For HR leaders, competing priorities define the role. They are expected to improve business performance and strengthen employee engagement at the same time, a dual mandate that few organisations have mastered.
The risks of getting it wrong are considerable: IDC research shows that when HR prioritises performance at the expense of engagement, skills deficits increase and revenue performance suffers. If leaders overcorrect, they risk losing clarity regarding goals and accountability.
People intelligence is the key to closing that gap. By using AI to link behavioural, experiential, and operational data, HR leaders can see not just what is happening in their organisations, but why. As Zachary Chertok notes in IDC’s report, this approach allows leaders to “connect human metrics to business value outcomes, giving HR a way to manage both without compromising either.”
What is people intelligence?
People intelligence is an AI-enabled discipline that combines workforce, skills, and business data to give HR and talent leaders real-time insight into performance conditions.
Unlike traditional people analytics, which often isolates engagement or productivity metrics, people intelligence connects them together so HR can deliver results that are both data-driven and people-centred.
Modern tools such as the People Intelligence application in SAP Business Data Cloud eliminate the high cost of data extraction and replication with a data cloud that automatically connects, harmonises, and governs data across all SAP applications, including HR, finance, supply chain, manufacturing, and more. It enables you to gain a comprehensive view of your organisation with an open data ecosystem that brings together structured and unstructured data from all sources, including external sources for industry benchmarks and market trends. This provides your HR team with self-service access to a business-friendly app featuring readily available dashboards and hundreds of HR metrics to track what matters most to your organisation across recruitment, skills, performance, and development—making insights available at every level, from individual teams to executive boards.
With this continuous feedback loop, HR can act more quickly: helping managers intervene early when engagement declines—and helping executives see how workforce investments affect financial performance.
Why it matters now
IDC’s 2025 research highlights a significant shift in HR strategy. Organisations are moving away from transactional workforce management and towards strategic, data-driven insight. Rather than focusing solely on processes or policies, HR leaders are using analytics to understand how engagement, capability, and performance interact and how those dynamics influence business results.
Key findings include:
- 71% of HR and people leaders are now using AI-enabled tools to contextualise workforce performance and engagement together
- 63% are exploring new and advancing use cases for AI-supported people analytics
- 96% are expanding performance models to include more context in reporting and frontline responses
These figures reveal a clear pattern: HR is moving from reporting outcomes to explaining them.
In practice, that means HR can now identify what is driving staff turnover, burnout, or low performance, as well as why those patterns occur and how to address them. When HR teams align engagement data with business objectives, they can deliver the right interventions at the right time, supporting both people and results.
IDC’s findings are remarkable. Organisations that use AI-enabled people analytics are 98% more likely to report higher employee satisfaction, 90% more likely to improve workforce performance, and 87% more likely to increase retention.
How people intelligence delivers real value
Using business AI to enhance analytics changes the way HR teams engage with data. Rather than reporting isolated metrics, HR can align business performance with workforce behaviour and provide strategic guidance across three levels of the organisation:
Empowerment of frontline staff
When employees and managers share visibility into engagement and performance insights, collaboration improves. IDC finds that companies using shared visibility models see a 66% likelihood of stronger connection, collaboration, and satisfaction on the front line.
Organisational insight
In the back office, HR can now centralise performance data and interpret changes in context. This makes it easier to understand why workforce KPIs change and how they are linked to business results. According to IDC, 63% of HR leaders are actively planning new AI-supported frameworks to achieve this integration.
Executive decision-making
For C-level stakeholders, people intelligence provides the “why” behind revenue trends. It shows how engagement, length of service, and satisfaction correlate with growth, enabling data-driven investment in talent strategies. Companies using people analytics are 75% more likely to see revenue increases from extended tenure and 54% more likely to see gains from improved engagement.
People intelligence in action: Five HR archetypes
Based on emerging trends in HR strategy, five leadership archetypes illustrate how people intelligence can help HR evolve from reactive management to proactive partnership. These archetypes reflect SAP’s perspective and are inspired by trends highlighted in the IDC report.
The insight-driven strategist
The insight-driven strategist uses people intelligence to translate workforce data into clear, actionable business guidance. This leader goes beyond reporting metrics—linking engagement, capability, and performance trends to the outcomes that matter most. By grounding people decisions in contextual, semantically rich data, insight-driven strategists help executives understand why workforce patterns shift and how talent investments influence growth, resilience, and long-term performance.
The human advocate
The human advocate helps ensure that people remain at the centre of every AI-enabled decision. This leader balances innovation with fairness, helping HR teams design processes that respect privacy, equity, and inclusion. Human advocates also guide communication regarding AI use, fostering employee trust through transparency.
The change navigator
The change navigator guides organisations through digital and cultural transformation. These leaders combine empathy with structure so teams can adapt to new tools, workflows, and expectations. They recognise that successful AI adoption depends on trust and brings clarity to transitions that might otherwise feel disruptive.
The compliance partner
The compliance partner safeguards the organisation against regulatory and ethical risk. They assist HR, legal, and technology teams in complying with labour laws and data protection standards across regions.
The capability builder
The capability builder develops the workforce for the future. By using people intelligence to identify emerging skill needs, this archetype designs learning pathways that prepare employees for changing roles and technologies.
The way forward
While the benefits are clear, IDC notes that 54% of HR teams still resist adopting AI-enabled people analytics due to limited training or uncertainty about data management. Many lack experience in interpreting large data sets or integrating analytics into day-to-day decision-making.
Success, IDC emphasises, requires partnership between HR and technology providers. For example, human capital management software can support HR teams through training, process design, and change management. By combining technology with upskilling, HR can bridge the confidence gap and fully harness AI for ongoing workforce planning and engagement.
HR’s next chapter will be defined by organisations that treat people intelligence not as a toolset, but as a mindset that values transparency, trust, and shared success. To see how leading companies are making that happen, read the full report.
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