This week’s workforce management news points to AI taking on a bigger role in understanding the work behind customer interactions.
Most notably this week, SAP’s planned acquisition of TechWolf is a good example of this shift, aiming to give workforce decisions a more live, detailed view of the tasks people perform, the skills they use and where demand is changing.
For contact centers, that could help leaders see which capabilities sit behind successful customer conversations, where skills can transfer into new roles, and where support is needed most.
SAP’s wider Joule announcements build on that idea, with AI assistants designed to act within existing permissions, workflows and audit trails.
Customer enterprises have the opportunity here to connect workforce, customer and operational data so teams can spot issues and respond faster. However, this is only guaranteed for those who have the underlying data, skills frameworks, and governance to support it.
And from the end-user success side, IKEA offers a useful real-world contrast to the usual cost-cutting narrative.
Rather than following the ongoing trend of replacing contact-center employees with its Billie AI chatbot, Ingka Group retrained 8,500 people for more complex support and remote interior-design sales roles.
The result was not just fewer routine inquiries for advisors to handle, but a new sales channel reportedly worth $1.37BN in fiscal 2025.
For CX leaders, the question is becoming less about how many contacts AI can deflect. It is about which work should be automated, where human judgment adds the most value, and whether workforce planning is ready to support the transition.
SAP to Acquire TechWolf to Enhance Work Intelligence Strategy
SAP has announced its decision to acquire TechWolf as part of its HR and workforce AI strategy.
Revealing the news during SAP Connect 2026, this "work intelligence" strategy aims to replace job-title-based workforce decisions with a live picture of work, capability and demand.
TechWolf’s platform continuously maps the tasks people perform, the skills they use and possess, and external labour-market signals.
Its context graph for work connects that data to business strategy, giving leaders a more detailed view of how to redesign the workforce.
Manoj Swaminathan, president and chief product officer for SAP Autonomous Suite and member of the Extended Board of SAP SE, argued the platform would provide a grounding layer for WFM-specific AI agents.
“TechWolf’s proprietary context graph for skills and work provides an excellent grounding layer for agent queries regarding work and skills planning and talent management,” he said.
“This grounding layer perfectly matches our strategy. It makes token usage more efficient, lowers the cost of deploying workforce agents and will make Joule more intelligent in AI-driven HR scenarios such as skills-based hiring, workforce planning and role redesign.”
In contact centres, this could help leaders identify the skills behind successful customer interactions to uncover adjacent capabilities for new roles and target management closely.
SAP reportedly plans to use TechWolf to strengthen SuccessFactors and Joule in skills-based hiring, workforce planning and role redesign.