Prashant Farakate

AI-focused Business Analyst with 5 years of experience delivering enterprise AI products at Infor, spanning conversational AI, agentic workflows, and AI-powered document processing. Skilled in requirements elicitation, BRD/FRD documentation, prompt engineering, and LLM evaluation within Agile and SDLC frameworks. Improved document extraction accuracy from 78% to 98% and reduced processing latency from 60s to 40s through prompt optimization.

Business Analyst at Infor India Pvt. Ltd. (2022-05 – Present)

Business Analyst with focus on AI products

• Elicited and documented requirements for an enterprise conversational AI platform supporting agentic chat and AI-assisted workflows embedded across Infor ERP products.
• Defined functional specifications for multi-tenant architecture, ensuring scalable access control, usage tracking, and customer-specific feature enablement aligned with business requirements.
• Authored requirements for the AI agent tool ecosystem – how the agent selects and invokes the right tools (APIs, documents, MCP servers) based on user intent, with clear acceptance criteria per tool type.
• Defined ERP business context integration requirements enabling the AI agent to understand the user's active screen and deliver contextual, in-app responses and navigation guidance.
• Authored BRD/FRD and Technical Functional Specifications for document processing; conducted As-Is/To-Be gap analysis to identify automation opportunities and bridge ERP business logic with LLM/OCR capabilities.
• Defined detailed use cases and acceptance criteria, collaborating with UX teams to validate wireframes and mockups ensuring alignment with business needs.
• Designed and optimized prompt strategies and LLM configurations aligned with business scenarios, improving data extraction accuracy from 78% to 98% and reducing processing latency from 60s to 40s.
• Developed a Model Evaluation framework and Ground Truth datasets to identify error patterns, edge cases, and hallucination risks; defined KPIs including extraction accuracy, hallucination rate, and processing latency.
• Led sprint planning, backlog prioritization, UAT, and release sign-off within Agile/SDLC frameworks; led cross-functional collaboration across Product, Engineering, ML and QA teams; supported impact analysis, stakeholder management, and change management during feature rollouts.

Quality Assurance Analyst at Infor India Pvt. Ltd. (2021-04 – 2022-04)

Quality Assurance testing for web, API, and ML/GenAI models

• Performed Web, API, and load testing using Postman, pytest, and JMeter; validated ML and GenAI models for accuracy, performance, and reliability in document processing workflows.
• Managed defects in JIRA; maintained test cases in Zephyr; reported test metrics for release readiness.

Bachelor of Engineering in Mechanical Engineering – Tatyasaheb Kore Institute of Engineering and Technology (2017-08 – 2020-11)