Kesavan Purushothaman

• Built Copilot Studio agents for HR automation in government entity
• Led GenAI/Agentic AI consulting, aligning with KPIs/ROI.
• Designed demos/PoCs with Copilot Studio, OpenAI, enterprise systems across 5+ projects.
• Created Agentic AI PoCs for banking, CX, RFP responses in HR/insurance domains.
• Prioritized high-impact use cases, boosting CX metrics
• Developed LLM/API workflows integrated with RPA/CRMs, cutting manual review by 40%.
• Crafted reusable prompts/templates, reducing delivery time by ~30%.
• Trained cross-functional teams (10+ members) in AI, prompt engineering, solution design.
• Supported pre-sales with proof-of-value assets, enabling $5M pipeline opportunities.
• Aligned AI with KPIs/ROI/governance as SME, improving accuracy 25% via RAG.

• Strategic AI Transformation: Orchestrated enterprise-wide AI transformation for government entities by architecting
autonomous HR automation ecosystems, optimizing cross-departmental process efficiency and employee service
delivery.
• Advanced Agentic Orchestration: Designed complex multi-agent system architectures utilizing Supervisor and
Adaptive Network patterns to handle task decomposition, autonomous decision-making, and high-stakes tool
invocation in regulated environments.
• Strategic Advisory & Governance: Directed Generative and Agentic AI consulting engagements, establishing
architectural standards and governance frameworks that aligned autonomous agent deployments with corporate KPIs
and ROI targets.
• Cloud-Native Solution Architecture: Engineered production-grade, multi-domain GenAI architectures leveraging
Azure OpenAI and Copilot Studio across global banking, insurance, and CX sectors.
• Systems Integration & Interoperability: Engineered end-to-end automation by integrating AI Agents into core
enterprise systems of record (CRM, ERP, HCM), ensuring seamless data flow and process continuity.
• Operational Excellence & Impact: Delivered significant operational uplift, including a 40% reduction in manual
oversight and a 25% improvement in model precision through the deployment of advanced RAG pipelines and
document intelligence.
• Enterprise Risk & Guardrails: Established robust AI safety and monitoring architectures, including centralized prompt
guardrails, policy enforcement layers, and comprehensive audit logging for compliance.
• Accelerated Delivery Frameworks: Developed a proprietary library of reusable Agent prompt frameworks and AI
architectural templates, reducing enterprise time-to-market for new AI use cases by 30%.
• Lifecycle Management & Leadership: Spearheaded the full AI lifecycle from strategic discovery and PoV through to
pilot and global production rollout, managing stakeholder expectations at every tier.
• Organizational Capability Building: Upskilled and mentored a center of excellence consisting of 10+ cross-functional
professionals in Agentic design patterns, prompt engineering, and LLM evaluation strategies.
• Revenue & Growth Enablement: Scaled the pre-sales AI function by engineering high-impact proof-of-value
architectures, directly enabling a $5M+ business pipeline.

• Architectural Leadership & Platform Strategy: Directed a cross-functional AI engineering team in the design and
deployment of enterprise-grade Conversational and Generative AI platforms, standardizing AI delivery across BFSI
and HR sectors.
• Hybrid Intelligence Design: Engineered sophisticated AI solutions that harmonized intent-based dialog with LLM
reasoning and Agentic workflows, enabling the resolution of complex, multi-step enterprise use cases.
• Document Intelligence & Process Optimization: Architected GenAI-powered document intelligence systems using
Azure OpenAI, successfully automating high-volume workflows and reducing manual document processing time by
40%.
• Knowledge Engineering & Information Retrieval: Designed and scaled RAG-based conversational search
architectures leveraging Azure AI Search (formerly Cognitive Search), achieving a 25% improvement in enterprise data
retrieval precision.
• Enterprise Ecosystem Integration: Spearheaded the integration of large-scale AI programs with a diverse stack of
enterprise systems (CRM, HRMS, ERP, and Ticketing), streamlining end-to-end organizational workflows.
• Operational Governance & COE Establishment: Defined and enforced enterprise-wide best practices for dialog
design, prompt engineering, and LLM evaluation, resulting in a 20% increase in overall engineering efficiency.
• Risk Mitigation & AI Safety Frameworks: Introduced a robust Agent Governance layer, incorporating confidence
scoring, fallback logic, audit logging, and human-in-the-loop (HITL) controls to ensure safe AI deployment.
• Technical Mentorship & Talent Scaling: Mentored a community of architects and developers in GenAI and Agentic
design patterns, significantly accelerating onboarding and maturing the organizations AI technical capabilities.

• Architected 10+ Conversational AI solutions across BFSI, manufacturing, and retail.
• Designed voice, chat, and Teams bots, improving CX metrics by ~30%.
• Monitored and optimized NLP models, raising intent accuracy from 75% → 90%.
• Delivered multilingual employee chatbot, increasing adoption.
• Built voice-based dealer chatbot, cutting parts inquiry time by 50%.
• Created Digital Human solution, boosting engagement in public channels.
• Established EYs Contact Center AI practice

• Practice Leadership & Strategic Advisory: Spearheaded the establishment of EYs Contact Center AI practice,
defining the global delivery standards, governance frameworks, and multi-channel integration strategies for
high-stakes enterprise clients.
• Enterprise AI Roadmap & Architecture: Architected over 10 enterprise-grade Conversational AI ecosystems for global
BFSI, manufacturing, and retail clients, leveraging LLMs to modernize multi-channel customer interactions.
• CX Transformation Strategy: Advised C-suite stakeholders on digital transformation roadmaps, deploying voice,
chat, and Microsoft Teams solutions that improved customer and employee experience metrics by approximately
30%.
• Performance Governance & Model Optimization: Established rigorous model evaluation and optimization protocols
for NLP and GenAI, successfully raising intent recognition accuracy from 75% to 90% across diverse use cases.
• Hyper-automation & Operational Strategy: Drove enterprise efficiency by integrating conversational agents with
RPA, automating high-volume repetitive tasks and securing an annual saving of approximately 1, 500 hours.
• Industry-Specific AI Innovation: Directed the development of specialized solutions, including a voice-based
automotive dealer bot that reduced inquiry response times by 50% and a first-of-its-kind Digital Human AI for
public-facing engagement.
• Global Scalability & Inclusivity: Led the design and rollout of multilingual employee chatbots, ensuring architectural
scalability and driving high adoption rates across geographically dispersed global teams.
• Data-Driven Insights & Analytics: Engineered comprehensive analytics dashboards and reporting frameworks to
monitor AI performance, enabling stakeholders to improve issue resolution speed by 30%.
• Organizational Capability Building: Acted as a senior technical mentor, standardizing prompt engineering and
multi-modal design methodologies to enhance internal capabilities and drastically reduce developer onboarding time

• Cross-Functional Platform Strategy: Directed the design and deployment of a multi-functional AI ecosystem across
HR, IT, and Finance, centralizing operations and elevating enterprise-wide employee engagement.
• Strategic Capability Benchmarking: Spearheaded the launch of the inaugural employee virtual assistant, establishing
a high-performance benchmark used as a flagship demonstration for external client consulting engagements.
• Architectural Standardization: Engineered a reusable chatbot architecture on Azure AI, creating a scalable foundation
that accelerated the deployment of new solutions and reduced engineering effort by 25%.
• Global Scalability & Localization: Architected multilingual and domain-specific conversational flows to support global
operations, ensuring seamless engagement across a diverse international workforce.
• AI Center of Excellence (CoE) Governance: Institutionalized best practices for the AI lifecycle, incorporating model
monitoring, continuous optimization, and enterprise-grade governance frameworks.

• Developed web Application using .Net framework and SQL Database
• Trained a team of 10+ young talents in RPA tools - Automation Anywhere and Accentures Robotic Platform
• Implemented RPA use cases - Form filling from Excel, SAP Processes and Automated Ticket Resolution using
Automation Anywhere 10.5 tool
• Created AI Chatbot for FAQs and troubleshooting using Microsoft Bot Framework V3 and Azure AI Cognitive Services

• Implemented Plugins and Extensions for Business Use Cases in Internet Explorer, Chrome, Mozilla and Microsoft
Word
• Delivered XSLT transformation project converting millions of XML files to HTML files for a publication leader
• Supported the web applications built in DotNet frameworks.