SAP's planned acquisition of TechWolf is SAP buying a better way of understanding the work people actually do.
HCM systems have traditionally relied heavily on structured data. Job requirements, qualifications and declared skills tell us what a role requires and what an employee has formally attained.
They don't tell us what someone is actually doing, how their role is changing or which capabilities appear to matter most in practice.
TechWolf infers that from work data. SAP has said it will become an intelligent core component of SuccessFactors and help provide context for its AI agents.
The implication is that job requirements themselves could become more dynamic.
Instead of defining a role once, based mainly on formal job design, organisations may increasingly be able to see which capabilities are actually associated with success in that role, and how that changes over time.
That could feed directly into job design, workforce planning, internal mobility and hiring.
Core HR still needs to remain authoritative for employment and job data. But the definition of what a role requires may increasingly be informed by inference as well as formal design.
And that raises a harder question: if employers can continuously infer what makes someone successful in a role, how far should they go in using that information to make decisions about people?