Vaibhav Aggarwal

• Analyze complex business processes across enterprise functions to identify automation and AI transformation opportunities using RPA, Document Understanding, Intelligent OCR, Machine Learning, and Generative AI capabilities.
• Conduct process discovery workshops with business stakeholders, SMEs, and technology teams to assess current-state workflows, identify pain points, define automation feasibility, and prioritize high-value automation opportunities.
• Translate business objectives into detailed functional and non-functional requirements, including AI model inputs, expected outputs, business rules, exception handling scenarios, validation criteria, and acceptance criteria.
• Define and document AI-driven use cases, including:

a) Document classification and intelligent routing,

b) Data extraction from structured and unstructured documents.

c) AI-powered summarization of business content.

d) Knowledge retrieval and decision-support solutions using Generative AI.

• Create comprehensive automation documentation, including Process Definition Documents (PDD), Solution Design Documents (SDD), Business Requirements Documents (BRD), user stories, process maps, workflow diagrams, and acceptance criteria.
• Partner with RPA developers, solution architects, and business teams to translate requirements into scalable automation solutions, aligned with enterprise architecture and governance standards.
• Evaluate automation opportunities by assessing process complexity, transaction volumes, business impact, technical feasibility, AI applicability, and expected ROI.
• Collaborate with development teams during solution design, development, testing, and deployment phases to clarify requirements, resolve functional gaps, and ensure successful delivery.
• Define AI solution evaluation criteria, including accuracy expectations, confidence thresholds, human-in-the-loop requirements, exception management, data quality considerations, and performance metrics.
• Support User Acceptance Testing (UAT) by preparing test scenarios, validating AI outputs, coordinating stakeholder feedback, and ensuring solutions meet business acceptance criteria.
• Drive continuous improvement initiatives by identifying opportunities for process optimization, AI augmentation, and automation scalability across business operations.

• Led the automation strategy and roadmap for mid-to-large-scale business functions, implementing RPA solutions combined with IDP/OCR, AI, APIs, analytics, Gen AI solutions, and workflow orchestration that improved operational efficiency and enabled digital workflow optimization for multiple clients.
• Worked closely with process excellence teams to redesign inefficient workflows before automation, ensuring we optimized processes instead of automating inefficiencies.
• Worked on automation initiatives involving:

a) Process assessment and feasibility analysis.

b) Opportunity identification.

c) PDD creation.

d) Collaboration with solution architects and developers.

e) UAT and hypercare support.

f) Governance and ROI tracking and Maintain RAID Log

• Conducted stakeholder workshops, captured process flows, identified bottlenecks, exceptions, SLA issues, and manual dependencies, and analyzed applications, systems, and data touchpoints for AS-IS analysis of the process.
• Worked on eliminating non-value-added activities, standardizing workflows, introducing automation opportunities, defining exception handling, and improving controls and compliance to arrive at the TO-BE state of the process.
• Ensured that the To-Be state aligns with scalability, maintainability, and business KPIs.
• Ensured the provision of a strong Process Design Document to provide complete business clarity to the technical team, with full traceability, while doing appropriate synchronization and approval with business teams.
• Followed the SAFE Agile methodology for the deliverables.
• Implemented IADLC (Intelligent Automation Development Lifecycle) for the timely delivery of automation solutions.
• Design Gen AI use cases in document summarization, knowledge extraction, chatbot automation, and predictive analytics.
• Identified and evaluated automation opportunities, engineered and deployed solutions, and monitored performance to optimize process efficiency across multiple functions.
• Collaborated with enterprise architects to identify and integrate intelligent platforms, including UiPath, Automation Anywhere, Azure OpenAI, and Power Automate.
• Presented successful project outcomes to internal and external stakeholders, enhancing cross-functional collaboration, and facilitating knowledge sharing.

• Led intelligent automation pipeline design for global operations across finance, legal, and risk verticals, and tracked all ideas in the UiPath Automation Hub Tool.
• Drove the Citizen Developer enablement program using a low-code, no-code tool: UiPath StudioX; onboarded over 50 business users as bot creators, which reduced manual workload by approximately 10,000 hours and resulted in a significant improvement in compliance and SLAs.
• Guided and led business analysts in producing comprehensive documentation, including PDDs, user stories, and process maps, enhancing team proficiency and documentation standards.
• Conducted cost-benefit analyses, and coordinated governance for automation intake and prioritization.

• Facilitated discovery workshops and process deep-dives, identified automation and reengineering opportunities, and delivered effective automation solutions using UiPath for a U.S. healthcare client.
• Achieved approximately 10 FTE savings by optimizing multiple business processes.
• Collaborated with SMEs, developers, and QA teams throughout the automation lifecycle, ensuring alignment on project goals and quality standards.
• Partnered with vendors to establish mutually beneficial relationships that drove process innovation, while maintaining cost-effectiveness.

• Prepared BRDs/PDDs, led technical feasibility checks, and developed effort estimations to support project delivery.
• Ensured AS-IS to TO-BE transitions were streamlined and conducive to automation.
• Delivered accurate reporting solutions that minimized manual errors, achieving approximately 10 FTE savings.

• Executed end-to-end automation projects for clients in telecom, energy, and healthcare, enhancing operational capabilities, and resulting in 15 FTE savings and process throughput improvements by 70%.
• Developed documentation templates and established governance protocols to streamline RPA lifecycle management.
• Supported technical design documentation, SIT/UAT processes, and change management to ensure project alignment with client requirements.
• Actively participated in team meetings to share knowledge, exchange ideas, address challenges, and collaborate on potential solutions.