Title of the Talk
AI-Driven Workforce Optimization in Enterprise Contact Centers: From Static Planning to Continuous Operations.
Abstract
Enterprise contact centers are under growing pressure to optimize workforce operations across increasingly complex omnichannel environments spanning voice, chat, email, messaging, and social channels. Traditional workforce management approaches built on static planning cycles and retrospective analysis are no longer sufficient to meet the demands of real-time service delivery. This session presents a human-centered framework for AI-driven workforce optimization, examining how intelligent platforms can shift operations from fixed planning models to continuous, adaptive execution without sacrificing human judgment, fairness, or accountability. The presentation explores three foundational capabilities that define this shift. First, conversational AI interfaces democratize access to workforce intelligence by enabling operations managers and supervisors to query staffing data, identify scheduling gaps, and evaluate corrective options using natural language. Critically, AI does not act autonomously; it surfaces viable options with clearly articulated operational implications, and executes approved actions only after explicit human authorization, preserving full governance and trust. Second, the session examines threshold-based, multi-layer adherence monitoring as a continuous control mechanism. Rather than treating adherence as a retrospective metric, modern platforms integrate real-time alerts, inline schedule visibility, and configurable tolerance thresholds that distinguish true non-adherence from minor boundary variances. This approach improves fairness, reduces supervisory overhead, and recovers meaningful productive capacity at scale. The financial implications are quantified directly: improving adherence from 80% to 85% across 1,000 agents recovers approximately 2,000 additional contacts handled per day without increasing headcount. Third, the session addresses intraday forecasting as a predictive control mechanism. Empirical evidence suggests short-term forecasts lose reliability after eight to ten weeks, and even intraday projections degrade beyond approximately thirty-six hours. High-frequency recomputation using near-real-time data enables proactive interventions such as rescheduling training, rebalancing breaks, or adjusting queue assignments before service levels deteriorate.
Brief Profile
Vikas Prasad is a technology leader with over 20 years of experience driving enterprise contact center modernization, AI-driven customer experience innovation, and large-scale cloud migrations for Fortune 500 organizations. Currently serving as a Senior Solutions Architect at Amazon Web Services, Vikas has established himself as one of the foremost experts in Amazon Connect, delivering consistent business impact across banking, automotive, energy, retail, and telecom sectors. At AWS, Vikas has led some of the most consequential contact center transformations in the industry. He served as lead architect for a leading North American automobile manufacturers migration from Genesys to Amazon Connect, delivering significant cost savings, improved agent efficiency, and strong return on investment. As a strategic advisor to a major US banking institution, he spearheaded multiple transformation programs generating substantial productivity savings and revenue growth. His work with a large regulated power and utility provider further demonstrates his ability to navigate complex, regulated environments while delivering measurable business outcomes. Vikas is the Global Subject Matter Expert for Amazon Connect Forecasting, Capacity Planning & Scheduling, having driven impact across dozens of enterprise engagements and shaped the AWS product roadmap through a high volume of accepted product feature requests. His thought leadership extends to published AWS technical blogs, official AWS YouTube training videos, and speaking engagements at Contact Center Day, AWS PartnerCast, and Enterprise Connect, consistently earning strong audience reception and recognition from global partners and enterprise clients alike. Recognized as an AWS TFC Gold Member and Silver Member in consecutive years, Vikas has received formal commendations from Amazon Connect Product Management and enterprise account leadership. Beyond his technical contributions, he actively mentors engineers, judges innovation competitions, including the Georgia Tech Capstone Design Expo, and contributes to STEM education outreach in his community. Vikas holds a Bachelor of Engineering in Information Technology from Birla Institute of Technology, Mesra, and is a graduate of MITs Digital Transformation Program. He holds multiple AWS, Azure, PMP, and Java certifications and is a rare Certified VoiceXML Developer publicly listed by the VoiceXML Forum.