In a human-in-the-loop automation model, unattended robots perform processes automatically but pause and request user input when required. This model allows robots to handle repetitive and rule-based tasks while humans intervene in scenarios that require decision-making or approval.

UiPath supports human-in-the-loop functionality using tools such as UiPath Action Center , where users can review exceptions, provide additional data, or make business decisions. Once the input is received, the automation resumes and completes the rest of the process autonomously.

This model is particularly useful for processes involving compliance checks, approvals, or document verification — blending the speed of automation with human judgment where necessary.

The Application Tracker is a document used to record all system access requirements for an automation project. It lists the access needs for developers , robots , and testers across various environments — development , UAT , and production .

It captures details like system names, access levels required, request status, responsible teams, and timelines. This tracker is essential for coordinating with Client IT Teams and preventing delays due to access issues.

By maintaining a centralized record, the Project Manager and Infrastructure Engineer can track the provisioning process and ensure all technical resources have the access they need. This proactive documentation supports a smooth and timely execution of development and testing phases.

In UiPath Automation Hub , the Ease of Implementation score is calculated by assessing the complexity and resource requirements needed to automate a process. This scoring evaluates how difficult or simple it will be for the Implementation Team to build and deploy automation for the selected process.

Factors that influence the score typically include the number of applications involved, the applications’ automation-friendliness, exception variability, data structures, system reliability, dependencies, and required human interactions. It may also consider technical challenges such as OCR requirements, API availability, multi-system integrations, or unusual business rules.

A lower complexity with fewer resource dependencies results in a higher Ease of Implementation score, indicating the process is more suitable for rapid automation. Conversely, complex processes with numerous exceptions, unstructured data, or unstable systems may result in a lower score.

This scoring helps organizations prioritize automation opportunities by balancing potential value against implementation effort. It ensures that teams select automation candidates that deliver value quickly while maintaining reasonable development effort and resource allocation.

The Deployment and Hypercare stage involves the actual go-live of the automation solution and a subsequent period of close monitoring , known as Hypercare . During this phase, the Implementation Team ensures that the automation performs as expected in the live environment and addresses any post-deployment issues that may arise.

Key participants in this stage include the solution architect , project manager , and automation developers , who are responsible for monitoring system performance, user feedback, and handling production incidents. The Hypercare period also helps in building confidence with end-users and validating that all components are functioning in accordance with business expectations.

This stage is vital for a smooth transition to long-term support and operational stability. It also allows for minor optimizations and performance tuning before the project is officially closed.

The Project Manager is responsible for coordinating all implementation activities and managing project risks , timelines, and resources throughout the automation lifecycle. They serve as the primary point of contact between the Client Team and the Implementation Team .

Their key responsibilities include:

Defining and tracking project schedules

Managing communication among stakeholders

Facilitating meetings and escalations

Handling changes in scope, resources, or timelines

Monitoring deliverables and ensuring quality

The Project Manager ensures that the team adheres to UiPath’s methodology and that all phases — from Kickoff to Project Closure — are completed effectively. Their oversight ensures alignment, accountability, and timely delivery of the automation solution.

The Fourth model scenario in the UiPath Automation Implementation Methodology is the hybrid implementation model , where a client organization combines both UiPath capacity and an external partner to fulfill its automation implementation needs.

This model is especially beneficial for organizations that require scale , diverse expertise , or flexibility . For instance, a company may have internal limitations in resources or skillsets and therefore seek help from both UiPath and certified implementation partners to execute their automation initiatives effectively.

The hybrid model provides a flexible and scalable approach , enabling the client to leverage strengths from multiple providers. This setup also ensures that the client has access to cutting-edge UiPath capabilities while utilizing local or domain-specific partners for specialized execution.

The Process Definition Document (PDD) is created during the Process Analysis stage. This document is the output of a detailed analysis of the current (As-Is) process, conducted collaboratively by the Business Analyst , Solution Architect , and Client SMEs .

In this stage, workshops and shadowing sessions are conducted to gather insights into each step of the process, including decision points, exceptions, inputs, outputs, and system interactions. The purpose is to fully understand how the process works manually before planning automation.

The PDD is then used to validate scope, plan the To-Be design, and prepare for solution development. It serves as a foundational document that reduces ambiguity and ensures all stakeholders are aligned on what is being automated.

A key advantage of Robotic Process Automation (RPA) is its ability to interact with legacy systems without requiring major system changes or costly infrastructure upgrades. This is especially beneficial in large enterprises where legacy systems are deeply embedded in operations and cannot be easily modified or replaced.

RPA tools like UiPath operate at the user interface level , meaning robots mimic the way humans interact with applications—clicking buttons, entering data, reading screens—regardless of whether the underlying system is modern or legacy. This makes RPA non-invasive , meaning it doesn’t interfere with the backend code or require APIs or connectors to function (though it can use them when available).

This feature allows organizations to automate processes across mainframes, desktop-based applications, and other older systems where traditional integration is too complex or expensive. As a result, businesses can achieve automation and process efficiency without waiting for digital transformation or major IT investments .

In summary, RPA bridges the gap between old and new systems, allowing enterprises to innovate and optimize workflows without disrupting existing technologies.

The Process Definition Document (PDD) is created and finalized during the Process Analysis stage. It is one of the most critical documents in the automation lifecycle, as it outlines the As-Is state of the process to be automated in exhaustive detail.

The business analyst and solution architect collaborate with the Client Team to observe, document, and analyze how the process currently works. They identify variations, exceptions, input/output data, involved systems, and any manual interventions. This ensures the automation team has a clear understanding of the business process before creating the automated version.

Once the PDD is finalized and approved by all stakeholders, it becomes the baseline for building the To-Be automated solution. Any deviations from the PDD during development must be re-evaluated and approved. This document also informs other stages such as solution design, development, and UAT planning.

During the User Acceptance Testing (UAT) stage, the automation is tested in a business-like environment by end users to confirm that it meets the agreed-upon requirements and performs as expected under real-world conditions.

This phase is critical because it validates the automation's functionality, accuracy, reliability, and usability. End users — usually from the Client Team — execute test cases defined earlier, often based on the Process Definition Document (PDD) and UAT Plan .

If any bugs or discrepancies are identified, they are reported and fixed by the Automation Developer . Only after successful completion of UAT is the automation approved for deployment into the production environment. This stage ensures stakeholder confidence and minimizes risk before go-live.