UiPath UiPath-ABAAv1 - UiPath Automation Business Analyst Associate Exam (2023.10)

TheStatement of Work (SOW)captures theinitial agreementbetween theClient Teamand theImplementation Team. It defines thehigh-level scope,project timelines,responsibilities,deliverables, andengagement termsfor the automation project.

The SOW is usually prepared before or during theKickoff stageand serves as theformal agreementthat sets expectations for all stakeholders. It provides clarity on:

What is to be delivered

By when

By whom

Under what conditions

Having a well-defined SOW is essential to avoid scope creep, timeline mismanagement, or resource conflicts. It also helps align both parties and acts as a reference point throughout the project’s lifecycle.

During theProcess Analysisstage, the following three key roles from the Implementation Team are involved:

Solution Architect

Project Manager

Business Analyst

Each role brings a unique perspective and responsibility to the analysis. Thebusiness analystfocuses on understanding the business goals and documenting theAs-Isprocess. Thesolution architectevaluates the process from a technical standpoint to identify automation opportunities and potential roadblocks. Theproject manageroversees the planning and timelines to ensure alignment with the broader project goals.

This collaborative analysis results in a comprehensive and well-documentedProcess Definition Document (PDD), which becomes the foundation for the subsequent design and development phases. This stage is critical to ensuring that the correct processes are chosen for automation and that the team is aligned on the scope and expectations.

InUiPath Automation Hub, theEase of Implementationscore is calculated by assessing thecomplexityandresource requirementsneeded 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 organizationsprioritize automation opportunitiesby 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.