AI Features Guide Price List

Intelligent Q&A is a tool that can quickly help you find precise answers to work-related questions. You can ask your question in a natural language, and get an AI-generated response that is provided in a natural language, with the sources from which the SAP CX AI Toolkit assembled the data. Intelligent Q&A relies on several connected data sources to be able to generate AI answers to your questions. The content of AI answers is gathered from sources such as e-mails, recorded meetings, etc. Intelligent Q&A works on a single question and single answer method, where the questions and answers aren't based on conversation thread. No personal data is stored in the model, including your Microsoft or SAP CX data, and personal information is always removed for data privacy and protection.

When you select an account, the system pulls all the open opportunities and service cases related to the account. If needed, you can choose to include a summary of a selected opportunity and case. The generated summary is written in natural language, and you can set its length.

Schedule, quickly and easily, a meeting with a customer, by providing them with several time options to choose from. Using Smart Scheduling, you can create a scheduling request. You select different meeting times to send to your customer, set the meeting's name, duration, location, and add a description if needed. Then, AI will write a personalized meeting request including your availability that you can share with your customers.

The AI tools in the SAP CX AI Toolkit offer several simple, role-specific workflows, to unite the CRM and email data silos. They also address specific use cases that leverage Generative AI Tools to save you hours of time, making sales, service, and commerce roles more effective.

As an administrator, you can use the AI Tools Builder to validate prompts that are grounded in SAP Customer Experience data and create custom AI tools that are best suited for your business needs.

The Product Attributes tool enables you to generate new attributes and values for existing attributes of items and objects that are in a certain catalog. The attributes that you can find in SAP CX AI Toolkit are ingested directly from SAP Commerce Cloud. The Product Attributes tool recommends new attributes and attributes' values, based on the image and its description. These two factors enable business administrators, who use images as a source, to discover the attributes associated with the images they upload.

Generate descriptions for your commerce cloud product in singular or bulk mode. The SAP CX AI Toolkit Product AI Descriptions tool allows you to create personalized descriptions based on your commerce cloud product attributes, existing descriptions, and personal instructions. The product descriptions can be quickly published back to commerce cloud for your customers to view on your storefront.

Get an overview of your emails with customers, and a quick access to their cases and questions. The Smart Actions of the SAP CX AI Toolkit, represent insights and action items that are pulled from your email and meetings. It offers you a quick access to your last email with your customers, by summarizing it and providing its description. The Smart Actions also show you your customer's questions, and you can trigger an AI generated answer based on the data sources and files that you have on your OneDrive. Additionally, it provides you with links to the data sources that the answers were pulled from. This tool offers you a set of actions for each question, like copying, viewing the answer, dismissing the question, and enables you to schedule a follow-up meeting, if needed.

Generate new product images or enhance existing ones. The Product Images tool provides AI-driven capabilities for creating and editing product images, enhancing the visual appeal of commerce listings. This tool is designed to meet the growing demand for high-quality product images in the commerce industry by offering a cost-effective and efficient alternative to traditional photography and image-editing processes. It enhances the commerce platform's value proposition by providing user-friendly tools for creating images of professional quality. Using AI technology, the Product Images tool helps you to automate image generation and editing. It has access to the products in your Commerce system and retrieves all existing images. Based on your products, you can select and filter existing product images for editing or you can generate new ones in the Product Images tool. This tool is only available for users who have an SAP Commerce Cloud license.

Summarize all the information related to an account that helps the sales representatives, such as the business, the culture or the competitive landscape. Capture and present the account’s business strategies and be better prepared and targeted for a sales pitch.

Service agents can leverage the feature that performs a check, comparing the configured fields with the list of existing accounts within the system. As an administrator, they can configure the duplicate check for accounts. Once configured, any new account that is created is checked against the configured fields and the result displays a list of the existing accounts with a confidence score, which enables service agents to take a decision whether or not to proceed with the account creation.

Generate case summary from all the inbound and outbound interactions between the customer and service agent in a case and display the interaction summary to avoid scrolling through every interaction.

This feature provides to service teams a summary of the registered products and summary for cases created for that registered product in the last three months. A registered product summary consists of an overview and aggregated cases summary. An overview is a summary of when the product was registered, the type of warranty, the warranty coverage, and the location of the product is provided. An aggregated cases summary provides consolidated insights of all cases registered in the last three months, their status, the SLA for cases, and so on. It also provides a quick information of the acumen of the cases in the last three months.

Contact center agents can leverage this feature to automatically identify and extract relevant ID patterns (e.g., product IDs, serial numbers) from documents like emails, converting unstructured text into structured data for support processes. The feature automatically extracts entity IDs and identify customer issues and complaints details. It also helps provide more personalized assistance to the customers and correct identification of case details that results in faster resolution of customer queries.

Generate an e-mail or a response email based on the previous e-mail reply and purpose selected by the user for which an e-mail needs to be drafted, thus streamlining the service and support process making it easier for service agents to focus on processing of cases.

The AI-assisted Product Finder helps marketers quickly find and insert the right products into their email campaigns. Powered by GenAI, it supports keyword and natural language search, enabling intuitive exploration of product catalogs without needing to scroll or filter manually. The tool also automates the mapping of product catalog fields to email content blocks, removing the need for setup by Services teams. This empowers marketers to work faster, with more flexibility, and focus on crafting compelling campaigns instead of handling technical configurations.

Generates tailored information that enhances sales team’s understanding of the account’s needs and increases the likelihood of successful sales conversion.

This feature provides insights such as survey summary, survey recommendations, and survey differences, by analyzing past completed surveys form previous visits to the account (currently applicable to checklist surveys only). The sales representatives can use these insights for their upcoming visits and enhance their interactions with customers.

Generate tailored information that enhances the sales team’s understanding of an account’s needs and increases the likelihood of successful sales conversion. Provide information that is specific to the products that are most likely to be of interest to the account. Deliver up-to-date, relevant, and targeted content only.

Generate a response e-mail in case or opportunity based on the previous e-mail replies and purpose selected by the user for which an e-mail needs to be drafted.

Sales agents can leverage the feature that performs a check, comparing the configured fields with the list of existing accounts within the system. As an administrator, they can configure the duplicate check for accounts. Once configured, any new account that is created is checked against the configured fields and the result displays a list of the existing accounts with a confidence score, which enables sales agents to take a decision whether or not to proceed with the account creation.

Sales managers can leverage the AI-assisted sales order summary to get insights about changes in product pricing from the original price (whether the price has increased or decreased and by what percentage), on-time delivery of the products (whether the products are scheduled for on-time delivery or if delivery is delayed), the number of free products based on the pricing arrangement, or products within the order are substituted with an alternative product.

As an administrator, create a quote creation agent to automate quote generation in SAP Cloud for Customer by monitoring a Microsoft Office 365 (Shared Mailbox).

This agent analyzes new tickets or cases in SAP Cloud for Customer or SAP Sales and Service Cloud Version 2 and creates a Knowledge Base Article (KBA) that is published back to the source ticket or case.

This agent analyzes new customer service tickets, or cases, and classifies them based on company business requirements.

This agent can autonomously process natural language questions, identify intent, and deliver accurate responses. The agent allows administrators to define particular questions that are answered using existing custom data sources, tickets, or cases.

Generate ad hoc reports for detailed carbon data analysis without the need for dedicated reporting stories in SAP Analytics Cloud. If financial data from SAP S/4HANA is also available, it can be integrated for comparison with carbon data, helping to create intensity KPIs for a comprehensive view of financial and environmental performance.

Manufacturers of complex products often receive end-customer quote and proposal requests (RFQ/RFP) in an unstructured format (e-mail, Word file, etc.). These require manual effort- and time-requiring request processing in order to prepare fitting product configurations and ultimately sales quotations. SAP Intelligent Product Recommendation (SAP IPR) analyzes end-customer request RFPs/RFQs, given in an unstructured format, and extracts the product-relevant requirements. Based on the extracted product requirements SAP IPR recommends several product configurations fitting end-customer needs best. The sales representative can then make the decision which configuration to include into sales quotation and finetunes it, if needed. This minimizes human data entry effort to prepare product configurations and leaves the “smart” work on sales representatives thus reducing time on sales quotes completion dramatically.

Explains how depreciation keys operate and the rationale behind the system's depreciation calculations in a user-friendly and easy-to-understand natural language for business users.

Form Extension in Localization as a Self-Service automatically generates and updates customized forms based on business requirement, automatically binds data sources and uploads forms into SAP S/4HANA Cloud Public Edition systems.

Use the generative AI side panel in the Cost Center Review Booklet application that provides multiple quick actions to tackle typical cost center reporting topics. Analyze and summarize data from cost-center review booklet into actionable financial business insights.

AI-assisted smart personalization of My Home helps users adding insights cards efficiently to My Home, the product homepage of SAP S/4HANA Cloud Public Edition, using natural language.

The AI feature makes it easier for asset accountants to understand fixed asset key figures by explaining the complex calculations in natural language.

The Smart Notes feature in the Manage Project Billing application of SAP S/4HANA Cloud Public Edition offers to billing specialists the ability to grammatically correct notes for Time and Expenses items with notes in Manage Project Billing. This allows the billing specialists to quickly review, decide on changes for the invoice output and eliminate the need for manual corrections. ​

Tax accountants can streamline their sales and use tax configuration for the United States using intelligent automation. This feature uses large language models (LLMs) to extract address details from natural-language input and automatically determines the correct jurisdiction code information. By drastically reducing or even eliminating manual maintenance, this feature significantly reduces response time and improves operational efficiency.

AI-assisted smart personalization of My Home for applications helps you to find the right apps for your task by using natural language. With one click you can add the app to your My Home to have it always in direct access from your entry page.

SAP S/4HANA Cloud Public Edition users can generate AI-created resolution recommendations for errors in their system. The generated messages are written in natural language to help users of all experience level rectify the issue and move on with the business process at hand.

This feature enables users to efficiently perform a mass update of delivery dates for multiple purchase order items through Joule. Instead of navigating through multiple screens or using traditional manual methods, users can simply interact with Joule using intuitive natural language queries. Joule processes the request, retrieves relevant purchase order data, and allows users to confirm and apply the changes in bulk.

Sales departments can now leverage AI to monitor and resolve order fulfillment issues quickly. Sales orders are summarized on header and item level in natural language, fulfillment issues are identified and resolved, sales orders can be updated, and document flows are made transparent.

Leverage natural language to create and update master data change requests and then generate a summary of all updates to master data contained in a change request.

Period-end journal entries are necessary for a period closing activity but accounting teams are spending considerable time in curating data as per the policies and reporting needs. Through a new SAP Fiori app with generative AI capabilities embedded, AI-assisted journal upload in SAP S/4HANA Cloud Private Edition accelerates the creation and the upload of period-end manual journal entries. Accountants can assign a guidance document (written in natural language) for accounting posting to the journal upload case, create journal upload cases, automatically generate journal posting proposals according to assigned guidance, validate the posting proposals before posting and post the posting proposal as journals.

This feature helps asset accountants explain how depreciation keys operate and the rationale behind the system's depreciation calculations in a user-friendly and easy-to-understand natural language for business users.

The feature empowers HR specialists to tag learning items with skills relevant for learners’ requirements, so that they can be discovered more easily. Employees can find suitable courses more quickly and in a targeted fashion, so that less time is wasted on searching for relevant courses. In addition, training completion rates go up, since less training is started, just to be abandoned halfway for non-suitability.

The AI-assisted image generation tool is an interactive widget that uses generative AI capabilities to assist administrators with images for learning content in Learning Administration. The AI-assisted image generation feature in Learning Administration offers administrators a streamlined method to create engaging content without the need for external image sourcing. The Generate Image option is available when creating or editing custom cards and banners, and when modifying existing items, programs, and curricula. Administrators enter a description and generate an image that can be applied directly to the learning content.

Give insights for target roles helps employees receive tailored guidance on necessary skills, enhancing relevance and efficiency in their development.​ Offer aligned course keywords for skill gaps enables employees to focus on relevant courses that boost their professional growth.​ Connect employees with ideal mentors allows guidance, knowledge sharing, and personalized career advancement advice.​ Help users set a structured, actionable development goal ensures a clear roadmap towards achieving target roles and fosters motivation and purpose.

Succession planners can leverage generative AI to gain powerful insights into successor candidates by understanding their role alignment, performance, key achievements, strengths, and development areas—all directly from the position card in the Succession Org Chart or Position Tile view.

Have you ever noticed a change in your pay and wondered what caused it? The Explain Pay feature allows employees of Employee Central Payroll customers to use Joule to get answers and explanations to questions they have about their own pay. This allows users to get immediate answers and can lead to a significant reduction in payroll help desk tickets.

The feature generates personalized hiring requirements, making the writing more effective and polished, resulting in improved efficiency in matching company talents with assignment needs.

In Opportunity Marketplace, assignment owners and co-owners can now create and edit assignments using generative AI capabilities. Assignment owners only need to enter assignment objectives and an assignment is generated based on the input using generative AI capabilities. The generative AI capabilities are available in the following scenarios: Assignment owners choose to create an assignment from scratch. Assignment owners choose to copy from an existing assignment. Assignment owners and co-owners edit an assignment.

Assist people managers by revolutionizing the use of their employees’ data with generative AI–enabled insights. Empower decision-makers with a comprehensive overview that streamlines the compensation-discussion process.

Create personal goals, including performance and development goals, based on an employee’s description of what they want to achieve. Upon content review, if users update their input and regenerate content, they can compare the original content with AI-generated content and choose which one to use.

Create personal goals, including performance and development goals, based on an employee’s description of what they want to achieve. Upon content review, if users update their input and regenerate content, they can compare the original content with AI-generated content and choose which one to use.

Get insights of a detailed 360 report organized in sections such as employee summary, key points and suggestions for improvement, to help users grasp the most important aspects of the report. Get a consolidated analysis of a specific skill or competency organized in sections such as topics, suggestions for improvement and summary, to provide an in-depth analysis of the employee's performance in a specific area, along with tailored growth recommendations.

Talent Intelligence Hub can now use AI-assisted capabilities to infer and recommend skills to employees in their Growth Portfolio using Continuous Performance Management data. When an employee enters details in the achievements, activities, or feedback section in Continuous Performance Management, this feature infers skills based on the employee's inputs. If the inferred skill exists in the Attributes Library of Talent Intelligence Hub, it is displayed as a recommended skill in the employee's Growth Portfolio. Employees can either add the recommended skill to their Growth Portfolio or reject the recommendation. If the inferred skill doesn't exist in the Attributes Library, the skill will be added to the Attributes Library and can be confirmed by Administrators for organizational use. We've built this feature so that more relevant skills can be recommended in the Growth Portfolio of employees. This feature replaces the previously rolled-back skill inferencing feature.

Create well-structured performance goals for teams, based on a manager or leader's description of what they want the team to achieve. Upon content review, users can update their input and regenerate content, edit to their liking, or use as is.

Managers can generate performance review insights to help visualize and understand an employee’s performance based on the feedback received. The feature provides a summary and synthesis of qualitative feedback an employee has received in a given performance year.

Through sentiment analysis, reviewers can gain valuable insights into the sentiment behind raters' feedback on 360 Reviews forms to better understand employee performance. Reviewers can initiate sentiment analysis of individual comments for a specific skill or competency. This AI-powered feature evaluates input from Detailed 360 Reports, such as skill or competency name, ratings, comments, and rater category, to determine the overall attitude of raters toward an employee’s skills or competencies.

Leveraging generative AI capabilities, succession planners can view a reference list of potential successors who are recommended based on their skills, competencies, and work experience. To recommend successors, AI utilizes data from Employee Central, Talent Intelligence Hub, and Job Profile Builder. This data includes competencies, skills and working experience to identify potential successor for key positions within the organization.

Provide visibility into the applicant's skills and how they match the skills required for the job. The feature not only identifies exact matches but also additional relevant skills related to the skills in the job description. It also suggests job-relevant skills that the applicants may have knowledge about or that they could easily acquire. Leverage AI to extract skills from an applicant’s data, such as on their resume. Leverage AI to augment the skills listed on a job requisition. Match an applicant's skills to the skills on a job requisition.

Help a recruiter or hiring manager enhance a generic job description using generative AI to better reflect their specific hiring needs.

Generate interview questions based on the job description using generative AI and evaluate applicants in Microsoft Teams after they complete their interviews. With this enhancement, interviewers have the following capabilities in the SAP SuccessFactors application in Microsoft Teams: Get notified 24 hours in advance in Microsoft Teams about an upcoming interview. Generate interview questions using AI capabilities. Provide interview feedback after evaluating an applicant. Access the evaluation in Microsoft Teams after the interview process.

Candidates can now upload their resume and get job recommendations based on the matching of their skills with the job required skills, and see which of the job required skills match the skills found in their resume. The AI-powered system analyzes the resume to highlight key skills and recommends the best-matching roles available on the career site. Candidates gain visibility into how their skills align with job requirements through the Skills Cloud, which displays matching skills upfront for added clarity and transparency.

The AI-generated insights provides a comprehensive evaluation, incorporating assessments of skills and competencies, overall comments, notes, skill-specific feedback, and the final recommendation. Recruiters can generate, view, and regenerate the insights as needed. As they provide new inputs during the candidate’s interview process, regenerating the results ensures it reflects the latest insights. With each update, the insights becomes more comprehensive, helping recruiters and hiring managers make well-informed and efficient decisions.

Employees can enrich their Growth Portfolio by uploading their resume. The system's AI analyzes the resume content, identifying relevant skills by leveraging the SAP SuccessFactors universal skills taxonomy. It then compares these identified skills against the organization's Attributes Library. Skills with a match in the library are presented to the employee in the Growth Portfolio for review and voluntary inclusion. Skills that do not match the organization's approved library are not displayed.

Employees can use the AI-assisted writing tool to enhance the quality of the content they write in the text fields in SAP SuccessFactors applications. AI-assisted writing is an interactive tool that uses generative AI capabilities to assist employees with their writing tasks.

Offering content in users' native language enhances both engagement and user experience. The Bulk Content Translate provides a handy yet powerful way to translate predefined content into multiple target languages, featuring an intuitive edit UI for you to review translations before applying them. It's now available for translating single picklist values.

Extended AI Locales let you create, review, and manage AI-translated locales with ease. Through a user-friendly UI and built-in workflow, you are able to ensure translations are human-reviewed, customized, and officially approved before being applied. This feature helps organizations efficiently expand language coverage, making it faster and more affordable to support a global workforce. As of the 1H 2025 release, Bosnia is available as the pilot locale.

For written text, the user can select this option to choose the target language they'd like it translated to. With this action, the following capabilities are supported: one-directional translation from US English to all 46 languages supported in SAP SuccessFactors and bi-directional translation, which allows for full translation between US English, German, French, Spanish, Portuguese, Simplified Chinese, and Japanese.

Skills architecture creation feature allows to create a skills library based on data from the job-role description fields in the job profile builder, as well as to create a set of job-to-skill mappings for job roles and aggregate all the skills into the attributes library. Additionally, it enables users without a skills library to create one quickly and with ease based on information in their job roles.

The AI-assisted writing feature is an interactive tool that uses generative AI capabilities to assist employees with their writing tasks. While writing content in the SAP SuccessFactors applications, employees can leverage the features of the AI-assisted writing tool to enhance multiple aspects of their writing, such as clarity, conciseness, and tone. Text analyzer in AI-assisted writing performs a safety scan on each text box, prompt entry, or generative AI output in order to detect bias, and suggest replacement text for any language flagged as potentially biased, discriminatory, or harmful.

The SAP SuccessFactors App in Microsoft Teams would like to support Natural Language Processing (NLP), allowing users to trigger quick actions and complete associated tasks by simply typing natural language requests. Our NLP capabilities are focused on mapping user inputs to available quick actions using AI. The system always attempts to match a user's request with a specific HR transaction. This means the response will either successfully match a transaction or return no match, without open-ended responses. The system is designed to provide clear, structured results, based on available quick actions, rather than engaging in free-form conversation.

Translate job descriptions, using generative AI, into languages supported within the organization.

Enhance job descriptions with generative AI using the job title, an existing job description, and required skills or qualifications.

Enabling users to input minimal data, such as a title and brief summary, and then leverage generative AI to produce comprehensive SOW descriptions.

Enable category managers to populate content recommendations from large language models (LLM) integration based on contextual and dynamic questions for tools such as category segmentation, category market dynamics and category cost structure.

Enable category managers to populate content recommendations from large language models (LLM) integration based on contextual and dynamic questions for tools such as category segmentation, category market dynamics and category cost structure.

Enable category managers to populate content recommendations from large language models (LLM) integration based on contextual and dynamic questions for tools such as category segmentation, category market dynamics and category cost structure.

Category managers can generate summaries of category strategy documents in SAP Ariba Category Management. These AI-enhanced summaries provide a quick overview, highlighting key points without the need to manually review details across all sections of the approval documents. Category managers can refine these summaries and send them for approval, improving decision-making. Additionally, they can regenerate category strategy details recommendations when the data in the strategy and plan tools is updated.

Category managers save time and effort by receiving tailored strategy recommendations based on their inputs, allowing them to focus on making informed, strategic decisions rather than manually analyzing data. This enhances efficiency, improves decision-making, and helps drive better procurement outcomes.

This feature provides inventory planners the ability to summarize key reasons for the Inventory Optimization recommended safety stock output values and adjustments made, impacting Final Safety Stock for use in downstream processes. The system generates clear summaries of factors driving recommended safety stock levels, translating complex calculations into understandable human language analysis. Demand variability, lead time fluctuations, service levels, and other relevant modeling inputs are highlighted as key influences, alongside planner deviations from recommendations.

Planners can now use the AI-assisted planning feature to easily generate SAP IBP formulas and formatting rules for their planning views without needing extensive technical knowledge. With SAP IBP formulas, planners can integrate custom calculations into their planning views using SAP IBP data. Additionally, formatting rules enable planners to highlight critical aspects of their plans, making it easier to identify areas that require attention. Previously, creating SAP IBP formulas and formatting rules was a manual process that typically required administrators due to its technical complexity. Now, with the introduction of planning assistance, planners can simply describe their requirements in natural language, and the system will generate the necessary SAP IBP formulas or formatting rules for them. This generative AI feature streamlines the planning process, empowering planners to focus on strategy rather than technical details.

Supply chain planners can leverage this feature to show a generative AI summary of the statistical forecast details of a select planning combination directly in the planning UI. Examples of shown information include which algorithm was chosen for the best fit and why, time series analysis considerations, and recommendations on how to improve forecast results.

The feature empowers supply chain planners to inquire about their supply planning runs, including time series optimization, addressing issues encountered, receiving suggestions for resolution, and comparing different planning runs.​ ​It uses generative AI to summarize planning run logs and retrieve relevant database entries streamlining their planning processes.

This feature provides inventory planners the ability to summarize key reasons for the Inventory Optimization recommended safety stock and reorder point output values and adjustments made, impacting final inventory parameters for use in downstream processes. The system generates clear summaries of factors driving recommended safety stock levels, translating complex calculations into understandable human language analysis. Distribution type used, lead time, service levels, and other relevant modeling inputs are highlighted as key influences, alongside planner deviations from recommendations.

This feature supports planners creating efficient transportation plans, including action chains with multiple instructions. The transportation cockpit can display the planning requirements and available capacities.

Let AI recommend maintenance orders that solved similar incidents from maintenance history. You select one to copy to create a new maintenance order.

Repair shops often deal with large volumes of paperwork. Manually entering this information into the SAP system is both time-consuming and prone to errors, especially when working under tight deadlines. These errors can lead to data loss and processing delays. AI-assisted in-house service initiation helps streamline this workflow. Repair staff can scan or photograph incoming paper documents, such as purchase orders. The system then automatically extracts the relevant data and generates a list of repair objects associated with the corresponding in-house service. Once the order is generated, staff can review the information and continue processing it through to completion.

Service managers can quickly access comprehensive details for equipment installed at customer sites, including warranty status and active or completed service transactions. They also receive an AI generated summary of services performed and an actionable recommendation.

SAP Joule for Consultants accelerates SAP projects and cloud transformations with the most authoritative AI assistance grounded in exclusive SAP knowledge. It enables consultants to increase productivity with fast and reliable answers, minimize rework with expert-level guidance that improves every design decision, and deliver more operational efficiency by ensuring projects align with best practices. SAP Joule for Consultants provides comprehensive explanation of ABAP code purpose, business logic, and structure, powered by a fine-tuned model trained on the largest and most diverse repository of ABAP code, encompassing 250 million lines of ABAP and 30 million lines of CDS code. Its expert-level guidance is grounded in 9+ terabytes of curated SAP knowledge, including 100+ SAP certifications and 3+ million non-public documents such as SAP Notes and SAP Knowledge Base Articles.