Applied AI Summit
Free online conference | October 14-16, 2025From Human Agents to GPU-Powered GenAI: A Data-Driven Transformation in Customer Service
As customer expectations soar, with 69% now demanding personalized experiences across 7.4 channels, customer service leaders are turning to GPU powered Generative AI (GenAI) as a transformative force in support operations. This talk examines the measurable performance and economic impact of GenAI systems versus traditional human agent models, offering actionable insights for enterprise leaders navigating this pivotal shift.
Enterprise implementations of GenAI have demonstrated a 30%+ reduction in average resolution time and up to 75% accuracy in response suggestion during initial rollouts, substantially outperforming legacy rule based systems. Case studies show that first contact resolution rates improve by 20 to 35%, while average handle times drop by over 20%, particularly in high volume environments with recurring support patterns.
On the economic front, GPU accelerated inference strategies such as batching, quantization, and knowledge distillation have driven per interaction costs as low as $0.01 to $0.05, compared to $40 to $60 per hour for skilled human agents. Scalability becomes instantaneous, with no recruitment or shift constraints, enabling 24/7 support availability at scale.
Yet, the success of GenAI hinges on the strategic integration of three pillars: Speed (sub second response times), Trust (contextually accurate, aligned outputs), and ROI (continuous performance measurement). Implementation best practices include phased rollouts, retrieval augmented generation, and structured readiness assessments across infrastructure, governance, and workforce domains.
This session offers a decision framework to identify optimal GenAI use cases such as technical case summarization and knowledge retrieval, while highlighting scenarios where traditional tools still yield better economics, especially in low volume or high judgment environments.
Attendees will leave with a roadmap for implementation, real world benchmarks on cost and performance, and insights into emerging trends like multimodal interaction and contextual grounding that will define the next generation of customer service.
About the speaker
Amaan Javed
Principal Applications Engineer at Meta
Amaan Javed is a highly accomplished Application Engineer (IC6) at Large Technology Company, with over a decade of experience in architecting large-scale enterprise systems and leading cross-functional initiatives that blend artificial intelligence, system architecture, and platform reliability. With a robust technical background and a strategic mindset, Amaan has consistently delivered high-impact, production-grade solutions that drive efficiency, scale, and business value.
At Large Technology company, Amaan leads transformative, AI-first initiatives across Reality Labs and internal enterprise operations. He has spearheaded the migration of legacy support systems to a unified cloud-native CRM platform, implemented multilingual microservices, and integrated GenAI capabilities to streamline customer support and HR processes. His work has led to substantial cost savings, improved agent productivity by over 30%, and enabled scalable experimentation and automation frameworks for GenAI-powered solutions. His innovations have saved over $27 million, reflecting his deep alignment with business objectives and operational excellence.
Previously, Amaan served as a Senior Principal Success Engineer at Salesforce, where he was pivotal in developing predictive observability platforms and modernizing support infrastructures for major clients like Cisco. His initiatives bolstered reliability across multi-tenant cloud environments, integrated real-time AI-driven alerts, and ensured seamless migrations at global scale. Earlier, at Accenture, he led proactive support and anomaly detection efforts in Salesforce’s core systems, significantly enhancing system reliability and client trust.
Amaan holds a Bachelor of Technology in Electronics & Communication from Dr. A. P. J. Abdul Kalam Technical University and completed a Full Stack Coding Program at UC Berkeley Extension. He is extensively certified across the Salesforce ecosystem, including credentials as a System Architect, Data Architect, and Platform Developer II.
Widely recognized for his leadership and technical acumen, Amaan has received accolades such as the Accenture Celebrates Excellence Award and Cisco’s Partner and On-the-spot Awards. His work reflects a rare combination of deep architectural knowledge, AI/ML integration, and a passion for enterprise innovation at global scale.