We were founded in 2005 in a tiny apartment in Bucharest, Romania as DeskOver.

Fittingly, it was a customer who, in 2012, first saw the immense possibilities for us in the fledgling RPA market. Our desktop automation product launched in 2013. In 2015, we introduced our enterprise platform along with our new name.

Today, UiPath is the fastest-growing enterprise software company in history with scores of offices, thousands of employees, partnerships with the world’s best consulting and BPO firms, a **500,000-strong developer community**, and **5MM+ robots at work** in over **5,000 global enterprises.**

Our mission is to deliver the leading Robotic Process Automation platform to our clients for an automation first mindset.

We build software robots that automate repetitive processes. Our software robots take on the tedious, mind-numbing work and free people to do the more stimulating, creative work worth doing.

But no matter how much we’ve grown, one thing hasn’t changed. We’re still building a company we love to work for

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The 3-way match process is a widely used process in accounting and finance to ensure that payments to vendors or suppliers are accurate and complete. The process involves comparing a purchase order, the goods receipt report, and an invoice. This Solution Accelerator was co-developed in partnership with [The Silicon Partners](https://marketplace.uipath.com/organizations/the-silicon-partners-inc)  (TSP).

3-way matching process to authorize vendor payment.

3-way matching Solution Accelerator automating in P2P the process to authorize vendor payment, matching Invoices with Good Receipts and Purchase Orders

Some of the activities contained are:

*   Taxonomy Replace Set With StringList
*   Move Email
*   Send Email
*   Clear Folder Content
*   Create Excel File
*   Delete All Files In Folder
*   Download File From Storage Bucket
*   Upload File To Storage Bucket
*   Merge Dictionaries
*   Get Max Retries
*   Add Queue Item With Retry Mechanism
*   Regular Expression Check

UiPath Solution Accelerators Generic reusables is a package that bundles common activities used in Solution Accelerators.

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Does your organization deal with vast text-based operations? Perhaps it's crafting cold-call emails, summarizing customer interactions, processing insurance claims communications, creating product documentation, or responding to customer feedback. These are just a few examples. Any operation that involves heavy use of text, across various systems, document types, and applications, can be daunting and time-consuming.

  

The Prompt Engineering Framework Solution seamlessly takes in any number of textual contexts, enabling a Prompt Engineer to refine the prompt and retrieve accurate responses from a Large Language Model (LLM). The iteration process involves the modification of prompts, AI parameters, and even model changes, until the desired outcome is achieved. Once the Prompt Engineer is satisfied with the quality, accuracy, and reliability of the LLM's output, they can choose to run the refined prompt across all items in a queue without needing to verify each response manually. This streamlines the process significantly, saving your team the time spent on individual manual verification. With this confidence in the process, they can focus more on refining the prompt and adjusting Generative AI parameters to consistently produce high-quality responses.

  

Two practical applications of this framework are available as Accelerators on the [Marketplace](https://marketplace.uipath.com/listings?compatible_product=10) named:

*   [Prompt Pattern 1 – Reader / Writer](https://marketplace.uipath.com/listings/prompt-pattern-1-reader-writer)
*   [Prompt Pattern 2 – Analyst / Doer](https://marketplace.uipath.com/listings/prompt-pattern-2-analyst-doer)

Enhance your prompts using collected context, and continuously adjust Generative AI parameters and prompts to tailor LLM outcomes to retrieve the desired output.

The IAM Onboarding/Offboarding Solution Accelerator is designed to cover the process for onboarding and offboarding employees in any enterprise or organization. Enjoy time savings due to faster onboarding and offboarding, reduced errors due to minimal human engagement, and cost savings from reduced resources involvement.

  

This accelerator addresses several challenges, such as employees being unable to perform assigned responsibilities due to their level of access and pending requests, the IT service desk addressing repetitive, manual, mundane, time-consuming, and high-volume tickets, overall operational costs, and writing bespoke integration codes for multiple backend systems.

  

The IAM Onboarding/Offboarding Solution Accelerator will pick up ServiceNow tickets, seek respective approvals (where needed), perform the fulfillment steps in backend systems like AD, SharePoint, Database, and update/resolve ServiceNow tickets to complete the process via bots for both onboarding and offboarding.

  

The code in this solution accelerator package processes digital identification management in this progression:

1.  Retrieves request for onboarding/offboarding new employee.
2.  Routes approval flows for new identity requests.
3.  Creates user IDs and authorizations or roles for new employee in back-end environments.
4.  Updates the status of the onboarding/offboarding request in the ITSM application.

Create an automated interface for resource onboarding and offboarding processes with minimal human involvement.

The Acord 131 form, also known as the Umbrella/Excess section, is a standardized document that provides information about liability coverage, offering extended coverage and high excess limits.

  

The model is trained to extract details from the Acord 131 form. This extraction involves up to 57 fields as well as additional items including Agency details, Policy information, Liability coverage specifics, Locations and Subsidiaries, Underlying Insurance information, and more. The model’s proficiency in data extraction contributes to a thorough understanding of the form's content, streamlining the process of obtaining valuable insights from Acord 131 forms.

  

The Document Understanding Solution Accelerators come equipped with [Specialized AI models](https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/out-of-the-box-pre-trained-ml-packages) tailored to particular document types. If a business wishes to refine these models to resonate more closely with a particular document variant in their unique operational context, the models can be further [trained](https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/quickstart-invoices-retrained-with-one-additional-field). With the groundwork firmly in place, the implementation time can be reduced by weeks.

  

The use of UiPath Document Understanding Models utilizes [UiPath AI Units](https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/metering-charging-logic).

This accelerator is an out-of-the-box ML model for seamless Acord 131 form processing, retrieval, and validation.

The Acord 131 form, also known as the Umbrella/Excess section, is a standardized document that provides information about liability coverage, offering extended coverage and high excess limits.

The model is trained to extract details from the Acord 131 form. This extraction involves up to 57 fields as well as additional items including Agency details, Policy information, Liability coverage specifics, Locations and Subsidiaries, Underlying Insurance information, and more. The model’s proficiency in data extraction contributes to a thorough understanding of the form's content, streamlining the process of obtaining valuable insights from Acord 131 forms.

The Document Understanding Solution Accelerators come equipped with [Specialized AI models](https://docs.uipath.com/document-understanding/automation-suite/2023.10/user-guide/out-of-the-box-pre-trained-ml-packages) tailored to particular document types. If a business wishes to refine these models to resonate more closely with a particular document variant in their unique operational context, the models can be further [trained](https://docs.uipath.com/document-understanding/automation-cloud/latest/classic-user-guide/quickstart-invoices-retrained-with-one-additional-field). With the groundwork firmly in place, the implementation time can be reduced by weeks.

The use of UiPath Document Understanding Models utilizes [UiPath AI Units](https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/metering-charging-logic).

The Acord 140 form, often referred to as the Property Section, is primarily utilized to document specific property-related details including information about insured business locations, buildings, property values, and other property-specific details.

The model has been trained to extract up to 73 individual fields, in addition to various supplemental items. The extracted information includes details about property values, location information, building specifications, and other crucial aspects. This model’s proficiency in extracting a wealth of information from Acord 140 forms contributes to a more efficient understanding of the form's contents and aids in making informed decisions related to property insurance.

  

The Document Understanding Solution Accelerators come equipped with [Specialized AI models](https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/out-of-the-box-pre-trained-ml-packages) tailored to particular document types. If a business wishes to refine these models to resonate more closely with a particular document variant in their unique operational context, the models can be further [trained](https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/quickstart-invoices-retrained-with-one-additional-field). With the groundwork firmly in place, the implementation time can be reduced by weeks.

  

The use of UiPath Document Understanding Models utilizes [UiPath AI Units](https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/metering-charging-logic).

This accelerator is an out-of-the-box ML model for seamless Acord 140 form processing, retrieval, and validation.

The Acord 140 form, often referred to as the Property Section, is primarily utilized to document specific property-related details including information about insured business locations, buildings, property values, and other property-specific details.

The model has been trained to extract up to 73 individual fields, in addition to various supplemental items. The extracted information includes details about property values, location information, building specifications, and other crucial aspects. This model’s proficiency in extracting a wealth of information from Acord 140 forms contributes to a more efficient understanding of the form's contents and aids in making informed decisions related to property insurance.

The Document Understanding Solution Accelerators come equipped with [Specialized AI models](https://docs.uipath.com/document-understanding/automation-suite/2023.10/user-guide/out-of-the-box-pre-trained-ml-packages) tailored to particular document types. If a business wishes to refine these models to resonate more closely with a particular document variant in their unique operational context, the models can be further [trained](https://docs.uipath.com/document-understanding/automation-cloud/latest/classic-user-guide/quickstart-invoices-retrained-with-one-additional-field). With the groundwork firmly in place, the implementation time can be reduced by weeks.

The use of UiPath Document Understanding Models utilizes [UiPath AI Units](https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/metering-charging-logic).

The Acord 25, often referred to as the Certificate of Liability Insurance is a recognizable document that serves as evidence that business owners possess general liability insurance coverage. Typically provided by the insurance company upon purchasing a business insurance policy, this form validates the insurance coverage.

  

This model is trained to adeptly extract up to 77 distinct fields from the Acord 25 document, in addition to various supplementary items. The extracted information includes details about the policy itself, types of insurance coverage, the insurance company that issued the policy, insurance limits, named insured individuals or entities, and more. This model's proficiency in extracting extensive data from Acord 25 forms enhances comprehension of the document's content, facilitating well-informed decisions within the context of liability insurance.

  

The Document Understanding Solution Accelerators come equipped with [Specialized AI models](https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/out-of-the-box-pre-trained-ml-packages) tailored to particular document types. If a business wishes to refine these models to resonate more closely with a particular document variant in their unique operational context, the models can be further [trained](https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/quickstart-invoices-retrained-with-one-additional-field). With the groundwork firmly in place, the implementation time can be reduced by weeks.

  

The use of UiPath Document Understanding Models utilizes [UiPath AI Units](https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/metering-charging-logic).

This accelerator is an out-of-the-box ML model for seamless Acord 25 form processing, retrieval, and validation.

The Acord 25, often referred to as the Certificate of Liability Insurance is a recognizable document that serves as evidence that business owners possess general liability insurance coverage. Typically provided by the insurance company upon purchasing a business insurance policy, this form validates the insurance coverage.

This model is trained to adeptly extract up to 77 distinct fields from the Acord 25 document, in addition to various supplementary items. The extracted information includes details about the policy itself, types of insurance coverage, the insurance company that issued the policy, insurance limits, named insured individuals or entities, and more. This model's proficiency in extracting extensive data from Acord 25 forms enhances comprehension of the document's content, facilitating well-informed decisions within the context of liability insurance.

The Document Understanding Solution Accelerators come equipped with [Specialized AI models](https://docs.uipath.com/document-understanding/automation-suite/2023.10/user-guide/out-of-the-box-pre-trained-ml-packages) tailored to particular document types. If a business wishes to refine these models to resonate more closely with a particular document variant in their unique operational context, the models can be further [trained](https://docs.uipath.com/document-understanding/automation-cloud/latest/classic-user-guide/quickstart-invoices-retrained-with-one-additional-field). With the groundwork firmly in place, the implementation time can be reduced by weeks.

The use of UiPath Document Understanding Models utilizes [UiPath AI Units](https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/metering-charging-logic).

A Bill of Lading is equivalent to a shipment receipt. Within the Shipping industry, it holds the status of a legal document issued by a carrier to acknowledge the receipt of a cargo shipment from a shipper. This document includes information on the type and quantity of transported goods, route specifics, means of transportation, and more.

  

The presented model identifies essential fields and extracts pertinent information from this document type. The model accommodates various document variations, including Delivery Notes and Airwaybills, offering a versatile solution for diverse scenarios.

  

The Bills of Lading accelerator serves both as a foundation for additional training and as an adaptable resource tailored to suit the unique requirements of specific business processes.

  

The Document Understanding Solution Accelerators come equipped with [Specialized AI models](https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/out-of-the-box-pre-trained-ml-packages) tailored to particular document types. If a business wishes to refine these models to resonate more closely with a particular document variant in their unique operational context, the models can be further [trained](https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/quickstart-invoices-retrained-with-one-additional-field). With the groundwork firmly in place, the implementation time can be reduced by weeks.

  

The use of UiPath Document Understanding Models utilizes [UiPath AI Units](https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/metering-charging-logic).

This accelerator is an out-of-the-box ML model for seamless Bills of Lading form processing, retrieval, and validation.

A Bill of Lading is equivalent to a shipment receipt. Within the Shipping industry, it holds the status of a legal document issued by a carrier to acknowledge the receipt of a cargo shipment from a shipper. This document includes information on the type and quantity of transported goods, route specifics, means of transportation, and more.

The presented model identifies essential fields and extracts pertinent information from this document type. The model accommodates various document variations, including Delivery Notes and Airwaybills, offering a versatile solution for diverse scenarios.

The Bills of Lading accelerator serves both as a foundation for additional training and as an adaptable resource tailored to suit the unique requirements of specific business processes.

The Document Understanding Solution Accelerators come equipped with [Specialized AI models](https://docs.uipath.com/document-understanding/automation-suite/2023.10/user-guide/out-of-the-box-pre-trained-ml-packages) tailored to particular document types. If a business wishes to refine these models to resonate more closely with a particular document variant in their unique operational context, the models can be further [trained](https://docs.uipath.com/document-understanding/automation-cloud/latest/classic-user-guide/quickstart-invoices-retrained-with-one-additional-field). With the groundwork firmly in place, the implementation time can be reduced by weeks.

The use of UiPath Document Understanding Models utilizes [UiPath AI Units](https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/metering-charging-logic).

The IRS Tax Form 1040 is the primary document used by U.S. individuals to report their annual income and determine owed taxes or refunds. It captures various income sources, offers deductions and credits, and is periodically updated to reflect changes in tax law.

  

This accelerator processes the 1040 form and is equipped with the UiPath Document Understanding skill that can extract up to 58 commonly occurring data points from Form 1040 based on the tax year 2021. It's a ready-to-use, pretrained ML model. It sources 1040 documents from a data repository, digitizes, categorizes, and extracts their details before conducting business rule validations.

  

The Document Understanding Solution Accelerators come equipped with [Specialized AI models](https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/out-of-the-box-pre-trained-ml-packages) tailored to particular document types. If a business wishes to refine these models to resonate more closely with a particular document variant in their unique operational context, the models can be further [trained](https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/quickstart-invoices-retrained-with-one-additional-field). With the groundwork firmly in place, the implementation time can be reduced by weeks.

  

The use of UiPath Document Understanding Models utilizes [UiPath AI Units](https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/metering-charging-logic).

This accelerator is an out-of-the-box ML model for seamless 1040 tax form processing, retrieval, and validation.

The IRS Tax Form 1040 is the primary document used by U.S. individuals to report their annual income and determine owed taxes or refunds. It captures various income sources, offers deductions and credits, and is periodically updated to reflect changes in tax law.

This accelerator processes the 1040 form and is equipped with the UiPath Document Understanding skill that can extract up to 58 commonly occurring data points from Form 1040 based on the tax year 2021. It's a ready-to-use, pretrained ML model. It sources 1040 documents from a data repository, digitizes, categorizes, and extracts their details before conducting business rule validations.

The Document Understanding Solution Accelerators come equipped with [Specialized AI models](https://docs.uipath.com/document-understanding/automation-suite/2023.10/user-guide/out-of-the-box-pre-trained-ml-packages) tailored to particular document types. If a business wishes to refine these models to resonate more closely with a particular document variant in their unique operational context, the models can be further [trained](https://docs.uipath.com/document-understanding/automation-cloud/latest/classic-user-guide/quickstart-invoices-retrained-with-one-additional-field). With the groundwork firmly in place, the implementation time can be reduced by weeks.

The use of UiPath Document Understanding Models utilizes [UiPath AI Units](https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/metering-charging-logic).

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