Description: TECHNICAL FIELD
[0001] The present invention pertains to the realm of process automation, specifically focusing on systems and methods for automating the design and development of workflow orchestrations in an organisation. It mainly leverages the power of Generative AI to assist in the creation of comprehensive process models, including workflow diagrams, data models, and supporting documentation. By utilizing advanced prompting techniques, such as few-shot learning and role-playing, the invention enables users to efficiently generate initial process designs and accelerate the overall development lifecycle.

BACKGROUND OF THE INVENTION
[0002] Background description includes information that may be useful in understanding the present invention. It is an admission that any of the information provided herein is prior art or relevant to the presently claimed invention, or that any publication specifically or implicitly referenced is prior art.
[0003] In today's dynamic business environment, organizations face increasing pressure to optimize operations, enhance efficiency, and adapt quickly to evolving market demands. A cornerstone of this success lies in the effective design and implementation of efficient and robust business processes.
[0004] Traditionally, business process design has been a manual and often cumbersome undertaking. It typically involves a multi-step process that commences with meticulous requirement gathering, encompassing the identification and documentation of specific business objectives and needs.
[0005] Subsequently, process analysts meticulously craft visual representations of the process flow, encompassing a detailed mapping of activities, decision points, and the intricate flow of information and resources. This stage, often referred to as process modelling, demands significant expertise and can be time-consuming, particularly for complex business operations.
[0006] Furthermore, the design phase necessitates the creation of a comprehensive data model, outlining the structure and relationships of the data involved in the process. This step is crucial for ensuring data integrity, facilitating smooth data flow, and enabling seamless integration with existing systems.
[0007] Once the process model and data model are defined, extensive documentation is required. This often involves the creation of detailed process descriptions, user manuals, training materials, and compliance checklists. These documents are essential for effective process implementation, user training, and adherence to relevant regulations.
[0008] The final stages encompass the actual implementation and rigorous testing of the designed process. This involves deploying the process within the organization, conducting thorough testing to identify and rectify any issues or bottlenecks, and ensuring seamless integration with existing systems and workflows.
[0009] This traditional approach to process design presents several inherent challenges. Firstly, it is a time-consuming and resource-intensive endeavour, requiring significant involvement from process analysts, subject matter experts, and IT professionals.
[0010] Secondly, the manual nature of these tasks increases the risk of human error, leading to inconsistencies, omissions, and potential bottlenecks within the designed process.
[0011] Thirdly, adapting to changing business requirements can be cumbersome and time-consuming, requiring significant revisions to the process documentation and potentially impacting implementation timelines.
[0012] To address these limitations, organizations have increasingly sought to leverage technology to streamline and automate various aspects of process design. Business Process Management (BPM) software has emerged as a valuable tool, providing a platform for modelling, simulating, and executing business processes.
[0013] However, these tools often require significant user expertise and can still be challenging to use effectively, particularly for complex processes. Furthermore, while BPM software facilitates process modelling, it typically does not provide comprehensive support for other critical aspects of process design, such as data modelling, documentation generation, and risk assessment.
[0014] The advent of Artificial Intelligence (AI) has opened up new avenues for revolutionizing process design. AI technologies, such as machine learning and natural language processing, have the potential to automate many of the manual tasks involved in process design, thereby enhancing efficiency and reducing the risk of human error.
[0015] One particularly promising area of AI research is the development of Large Language Models (LLMs). LLMs are sophisticated AI systems trained on massive amounts of text data, enabling them to generate human-like text, translate languages, write different kinds of creative content, and answer your questions in an informative way. LLMs possess the remarkable ability to understand and generate human language, making them uniquely suited for a wide range of applications, including natural language processing, machine translation, and even code generation.
[0016] In the context of process design, LLMs offer the potential to automate several critical tasks. For instance, LLMs can analyse user input, such as process descriptions and requirements, and generate initial drafts of process models, including workflow diagrams and data flow models. Furthermore, LLMs can be employed to automatically generate comprehensive process documentation, such as user manuals, training materials, and compliance checklists. This can significantly reduce the time and effort required to create and maintain these essential documents.
[0017] Beyond these capabilities, LLMs can also be utilized to analyse existing process models and identify potential bottlenecks, inconsistencies, and areas for improvement. They can also be employed to assess potential risks and compliance issues associated with the designed process, ensuring adherence to relevant regulations and industry standards.
[0018] Hence, there is need of invention employing a system and a method that capitalizes on the transformative potential of LLMs to revolutionize the process of designing and developing workflow orchestrations. By leveraging the power of LLMs, this invention provides a novel system and method that automates many of the manual and time-consuming steps involved in traditional process design. In addition, there is need that the system incorporates advanced prompting techniques, such as few-shot learning and role-playing, to guide the LLM in generating highly customized and relevant process models that align with specific business requirements and objectives. Furthermore, there is need of the system that incorporates features such as user role identification, performance objective analysis, and risk assessment to ensure that the generated process models are not only efficient and effective but also compliant with relevant regulations and aligned with business objectives.
[0019] By seamlessly integrating LLMs with a user-friendly interface and existing process design tools, there is need of an invention that aims to significantly enhance the efficiency and effectiveness of process development that in turn empower organizations to respond more rapidly to changing market demands, improve operational agility, and gain a significant competitive advantage in today's dynamic business landscape.


OBJECTS OF THE INVENTION
[0020] It is a primary and overarching object of the present invention to develop a system and method that simplifies and automates the creation of workflow orchestrations, benefiting organizations in various industries.
[0021] It is another object of the present invention to develop the system and method that significantly reduce the time and effort required for business process design by automating manual tasks and streamlining the overall process design lifecycle.
[0022] It is yet another object of the present invention to develop the system and method that improve the accuracy and consistency of process models incorporated in a business by minimizing human error and ensuring greater consistency in the generated models through automation.
[0023] It is further object of the present invention to develop the system and method that enhance the agility and responsiveness of organizations to changing business requirements by streamlining the process design process and enabling organizations to adapt more quickly to evolving market conditions and business needs.
[0024] It is yet further object of the present invention to develop the system and method that improve the quality and efficiency of business processes by generating more robust and efficient process models, ultimately leading to improved overall business performance and operational efficiency.
[0025] It is another object of the present invention to develop the system and method that facilitate the creation of more comprehensive and accurate process documentation by automating documentation generation, saving significant time and effort while ensuring that all necessary information is captured and readily available.
[0026] It is yet another object of the present invention to develop the system and method that enable organizations to effectively leverage the power of Large Language Models (LLMs) for process design by harnessing the capabilities of LLMs to revolutionize the way businesses approach process design and development.
[0027] These and other objects of the present invention will become readily apparent from the following detailed description taken in conjunction with the accompanying drawings.

SUMMARY OF THE INVENTION
[0028] In accordance with an embodiment, the present disclosure provides a system for design and development of workflow orchestration, wherein said system comprising a display unit incorporating a user interface for receiving user input defining a desired business process, said input comprising at least one of a process name, a process description, a process category, a target country/region, and specific requirements; one or more processors associated with a computing device; and a memory operatively coupled to said one or more processors, wherein the memory comprises processor-executable instructions, which on execution, cause the one or more processor to communicate with the display unit over a network, wherein said processor configured to filter out abusive, harmful, or illegal content from said user input; and one or more additional processor for image generation communicates with the first set of processor over a network, wherein said set of additional processor configured to: receive said sanitized user input as input ;generate a prompt based on said sanitized user input, said prompt comprising at least one of a process category, a target country/region, compliance requirements, and specific user needs; process said prompt using at least one of few-shot prompting, role-playing, and persona prompting techniques; and generate a process model based on said processed prompt, said process model comprising at least one of a workflow diagram, a data model, and supporting documentation; and a process designer interface coupled to said additional processor for image generation, allowing a user to visualize, edit, and refine said process model.
[0029] In accordance with an aspect, said additional processor for image generation is further configured to generate said prompt based on a predefined template including fields for at least one of a process name, a process description, a process category, a target country/region, and specific requirements.
[0030] In accordance with an aspect, said additional processor for image generation is further configured to generate said prompt by incorporating information from a knowledge base including information related to industry best practices, regulatory compliance, and domain-specific knowledge.
[0031] In accordance with an aspect, said additional processor for image generation is further configured to identify a user role associated with said desired business process and incorporate said user role into said prompt.
[0032] In accordance with an aspect, said additional processor for image generation is further configured to identify performance objectives associated with said desired business process and incorporate said performance objectives into said prompt.
[0033] In accordance with an aspect, said additional processor for image generation is further configured to generate a risk assessment associated with said desired business process.
[0034] In accordance with an aspect, said additional processor for image generation is further configured to generate a compliance checklist associated with said desired business process.
[0035] In accordance with an aspect, said additional processor for image generation includes a JSON representation of the workflow diagram, data model, and supporting documentation.
[0036] In accordance with an aspect, said process designer interface is configured to import said JSON representation of said process model.
[0037] In accordance with an embodiment, the present disclosure provides a method for design and development of workflow orchestration, wherein said method comprising the steps of receiving user input via a user interface incorporating in a display unit defining a desired business process, said input comprising at least one of a process name, a process description, a process category, a target country/region, and specific requirements; associating one or more processors with a computing device; and operatively coupling a memory to said one or more processors, wherein the memory comprises processor-executable instructions, which on execution, cause the one or more processor to communicate with the display unit over a network, wherein said processor configured to filter out abusive, harmful, or illegal content from said user input; and communicating one or more additional processor for image generation with the first set of processor over a network, wherein said set of additional processor configured to: receiving said sanitized user input as input; generating a prompt based on said sanitized user input, said prompt comprising at least one of a process category, a target country/region, compliance requirements, and specific user needs; processing said prompt using at least one of few-shot prompting, role-playing, and persona prompting techniques; and generating a process model based on said processed prompt, said process model comprising at least one of a workflow diagram, a data model, and supporting documentation; and coupling a process designer interface to said additional processor for image generation, allowing a user to visualize, edit, and refine said process model.
[0038] In accordance with an aspect, said additional processor for image generation is further configured to generate said prompt based on a predefined template including fields for at least one of a process name, a process description, a process category, a target country/region, and specific requirements.
[0039] In accordance with an aspect, said additional processor for image generation is further configured to generate said prompt by incorporating information from a knowledge base including information related to industry best practices, regulatory compliance, and domain-specific knowledge.
[0040] In accordance with an aspect, said additional processor for image generation is further configured to identify a user role associated with said desired business process and incorporate said user role into said prompt.
[0041] In accordance with an aspect, said additional processor for image generation is further configured to identify performance objectives associated with said desired business process and incorporate said performance objectives into said prompt.
[0042] In accordance with an aspect, said additional processor for image generation is further configured to generate a risk assessment associated with said desired business process.
[0043] In accordance with an aspect, said additional processor for image generation is further configured to generate a compliance checklist associated with said desired business process.
[0044] In accordance with an aspect, said additional processor for image generation includes a JSON representation of the workflow diagram, data model, and supporting documentation.
[0045] In accordance with an aspect, said process designer interface is configured to import said JSON representation of said process model.
[0046] Various objects, features, aspects and advantages of the inventive subject matter will become more apparent from the following detailed description of preferred embodiments, along with the accompanying drawing figures in which like numerals represent like components.

BRIEF DESCRIPTION OF THE DRAWINGS
[0047] The accompanying drawings are included to provide a further understanding of the present invention, and are incorporated in and constitute a part of this specification. The drawings illustrate exemplary embodiments of the present invention and, together with the description, serve to explain the principles of the present invention.
[0048] FIG.1 illustrates the diagram outlining the sequential steps involved in generating business processes using a system or tool that leverages LLM (Large language model), as exemplified in one embodiment of the present invention.
[0049] FIG.2 illustrates the flow of process generation through a system for designing and developing workflow orchestration in accordance with an embodiment of the present invention.
[0050] FIG. 3A-G illustrates a series of screenshots demonstrating the "Create a Process" workflow within a Process Designer software, using the "Medical Claim Insurance Process" as an example. This process leverages an AI Toolkit to assist users in designing business processes. in accordance with an embodiment of the present invention.
[0051] FIG.4 illustrates the screenshot captures the visual representation of the workflow defined for the "Medical Claim Insurance Process" within the Process Designer in accordance with an embodiment of the present invention.

DETAILED DESCRIPTION OF THE INVENTION
[0052] The following is a detailed description of embodiments of the invention depicted in the accompanying drawings. The embodiments are in such details as to clearly communicate the invention. However, the amount of detail offered is not intended to limit the anticipated variations of embodiments; on the contrary, the intention is to cover all modifications, equivalents, and alternatives falling within the spirit and scope of the present invention as defined by the appended claims.
[0053] If the specification states a component or feature “may”, “can”, “could”, or “might” be included or have a characteristic, that particular component or feature is not required to be included or have the characteristic.
[0054] Exemplary embodiments will now be described more fully hereinafter with reference to the accompanying drawings, in which exemplary embodiments are shown. This invention may however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. These embodiments are provided so that this invention will be thorough and complete and will fully convey the scope of the invention to those of ordinary skill in the art. Moreover, all statements herein reciting embodiments of the invention, as well as specific examples thereof, are intended to encompass both structural and functional equivalents thereof. Additionally, it is intended that such equivalents include both currently known equivalents as well as equivalents developed in the future (i.e., any elements developed that perform the same function, regardless of structure).
[0055] Various terms as used herein. To the extent a term used in a claim is not defined below, it should be given the broadest definition persons in the pertinent art have given that term as reflected in printed publications and issued patents at the time of filing.
[0056] As used in the description herein and throughout the claims that follow, the meaning of “a,” “an,” and “the” includes plural reference unless the context clearly dictates otherwise. Also, as used in the description herein, the meaning of “in” includes “in” and “on” unless the context clearly dictates otherwise.
[0057] The recitation of ranges of values herein is merely intended to serve as a shorthand method of referring individually to each separate value falling within the range. Unless otherwise indicated herein, each individual value is incorporated into the specification as if it were individually recited herein. All methods described herein can be performed in any suitable order unless otherwise indicated herein or otherwise clearly contradicted by context. The use of any and all examples, or exemplary language (e.g. “such as”) provided with respect to certain embodiments herein is intended merely to better illuminate the invention and does not pose a limitation on the scope of the invention otherwise claimed. No language in the specification should be construed as indicating any non-claimed element essential to the practice of the invention.
[0058] Groupings of alternative elements or embodiments of the invention disclosed herein are not to be construed as limitations. Each group member can be referred to and claimed individually or in any combination with other members of the group or other elements found herein. One or more members of a group can be included in, or deleted from, a group for reasons of convenience and/or patentability. When any such inclusion or deletion occurs, the specification is herein deemed to contain the group as modified thus fulfilling the written description of all groups used in the appended claims.
[0059] Aspects of this invention delve into the realm of intelligent systems and methodologies, pioneering a novel approach to automating the intricate tapestry of business process design and development through the ingenious orchestration of LLM.
[0060] FIG.1 illustrates the diagram outlining the sequential steps involved in generating business processes 100 using a system or tool that leverages LLM, as exemplified in one embodiment of the present invention.
[0061] STEP 102 defines User Input & Contextualization- The process begins with the user providing essential information through a user-friendly interface within the "Process creation by a system or tool that utilizes LLM.” This input includes:
• Process Name: A descriptive name for the process.
• Process Description: A brief overview of the process objectives.
• Process Category: Categorizing the process (e.g., insurance, banking, and healthcare) provides valuable context for the AI (Artificial Intelligence) model.
• Target Country/Region: This input allows the AI to consider relevant regulations and compliance requirements.
• Specific Requirements: Users can input specific needs, such as compliance standards (e.g., GDPR, HIPAA), performance targets, or integration with existing systems.
[0062] STEP 104 defines Input Sanitization and Prompt Generation:-The system then processes the user input. This includes:
• Input Sanitization: Rigorous sanitization is applied to filter out abusive, harmful, or illegal content, ensuring ethical and responsible AI usage.
• Prompt Generation: The system constructs detailed prompts for the GenAI model, incorporating the sanitized user input. These prompts include:
o Context: Process category, target country/region, compliance requirements, and any specific user needs.
o Objective: The desired outcome of the process (e.g., "automate customer on boarding," "process insurance claims").
o Audience: The intended users or stakeholders of the process.
o Style: The desired level of detail and formality in the generated output.
o Response Format: Explicit instructions to the AI model on the expected output structure, such as JSON schema for seamless integration with the process designer.
• Advanced Prompting Techniques:
o Few-Shot Prompting: The system provides the AI model with a few exemplary process descriptions and their corresponding generated outputs, enabling the model to learn and adapt its responses more effectively.
o Role-Playing: The AI model is prompted to assume the role of a seasoned process architect or domain expert, encouraging it to generate more sophisticated and accurate process models.
o Persona Prompting: The system can personalize the AI's responses by defining a specific persona, such as a compliance officer or a process analyst.
[0063] STEP 106 & 108 defines Prompt Moderation and Gen AI Processing - The generated prompt is then sent to the Gen AI Server for moderation to avoid malicious or abusive content. Subsequently, the Gen AI Server processes the moderated prompt using the COSTAR prompt technique, generating a text-based response or output.
[0064] STEP 110 & 112 defines Output Formatting and Process Display- The Gen AI text output is then converted into a process designer format using one-shot prompting techniques. This formatted output is then read and displayed to the user, showcasing the desired process. The AI model generates a comprehensive process model, encompassing:
o Workflow Graph: A visual representation of the process flow, including activities, decision points, and connections.
o Data Model: A structured representation of the data involved in the process, including data entities, attributes, and relationships.
o Supporting Documentation: A set of documents, such as process descriptions, user manuals, and compliance checklists.
Other key elements of a process include:
Documents required for the process: For example, ID proof and address proof for an Account Opening process.
Exceptions: Special considerations within the process, such as different privileges for High Net Worth Individuals (HNI) customers during account opening.
To-Dos: A checklist to guide the user through the necessary steps while working on the process.
[0065] STEP 114 defines End of the process- The process concludes with the user being presented with the generated process in JSON format, aligning with the data structure expected by the process designer. This ensures seamless integration of the AI-generated output into the designer's interface, allowing users to easily visualize, edit, and refine the process model.
[0066] FIG.2 illustrates the flow of process generation through a system for designing and developing workflow orchestration in accordance with an embodiment of the present invention. The system comprises:
1. Display Unit: Equipped with a user interface, it receives user input defining a desired business process. This input includes at least one of: process name, process description, process category, target country/region, and specific requirements.
2. Processors (Set 1): Associated with a computing device and coupled to memory or data storage module containing processor-executable instructions. These processors communicate with the display unit over a network and are configured to filter out abusive, harmful, or illegal content from the user input.
3. Processors (Set 2): Image Generation: These processors communicate with the first set of processors over a network. They are responsible for:
o Receiving the sanitized user input.
o Generating a prompt based on the sanitized input, incorporating elements like process category, target country/region, compliance requirements, and specific user needs.
o Processing the prompt using techniques such as few-shot prompting, role-playing, and persona prompting.
o Generating a process model based on the processed prompt, which can include a workflow diagram, data model, and supporting documentation.
4. Process Designer Interface: Coupled to the image generation processors, this interface allows users to visualize, edit, and refine the generated process model.
[0067] Step-by-Step Execution:
1. User Input: The user interacts with the display unit, providing input for the desired business process through the user interface.
2. Input Filtering: Processors (Set 1) receive the user input and filter out any abusive, harmful, or illegal content.
3. Prompt Generation: Processors (Set 2) receive the sanitized user input and generate a prompt for the Generative AI (Gen AI) server. The prompt is carefully constructed based on the user input, incorporating relevant context and desired output format.
4. Gen AI Processing: The prompt is sent to the Gen AI server, which processes it using the COSTAR prompt technique. The Gen AI server then generates a text-based response or output.
5. Output Formatting: The Gen AI text output is converted into a format suitable for the process designer using one-shot prompting techniques.
6. Process Model Generation: The formatted output is read and interpreted to generate the desired process model, which may include elements like workflow diagrams, data models, and supporting documentation.
7. User Interaction: The generated process model is displayed on the process designer interface, allowing users to visualize, edit, and refine the model as needed.
This combined description and diagram provide a clear understanding of the system's architecture and the step-by-step execution of the process generation method
[0068] FIG. 3A-G illustrates a series of screenshots demonstrating the "Create a Process" workflow within a Process Designer software, using the "Medical Claim Insurance Process" as an example. This process leverages an AI Toolkit to assist users in designing business processes. Here's a step-by-step breakdown:
Step 1: Process Definition (FIG. 3A)
The user begins by defining the basic parameters of the process:
1. Process Name/Title: "Medical Claim Insurance Process"
2. Category: (Optional) The user can categorize the process (e.g., "Insurance").
3. Geography: (Optional) The user can specify the geographical scope (e.g., "United States").
4. Additional Comments: (Optional) The user can add any relevant notes.
The interface also provides options to:
• Choose a Template: Select a pre-existing process template as a starting point.
• Clear Input: Clear all entered data.
• Use Template: Apply the selected template.
• Generate Process: Initiate process generation based on the provided input or selected template.
Step 2: Process Generation (FIG. 3B)
After inputting the initial details or selecting a template, the user clicks "Generate Process." The system then displays a "Generating..." message, indicating that is creating the process map and necessary artifacts. This step may take some time.
Step 3: Initial Process Flow (FIG. 3C)
Once the generation is complete, the system presents a basic process flow diagram. This diagram typically includes initial steps generated by the system, such as:
1. Receive Claim
2. Verify Details
3. Approve/Reject Claim
4. Process Payment
The user can now refine this initial flow by:
• Adding, modifying, or deleting steps.
• Using the "Generate Process" button to trigger further refinement and detail generation.
Step 4: Data Model Definition (FIG. 3D)
The user switches to the "Data Model" tab to define the data involved in the process. This involves specifying:
1. Data Objects: The core data entities (e.g., "Claim Data," "Customer Data").
2. Descriptions: Explanations of the data objects.
3. Variable Names: Specific data elements within each object (e.g., "claim ID," "claim Amount," "customer Name").
4. Data Types: The type of data for each variable (e.g., String, Float, Boolean, Date).
The interface provides tools to add, modify, and delete data objects and variables.
Step 5: Document Definition (FIG. 3E)
The user moves to the "Documents" tab to define the documents used in the process. This includes:
1. Document Types: The types of documents involved (e.g., "Claim Form," "Medical Report," "Payment Receipt").
2. Descriptions: Explanations of each document type.
Step 6: Exception Handling (FIG. 3F)
On the "Exceptions" tab, the user defines potential exceptions or error conditions that might occur during the process. This includes:
1. Exceptions: The specific exceptions (e.g., "Incomplete Claim Details," "Invalid Policy Number").
2. Descriptions: Explanations of each exception. This step is critical for ensuring the process can handle unexpected situations.
Step 7: Task Definition (FIG. 3G)
Finally, the user works on the "Tasks" tab to define the individual tasks or activities that make up the process. This involves:
1. Task: The name of the task (e.g., "Verify Regulatory Compliance," "Process Claim").
2. Description: A detailed explanation of the task.
The user can define the sequence and dependencies between these tasks to create the complete workflow. The example shows the task "Verify Regulatory Compliance," highlighting the importance of adherence to regulations.
Finalization:
After completing these steps, the user likely uses the "Generate Process" button to finalize the process design. The system then generates the complete process model, including the workflow, data model, document definitions, exception handling, and task assignments. This completed model can then be deployed and used to manage actual medical claim insurance processes.
[0069] FIG.4 illustrates the screenshot captures the visual representation of the workflow defined for the "Medical Claim Insurance Process" within the Process Designer Software in accordance with an embodiment of the present invention. The key elements include
• Process Flow View: This is the active view, indicating that the user is currently designing the workflow of the process.
• Process Flow Diagram: This is the central element of the screenshot. It visually represents the sequence of steps involved in the "Medical Claim Insurance Process." The diagram shows the following steps:
o Receive Claim: The initial step where the claim is received.
o Verify Claim: The claim is checked for completeness and accuracy.
o Approve/Reject Claim: The claim is reviewed and either approved or rejected.
o Process Payment: If approved, payment is processed for the claim.
o End Event: The end of the process.
• Connectors: Lines connecting the steps indicate the flow of the process.
• Other Interface Elements:
o "" Logo: Identifies the software being used.
o "Medical Claim Insurance Process": Name of the process being designed.
o Tabs: Allow users to switch between different views (Process Flow, Data Model, etc.).
o Toolbar: Provides tools for editing the process flow (e.g., adding/removing steps, connecting steps).
[0070] In essence, this screenshot captures the visual representation of the workflow defined for the "Medical Claim Insurance Process" within the Process Designer software. The diagram provides a clear overview of the sequence of steps involved in handling a medical insurance claim.
[0071] At its core, this invention seeks to revolutionize workflow orchestration by automating key aspects of the process through the innovative application of Generative AI, resulting in improved efficiency, accuracy, and consistency.
[0072] It should be apparent to those skilled in the art that many more modifications besides those already described are possible without departing from the inventive concepts herein. The inventive subject matter, therefore, is not to be restricted except in the spirit of the appended claims. Moreover, in interpreting both the specification and the claims, all terms should be interpreted in the broadest possible manner consistent with the context. In particular, the terms “comprises” and “comprising” should be interpreted as referring to elements, components, or steps in a non-exclusive manner, indicating that the referenced elements, components, or steps may be present, or utilized, or combined with other elements, components, or steps that are not expressly referenced. Where the specification claims refers to at least one of something selected from the group consisting of A, B, C ….and N, the text should be interpreted as requiring only one element from the group, not A plus N, or B plus N, etc.
[0073] The foregoing description of the specific embodiments will so fully reveal the general nature of the embodiments herein that others can, by applying current knowledge, readily modify and/or adapt for various applications such specific embodiments without departing from the generic concept, and, therefore, such adaptations and modifications should and are intended to be comprehended within the meaning and range of equivalents of the disclosed embodiments. It is to be understood that the phraseology or terminology employed herein is for the purpose of description and not of limitation. Therefore, while the embodiments herein have been described in terms of preferred embodiments, those skilled in the art will recognize that the embodiments herein can be practiced with modification within the spirit and scope of the appended claims.
[0074] While the foregoing describes various embodiments of the invention, other and further embodiments of the invention may be devised without departing from the basic scope thereof. The scope of the invention is determined by the claims that follow. The invention is not limited to the described embodiments, versions or examples, which are included to enable a person having ordinary skill in the art to make and use the invention when combined with information and knowledge available to the person having ordinary skill in the art.

TECHNICAL ADVANTAGES

1. Increased Efficiency and Productivity:
• Reduced Design Time: The primary advantage is the significant reduction in the time required to design and develop business processes. By automating initial process generation, the invention streamlines the process development lifecycle.
• Faster Time-to-Market: Reduced design time translates to faster deployment of new processes, enabling organizations to respond more quickly to market changes and business needs.
2. Improved Accuracy and Consistency:
• Minimized Human Error: Automating parts of the process design reduces the potential for human errors, such as inconsistencies, omissions, or incorrect interpretations of requirements.
• Enhanced Consistency: The use of AI and predefined templates ensure greater consistency in process definitions across the organization, leading to improved process quality and reduced operational risks.
3. Enhanced Quality and Compliance:
• Improved Process Design: The AI-powered system generates more robust and well-structured process models, leading to more efficient and effective processes.
• Compliance Adherence: By considering compliance requirements during process generation, the system can help organizations ensure adherence to relevant regulations (e.g., GDPR, HIPAA).
4. Improved Collaboration and Communication:
• Shared Understanding: The automated generation of process models and documentation improve communication and collaboration among stakeholders involved in process design and implementation.
5. New Revenue Stream:
• Commercialization: The user can monetize this innovation by offering the feature of the present Invention as an add-on licensing option to its customers, generating additional revenue streams.
, C , C , C , Claims:1. A system for design and development of workflow orchestration, wherein said system comprising
a display unit incorporating a user interface for receiving user input defining a desired business process, said input comprising at least one of a process name, a process description, a process category, a target country/region, and specific requirements;
one or more processors associated with a computing device; and
a memory operatively coupled to said one or more processors, wherein the memory comprises processor-executable instructions, which on execution, cause the one or more processor to communicate with the display unit over a network, wherein said processor configured to filter out abusive, harmful, or illegal content from said user input; and
one or more additional processor for image generation communicates with the first set of processor over a network, wherein said set of additional processor configured to:
receive said sanitized user input as input ;
generate a prompt based on said sanitized user input, said prompt comprising at least one of a process category, a target country/region, compliance requirements, and specific user needs;
process said prompt using at least one of few-shot prompting, role-playing, and persona prompting techniques; and
generate a process model based on said processed prompt, said process model comprising at least one of a workflow diagram, a data model, and supporting documentation; and
a process designer interface coupled to said additional processor for image generation, allowing a user to visualize, edit, and refine said process model.
2. The system as claimed in claim 1, wherein said additional processor for image generation is further configured to generate said prompt based on a predefined template including fields for at least one of a process name, a process description, a process category, a target country/region, and specific requirements.

3. The system as claimed in claim 2, wherein said additional processor for image generation is further configured to generate said prompt by incorporating information from a knowledge base including information related to industry best practices, regulatory compliance, and domain-specific knowledge.

4. The system as claimed in claim 2, wherein said additional processor for image generation is further configured to identify a user role associated with said desired business process and incorporate said user role into said prompt.

5. The system as claimed in claim 2, wherein said additional processor for image generation is further configured to identify performance objectives associated with said desired business process and incorporate said performance objectives into said prompt.

6. The system as claimed in claim 2, wherein said additional processor for image generation is further configured to generate a risk assessment associated with said desired business process.

7. The system as claimed in claim 2, wherein said additional processor for image generation is further configured to generate a compliance checklist associated with said desired business process.

8. The system as claimed in claim 1, wherein said additional processor for image generation includes a JSON representation of the workflow diagram, data model, and supporting documentation.

9. The system as claimed in claim 1, wherein said process designer interface is configured to import said JSON representation of said process model.

10. A method for design and development of workflow orchestration, wherein said method comprising the steps of
receiving user input via a user interface incorporating in a display unit defining a desired business process, said input comprising at least one of a process name, a process description, a process category, a target country/region, and specific requirements;
associating one or more processors with a computing device; and
operatively coupling a memory to said one or more processors, wherein the memory comprises processor-executable instructions, which on execution, cause the one or more processor to communicate with the display unit over a network, wherein said processor configured to filter out abusive, harmful, or illegal content from said user input; and
communicating one or more additional processor for image generation with the first set of processor over a network, wherein said set of additional processor configured to:
receiving said sanitized user input as input;
generating a prompt based on said sanitized user input, said prompt comprising at least one of a process category, a target country/region, compliance requirements, and specific user needs;
processing said prompt using at least one of few-shot prompting, role-playing, and persona prompting techniques; and
generating a process model based on said processed prompt, said process model comprising at least one of a workflow diagram, a data model, and supporting documentation; and
coupling a process designer interface to said additional processor for image generation, allowing a user to visualize, edit, and refine said process model.
11. The method as claimed in claim 10, wherein said additional processor for image generation is further configured to generate said prompt based on a predefined template including fields for at least one of a process name, a process description, a process category, a target country/region, and specific requirements.

12. The method as claimed in claim 10, wherein said additional processor for image generation is further configured to generate said prompt by incorporating information from a knowledge base including information related to industry best practices, regulatory compliance, and domain-specific knowledge.

13. The method as claimed in claim 10, wherein said additional processor for image generation is further configured to identify a user role associated with said desired business process and incorporate said user role into said prompt.

14. The method as claimed in claim 10, wherein said additional processor for image generation is further configured to identify performance objectives associated with said desired business process and incorporate said performance objectives into said prompt.

15. The method as claimed in claim 10, wherein said additional processor for image generation is further configured to generate a risk assessment associated with said desired business process.

16. The method as claimed in claim 10, wherein said additional processor for image generation is further configured to generate a compliance checklist associated with said desired business process.

17. The method as claimed in claim 10, wherein said additional processor for image generation includes a JSON representation of the workflow diagram, data model, and supporting documentation.

18. The method as claimed in claim 10, wherein said process designer interface is configured to import said JSON representation of said process model.