NTT DATA will deploy SAP SuccessFactors and SAP Business Data Cloud across its global operations over the next 12 months, consolidating multiple legacy HR systems into a single platform. The integration, announced September 3, embeds SAP's AI copilot Joule directly into core HR workflows, a move that affects how the company's 150,000-plus employees access people data and make workforce decisions.
The rollout replaces fragmented tools with a unified repository for employee and talent data, connecting to existing service platforms and specialist workforce planning applications. For HR teams, the shift means fewer systems to maintain and a cleaner data foundation for analytics and reporting.
How AI fits into the HR stack
SAP's Joule orchestrator sits at the center of this integration, designed to surface data-driven insights and automate routine HR tasks. Rather than navigating multiple screens to pull headcount reports or check leave balances, managers and employees can query the system in plain language. The goal is to free HR staff from administrative work so they can focus on workforce strategy and employee development.
"The initiative reflects NTT DATA's view of talent as a strategic differentiator and AI as a capability that should be embedded across enterprise organizations," said Stijn Nauwelaerts, Chief People Officer of NTT DATA. The company's internal implementation will serve as a reference case for clients considering similar upgrades.
Implementation timeline and practical considerations
NTT DATA plans a 12-month deployment, drawing on its own systems integration expertise to tailor the platform. The phased approach allows for testing, data migration, and user training without disrupting ongoing HR operations. For organizations watching this rollout, the timeline offers a realistic benchmark - large-scale HR platform changes rarely compress into a single quarter.
Thomas Saueressig, Chief Customer Officer at SAP, said the project shows what happens when companies apply cloud and AI directly to employee experience. "With a unified, intelligent HR platform, the company will unlock new levels of productivity and scale a people strategy that supports a connected workforce worldwide," he said.
Still, HR leaders should note the resource demands. Data cleanup, system configuration, and staff training require sustained attention. NTT DATA's internal team will document these challenges, and the lessons learned may help smaller HR departments plan their own modernization efforts. The payoff - faster reporting, fewer errors, and better workforce visibility - depends on disciplined execution during the transition.
What the SAP-NTT DATA partnership means for HR teams
The collaboration combines SAP's cloud HR infrastructure with NTT DATA's implementation and change management capabilities. For HR professionals, the partnership signals that major system integrators are treating internal HR transformation as a priority, not an afterthought. The tools being deployed - AI-assisted querying, centralized people analytics, automated workflows - are the same ones filtering into mid-market and enterprise HR stacks.
HR departments evaluating their own technology roadmaps can look to this deployment for patterns: consolidate systems first, then layer AI on top of clean, unified data. AI for Human Resources training programs increasingly cover this exact sequence, from data readiness to AI-augmented decision-making. For senior HR leaders, structured learning paths like the AI Learning Path for CHROs address the strategic layer - workforce analytics, talent management, and the organizational change that technology alone cannot deliver.
Why this matters for human resources professionals
NTT DATA's internal project is a live case study in what happens when a large organization retires multiple HR systems for one AI-enabled platform. HR professionals can track the rollout to understand real-world timelines, training requirements, and the specific tasks AI handles well - and where human judgment remains essential. The key takeaway: AI in HR works best when it sits on top of unified, accurate data. If your people data lives in five different systems, start there. The AI layer comes second.
Your membership also unlocks:
