four steps is only just to see that you have applied the fix and then you have run the payment and then it moves out from the error since you have maintained. [6:59] So you are utilizing the AI information to.

This is a better example where no payment method is found in the vendor master data. In some cases, the log is not available because the system or the basis setup deletes or expires logs.

질문: 단계별 정보하고 지금 보여주시는 정보가 크게 달라 보이지는 않아서 어떤 부분이 차이가 나는지 여쭤본 거였어요. 과거에 보여준 예외 분석과 현재 AI가 제공한 예외 분석에 차이가 있나요? 현재 로그가 이전에 보여준 것과 AI가 분석한 것과 차이가 있는지 궁금합니다. 저희 그러면 아까 화면에서 저희 지금 페이먼트 런 돌리는 화면에서 매개변수를 켜고 돌리는 거에 대해서 혹시

단계별 정보하고 지금 보여주시는 정보가 크게 달라 보이지는 않아서 어떤 부분이 차이가 나는지 여쭤본 거였어요. 저희 그러면 아까 화면에서 저희 지금 페이먼트 런 돌리는 화면에서 매개변수를 켜고 돌리는 거에 대해서 혹시

[9:11] So what is the difference between having this AI feature from just having the information log because it also give us the detailed information on why this. [9:25] Yeah. [9:26] Error happened. [9:28] Yeah. [9:29] See, the information which you get as a log is much more, you know, it's very technical, might be very technical, and it's not very structured. [9:34] But from the AI error resolution, it is much more in a plain language, and it suggests the steps. [9:38] So it will supplement the information which you have there in a selected log, and it can give you, you know, certain things, certain identifiers which can help you with the...

[11:38] The logs will now be presented in sequence.

[13:24] So these are four major benefits. [13:25] So Vinit and Anand, I was actually discussing with customer the other functionality, not just the logs, [13:33] but they were asking there is other standard functionality that gives the detailed explanation on the exceptions. [13:39] So I was asking her which functionality she's specifically referring to.

[13:46] So I have to discuss first. Sorry. [13:49] Yeah. But you can explain these four points. They will understand. [13:52] Yeah. Just to summarize the four points engine, I think if you got it. [13:58] First of all, the log is for, you know, it's a complete log. [14:03] You have to find out the item for which in the log, which is very technical, right?

[30:30] resolution steps okay in a natural language first of all easy to use consume and secondly even if this resolution is they don't agree or they have doubts they can use this information to send it across to the support team okay so every organization has other business users will have a

So it gives you a complete instruction from looking at the master data to configuration and what you need to do step by step so that you can resolve the data. Yeah, understood. What we've given you is that our log is still missing. And we don't have to go technical and step by step.

이 기능은 별도의 추가 기능이 없으며, 매개변수를 사용하면 더 자세한 제안을 받을 수 있습니다.

When the AI feature is activated, an Analyze Exception button is created. Errors are grouped by error ID, line items are grouped and displayed, and clicking the Analyze Exception button provides a plain‑language explanation and suggested steps.

Note: The AI feature does not use Joule.

As of now, the AI feature is not available in standard SAP. SAP is exploring new agents, and the availability depends on customer demand. If many customers request this feature, SAP may proceed.

Clients who require this functionality can develop a custom solution themselves.

The discussion clarified that the client is only interested in the functionalities available in the base zone; no additional standard features are available beyond those. Custom applications can be built on top of the standard features if needed.

Vinit noted that the requirement is not supported in the base tool and also not available for premium AI use cases. We have not received any information from SFP that there is this capability where you can…

SAP offers two AI feature categories: Business AI and Jewel‑based AI. Business AI is the standard AI functionality integrated into the system, while Jewel‑based AI powers specialized capabilities such as Asset Accounting and Asset Master Creation.

What is the answer? I will ask you that. So if the user asks what asset class do we have in our system, then Jule will answer. What asset classes are there? I mean, we need to test. I mean, yeah, this can be probably a

What asset classes are there? I mean, we need to test. I mean, yeah, this can be probably a

Asset class 3000 is a public product; staff do not remember whether it is public or not.

When creating a fixed asset, the asset class is entirely chosen by the user. The AI cannot advise on the asset class you supply to Joule. For example, we are using asset class 181031310. Is this the correct one? Or it should be created under a separate asset class. That is, the accountant should know under which asset class he has to create. He might ask what asset classes are available in the system which they can consume, but the discretion to use the right one lies with the accountant. Because at the end of the day, these are all AI features which are there to assist you.

Generally, the assumption that people do not know the asset class is not correct. Those who create the asset typically know the asset class and the mandatory fields. It is a rare scenario where the asset class is unknown.

During the second session, the focus is on creating the fixed asset master record using Joule. The current version of Joule does not support generating acquisition journal entries; that step is outside the scope of this feature.

이런 시나리오가 있다고 가정해 보겠습니다. 구매오더에 첨부된 PDF 파일이 있을 수 있는데, 자산 구매를 진행할 때 해당 PDF에서 정보를 읽어 추출하고, 자산을 생성하기 전에 “이런 자산을 생성할까요?”와 같은 질문을 던지는 기능을 구현할 수 있습니다. 추출된 정보를 바탕으로 자산에 필요한 기본 정보를 파악하고, AI가 ‘이 자산을 생성할까요?’라는 질문에 답변을 제공한 뒤, 사용자가 승인하면 자동으로 자산을 생성합니다.

하지만 현재 버전의 Juul에서는 문서를 첨부할 수 없습니다.

점검하고 가능한 수준에서 고객사들에게 전달을 하려고 준비를 하고 있는데 일단 좀 잘 안 되는 것도 있고 이 자산을 텍스트로 생성하실 수 있습니다. 그러면 누가 이걸 자산을 텍스트로 생성해요? 그러면 그렇죠. 그럼 멈추거든요. 워낙에 들어가야 될 정보가 많은데 지금

먼저 선제안을 하고 그거에 대해서 사용자에게 인터랙션이 가능한 수준인지 확인해 보려 합니다. 현재 현업 부서에서는 텍스트로 입력해 자산을 생성하는 방식이 적용되는 사례가 없다고 판단됩니다. 따라서 이 기능이 실제로 사용 가능한지 검토가 필요합니다.

일단 D와 Q는 같은 계정이므로 접근이 가능했을 것으로 보인다. 현재 Generative AI(줄) 버전이 현재이며, 다음 버전이 예정되어 있다.

[46:16] 지금 버전은 첨부 파일 같은 액션이 지원되지 않으며, 단순 캡처 형태 이상의 기대는 하지 않는다. 이 부분에 대해 확인이 가능할지 모르겠으나, 다음 버전에서는 저희가 만약에 ...

줄워크와 줄 스튜디오가 Q4에 출시될 예정이며, 현재 버전에서는 해당 기능이 제공되지 않습니다. 향후 버전에서도 기능이 포함될지는 아직 확정되지 않았습니다. 추가 정보가 제공되는 대로 업데이트하겠습니다.

현재 줄 워크는 GA(General Availability) 단계에 있으며, 트라이얼 신청 시 알림을 제공하고 있습니다. 현재는 얼리 액세스 기준이 아니라, 요청을 통해 접근할 수 있는 개념입니다.

트라이얼이 열릴 때까지 기다리며, 노티파이 줄을 통해 이메일로 알림을 받을 예정입니다. 출시 관련해서는 예술파터님을 통해 별도 이메일이나 안내를 드릴 수 있도록 하겠습니다. 저희도 목배대로 기다리고 있습니다.

내부적으로 줄워크와 줄 스튜디오에 대한 사전 파악이 필요하다는 니즈가 존재합니다.

The user must have Asset Accounting master data access, be authorized to create master data, and have the appropriate business catalog assigned. The role should be granted in simple language.

To activate this functionality, the Jewel component must be enabled and the Fixed Asset Accounting scope items must be active.

In the current environment, the Jewel component is activated, allowing users to test the fixed asset creation feature. The Jewel icon is not displayed in the UI, but the component is enabled. If any errors occur during the process, detailed error information can be examined.

In this environment, the Jewel component is activated, allowing users to test the fixed asset creation feature. The Jewel icon is not displayed in the UI, but the component is enabled. If any errors occur during the process, detailed error information can be examined.

네 알겠습니다. 그러면 이 기능은 지금 활성화를 해서 쓰기가 좀 어렵다고 말씀 주시는 걸까요? 아니면 이대로라도 한번 계속 갈까요? 일단은 저희들도 한 번씩은 가용한 줄의 카파밀리티 내에서 가능한 것들을 계속 검증하지만.

프리레퀴즈로 가게 되면 줄이 활성화되어 있어야 합니다. 하지만 번개장터 테스트 환경에서는 줄이 활성화되지 않아 데모가 진행되지 않았습니다. Q 장기 환경에서는 줄이 활성화되어 있으며, 그때 번개장터 쪽에 Q가 트랜잭셔널이 되었습니다.

There is also an intelligent scenario lifestyle management feature in SAP that leverages statistical data from the database. This feature may be used for analysis exception or other small‑business AI functions.

화면 공유를 요청했습니다.

멀티랭귀지 지원이 예정되어 있으며, 한국어를 포함한 사용자 언어에 따라 UI와 문서가 현지화됩니다.

During the demo, we will only show the system in English, as Korean is not understood by the participants.

It will also support Indian languages when logged in as an Indian user.

[19:49] Scope item J60 accounts payable is activated. [19:56] Apps are available for users, and the user has authorization for the Manage Automatic Payments app. [20:05] The payment run is performed at this location.

[20:31] And then who would use this? Only the person who is running the payment would use this AI feature, right? Because it is created inside this manage automatic revised payment proposal app. So either you can go to the revised payment proposal app or manage automatic payments, which gives everything, parameters, proposal, payment, everything.

So here are the steps to assign the IAM app role. You go to this role in the Maintain Business Roles app and simply under the IAM apps, you can put this app and then click on the add icon over here. Once you see, this will be added. So I can skip this, right?

[22:26] Next is a message from the job log, whether open debit items. [22:34] Review the job log, navigate to the manage automatic, select the relevant proposal run and review the job log for detailed information. [22:45] Manage customer client items and manage supplier and identify open debit items associated with the effect accounts.

To clear a debit item, post necessary adjustments of payments to balance accounts and access the configuration.

There are debit items, which is why there is no credit balance to pay.

To clear a debit item, post necessary adjustments of payments to balance accounts and access the configuration.

There are debit items, which is why there is no credit balance to pay.

This is a base AI feature embedded in SAP, so no additional feature is required.

To clear a debit item, post necessary adjustments of payments to balance accounts and access the configuration.

There was a proposal created for the company that already had exceptions. The speaker noted that the proposal had 81 exceptions, and they accessed the exceptions tab and used the error ID grouping to analyze them.

[23:47] So that is why you don't see the system generated log, but nevertheless, the log message is over here. [23:52] And since there was no valid payment method, so it is giving the steps how you can resolve, check the vendor master data, go to the company code settings and check the payment method, open the manage payment method, insure that manage payment method app is that payment method is already active for the company code.

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Here the AI provides a step‑by‑step guide to verify the payment master data. It shows you the payment transaction tab, confirms that a valid payment method has been assigned, and then directs you to check configuration settings to ensure the payment method is applicable for the relevant country and company code.

[28:01] Automatic payment program is the most complex program, involving master data, transaction data, configuration, and the actual payment execution. The complexity means that the AI feature must consider many factors to provide possible resolutions.

[25:27] 지급을 해야 되는 상황인데 대변 금액이 아니라 차단 금액이 있어서 에러가 나는 거거든요. [25:36] 그런데 지금 아날리시스 분석에서 제공해주는 가이드는 설정부터 다 이야기를 해주고 있어서 사실은 올바른 가이드라고 보여지지는 않아요. [25:50] 아 네네. 그래서 그런 부분들이 조금 그리고 말씀 주신 이 화면에서도 제가 아까 말씀드렸던 화면을 볼 수 있거든요. [25:59] 네네. 지금 지급 제한 수정으로 들어가서 지급 제한 수정 말고 처음 화면에서 네. 여기 바깥의 화면이 처음 자동 지급 화면에서

이거는 리솔루션을 주는 내용 자체가 조금 맞지 않은 가이드인 것 같다고 말씀드리는 거고 그다음에 제가 처음에 여쭤봤던 거 보여줄 수 있냐고 여쭤보셨잖아요. 그게 이 화면 닫기를 누르고 처음 화면에 가면 나오거든요. 잠시만요.

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Because the AI-generated answer is not always 100% accurate, the system will automatically refine its resolution suggestions for recurring issues, but the resolution is not guaranteed to be 100% correct.

The AI-generated resolution can also provide context to the support team, helping them understand the issue and the suggested steps. However, as Vinit noted, the AI’s suggestions are indicative, based on the system’s assessment of error logs, and may not be definitive.

In addition, the AI feature is designed to streamline the payment cycle by presenting resolution data in a single integrated view, reducing the time required to address exceptions. This acceleration can prevent delayed payments that may incur interest and other charges, thereby protecting the company’s cost structure.

오케이 오케이 이해했습니다. AI를 활용하는 기능이라 답변이 완전히 정확할 수 없음을 먼저 말씀드립니다. 이 기능을 활용함으로써 자동지급 관련 컴픽을 한 화면에서 확인하고, 마스터 데이터와 컴픽까지 한 번에 볼 수 있어 빠르게 해결할 수 있습니다. 감사합니다.

이 기능은 통합된 화면에서 확인할 수 있으며, 기술 배경이 없는 사용자도 쉽게 접근할 수 있습니다. 필요 시 AI가 제공한 해결 단계와 로그를 복사해 서포트 IT팀에 전달하면 업무 처리를 더욱 신속하게 진행할 수 있습니다.

AI 기능은 줄(라인) 없이도 동작합니다. 백그라운드에서 AI가 자동으로 예외를 분석하고 해결 단계를 제시합니다.

Speaker asked about the accuracy of the AI-generated solution and received confirmation that it is not guaranteed to be 100% accurate.

The speaker confirmed that Korean language is available and will switch back to English for the remaining steps.

[33:34] Down, yes. [33:35] This one, which I'm pointing? [33:38] No, the shortest one. [33:45] This one? [33:45] One, two, three, no. [33:48] Down three steps, two steps, one step, one step more. [33:53] Yeah, that's all. [33:55] Click it and save it.

In any case, I’ll share with you this documentation.

[38:09] 다 이해가 되셨을 것 같은데 혹시 질문 있으실까요? [38:15] 아니면 두 번째 걸로 넘어갈까요? [38:18] 한 가지만 좀 확인하고 싶은 게 [38:20] 저희가 이번 번개장터 때 개발 서버에는 줄을 붙이지 않았어요. [38:26] 그래가지고 줄이 안 나올 텐데 [38:28] 거기에서도 지금 기능을 활용하는데 답변은

[41:19] or to Juru. [41:21] If they want to use this functionality, just fulfill the prerequisites, which we see over here. [41:28] OK, assigning the IIM app and getting the-- [41:33] if the scope item is activated, it would be enabled. [41:38] OK, I assume that this is based on the--

Any other thing? This is AI‑assisted analysis feature, that's all. As it is all. I can say that you can use the AI‑assisted analysis feature in the ISLM app. Okay, so first of all, I'll just say that AI is not a total of the total value of the AI.

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이 거를 저희가 이제 고객에 대해 이게 줄의 기능이다라고 하면 줄에 대한 실망만 더 하실 거예요. 그래서 저희는 다음 버전을 좀 기대를 하고 있는데 그 다음 버전은 그런 식의 기능들이 좀 구현이 될 가능성이 있는지 같은 거를 이분들이 아실지 모르겠는데 그거 답변이 가능하실까요?

근데 제가 아는 대로 조금 더 첨언을 드리면 말씀 주셨던 다큐먼트를 올리고 데이터를 추출하는 건 사실 저희 SAP 쪽에서 지금 다큐먼트 AI로 분류가 되어 있잖아요. 그거를 이제 다음 버전의 줄이 나왔을 때 커머셜을 어떻게 가져갈지에 따라서

저희 시간이 살짝 지나가지고 거기까지 말씀드리고 끝내려고 합니다. 혹시 질문 있으시면 질문해 주시면 될 것 같습니다.

네 여기까지면 괜찮을 것 같습니다.

Thank you for your session. Thank you for your time. Thank you, Soap. We will schedule another set of sessions for the remaining use cases.

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