Submission declined on 20 May 2025 by Twistedmath (talk). This draft's references do not show that the subject qualifies for a Wikipedia article. In summary, the draft needs multiple published sources that are: in-depth (not just passing mentions about the subject) reliable secondary independent of the subject Make sure you add references that meet these criteria before resubmitting. Learn about mistakes to avoid when addressing this issue. If no additional references exist, the subject is not suitable for Wikipedia. Your draft shows signs of having been generated by a large language model, such as ChatGPT. Their outputs usually have multiple issues that prevent them from meeting our guidelines on writing articles. These include: Promotional tone, editorializing and other words to watch Vague, generic, and speculative statements extrapolated from similar subjects Essay-like writing Hallucinations (plausible-sounding, but false information) and non-existent references Close paraphrasing Please address these issues. The best way to do it is usually to read reliable sources and summarize them, instead of using a large language model. See our help page on large language models. If you would like to continue working on the submission, click on the "Edit" tab at the top of the window. If you have not resolved the issues listed above, your draft will be declined again and potentially deleted. If you need extra help, please ask us a question at the AfC Help Desk or get live help from experienced editors. Please do not remove reviewer comments or this notice until the submission is accepted. Where to get help If you need help editing or submitting your draft, please ask us a question at the AfC Help Desk or get live help from experienced editors. These venues are only for help with editing and the submission process, not to get reviews. If you need feedback on your draft, or if the review is taking a lot of time, you can try asking for help on the talk page of a relevant WikiProject. Some WikiProjects are more active than others so a speedy reply is not guaranteed. How to improve a draft Wikipedia:Contributing to Wikipedia – a basic overview on how to edit Wikipedia. Help:Wikitext – how to use the markup Help:Referencing for beginners – how to include references Wikipedia:Article development – how to develop your article Wikipedia:Writing better articles – how to improve your article Wikipedia:Verifiability – make sure your article includes reliable third-party sources You can also browse Wikipedia:Featured articles and Wikipedia:Good articles to find examples of Wikipedia's best writing on topics similar to your proposed article. Improving your odds of a speedy review To improve your odds of a faster review, tag your draft with relevant WikiProject tags using the button below. This will let reviewers know a new draft has been submitted in their area of interest. For instance, if you wrote about a female astronomer, you would want to add the Biography, Astronomy, and Women scientists tags. Add tags to your draft Editor resources Easy tools: Citation bot (help) | Advanced: Fix bare URLs Declined by Twistedmath 31 hours ago. Last edited by Twistedmath 31 hours ago. Reviewer: Inform author. Resubmit Please note that if the issues are not fixed, the draft will be declined again.

HR Service Delivery refers to the set of strategies, models, technologies, and processes used by Human Resources (HR) departments to provide services to employees throughout their lifecycle—covering onboarding, benefits, payroll, performance management, and offboarding.

Traditionally, HR services were delivered through face-to-face interactions and manual workflows. As digital transformation accelerates and organizations strive for operational efficiency, many have adopted more automated and technology-driven HR service delivery models.

According to Deloitte’s 2023 Global Human Capital Trends report¹, businesses are shifting from traditional HR structures to agile, service-oriented models that enhance the employee experience and reduce administrative overhead.

Many enterprises implement HR Shared Services Centers (SSCs) to centralize administrative HR functions and standardize processes across departments or geographies. These centers often support global operations and rely on case management systems, ticketing workflows, and process automation technologies.

Self-service portals allow employees and managers to perform HR-related tasks without direct HR intervention. Common functionalities include:

• Accessing pay statements
• Requesting leave
• Updating personal information
• Tracking onboarding progress

These tools promote efficiency and improve user satisfaction by reducing response times and increasing transparency.

Modern HR departments often adopt case management systems to handle employee inquiries with accountability and service-level tracking. Such platforms ensure consistent service delivery, documentation, and resolution metrics.

Organizations frequently use Business Process Management Systems (BPMS) or low-code platforms to automate HR workflows—such as approvals, document generation, and notifications. This increases accuracy and allows HR professionals to focus on strategic tasks.

HR service delivery platforms are typically integrated with:

• Human Resource Information Systems (HRIS)
• Payroll and time-tracking systems
• Learning Management Systems (LMS)
• Enterprise Resource Planning (ERP) tools

According to PwC’s HR Tech Survey², integration and ease of use are top priorities for organizations aiming to improve service quality and employee engagement.

• AI-powered chatbots for handling initial employee questions
• Predictive analytics to anticipate workforce needs and service bottlenecks
• Mobile-first platforms supporting remote and hybrid work models

McKinsey & Company estimates that organizations with mature HR service delivery models can reduce HR operating costs by up to 25% while improving employee satisfaction³.

Process automation tools like HEFLO are used by organizations to design, execute, and manage HR workflows through visual modeling and automation. These platforms support the digitization of common HR processes such as employee onboarding, leave requests, and policy approvals, ensuring both compliance and efficiency.

• Human resource management
• Shared services center
• Business process automation
• Employee experience
• Case management

1. Deloitte. (2023). Global Human Capital Trends.
2. PwC. (2022). HR Tech Survey.
3. McKinsey & Company. (2021). The New Possible: How HR Can Help Build the Organization of the Future.