Sushma Tripathi - The State of HCM: How HR Leaders are Modernizing People, Process and Technology in an AI- Enabled World

David Turetsky and Sushma Tripathi discuss where human capital management is headed, why HR modernization is harder than simply adding new software, and what leaders need to fix first. Sushma brings more than 25 years of HCM strategy experience across product, operations, staffing software, and advisory work, so the conversation stays grounded in what organizations are actually facing.In this episode, they focus on the shift from transactional HR to AI-enabled operations, the burden of process and technology debt, and why workforce management is becoming the backbone of modern HR transformation. 

Key topics 

• Sushma Tripathi’s background spans HR, benefits, actuarial work, product development, COO and CPO roles, and strategic advisory work, giving her a broad view of HCM change. 

• The industry is moving from transactional HR to more intelligent, integrated, AI-enabled operations. 

• Many organizations are stuck with fragmented processes, legacy systems, unclear ownership, and outdated configurations that no longer match current needs. 

• Process debt and technology debt are major blockers, especially when old workflows and old system settings keep surviving years of change. 

• Decision rights confusion is a recurring issue - HR, operations, finance, and IT often all touch the same workflows without clear ownership. 

• AI readiness is limited by data quality, governance, and change management, not by the AI tools themselves. 

• Workforce management is emerging as the anchor for operational excellence, especially around scheduling, labor models, compliance, productivity, and outcomes. 

• Employee self-service and manager self-service still matter, but users now expect experiences that feel as simple and intuitive as consumer apps. 

• Many organizations are asking whether to buy new technology or improve what they already have first. 

• Sushma emphasizes that HR is becoming a strategic operations partner, not just a people-management function. 

Timestamps 

00:32 - Welcome to the HR Data Labs podcast and introduction to the conversation 
01:44 - Sushma Tripathi’s 25-plus years in HCM strategy and leadership 
03:47 - A personal story about hiking and the challenge of Angels Landing 
06:25 - Transitioning into the real topic: HCM modernization and AI 
07:47 - Why HR is moving from transactional work to intelligent, AI-enabled operations 
09:59 - Process debt and technology debt are slowing organizations down 
11:57 - Why employee and manager self-service still matters 
14:52 - Why maturity level changes the pace of modernization 
16:52 - Where organizations should start when modernization feels overwhelming 
18:29 - How AI should fit into end-to-end workflows, not just isolated tasks 
19:24 - Why governance and data configuration are still foundational 
21:25 - Why every organization needs continuous operating-model revision 
22:33 - Cleaning, combining, and using data before expecting better outcomes 
23:03 - Baby steps, outside help, and why AI tools do not fix broken processes 
25:39 - Why workforce management is the biggest concern going forward 
26:02 - What workforce management includes beyond time tracking 
27:00 - Compliance, fines, penalties, and brand risk in workforce management 
28:28 - Closing thoughts and goodbye 

Notable quotes 

1. “Data quality, not AI, is actually the biggest barrier.” 
2. “Because just because you have a hammer, everything is not a nail.” 
3. “You can't just go into Chat GPT and say fix me.”