People intelligence: Guiding HR in the age of AI

For HR leaders, competing priorities define the job. They’re expected to improve business performance and strengthen employee engagement at the same time, a dual mandate that few organizations have mastered.

The risks of getting it wrong are considerable: IDC research shows that when HR prioritizes performance at the expense of engagement, skills deficits rise and revenue performance suffers. If leaders overcorrect, they risk losing clarity around goals and accountability.

People intelligence is the key to closing that gap. By using AI to link behavioral, experiential, and operational data, HR leaders can see not just what’s happening in their organizations, 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 links them together so HR can deliver results that are both data-driven and people-centered.

Modern tools like 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, harmonizes, and governs data across all SAP applications, including HR, finance, supply chain, manufacturing, and more. It allows you to gain a holistic view of your organization 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 gives your HR team self-service access to a business-friendly app with readily available dashboards and hundreds of HR metrics to track what matters most to your business 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 faster: helping managers intervene early when engagement dips—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. Organizations are moving away from transactional workforce management and toward strategic, data-driven insight. Rather than focusing only 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 contextualize workforce performance and engagement together
• 63% are exploring new and advancing use cases for AI-backed people analytics
• 96% are expanding performance models to include more context in reporting and frontline responses

These numbers reveal a clear pattern: HR is moving from reporting outcomes to explaining them.

In practice, that means HR can now identify what’s driving 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 striking. Organizations that use AI-enabled people analytics are 98% more likely to report stronger employee satisfaction, 90% more likely to improve workforce performance, and 87% more likely to boost retention.

How people intelligence delivers real value

Using business AI to enhance analytics changes the way HR teams engage with data. Rather than reporting disconnected metrics, HR can align business performance with workforce behavior and provide strategic guidance across three levels of the organization:

Frontline empowerment

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 frontline.

Organizational insight

In the back office, HR can now centralize performance data and interpret changes in context. This makes it easier to understand why workforce KPIs shift and how they link to business results. According to IDC, 63% of HR leaders are actively planning new AI-backed frameworks to achieve this integration.

Executive decision-making

For C-level stakeholders, people intelligence provides the “why” behind revenue trends. It shows how engagement, tenure, 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—connecting 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 center 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 around AI use, fostering employee trust through transparency.

The change navigator

The change navigator leads organizations through digital and cultural transformation. These leaders combine empathy with structure so teams can adapt to new tools, workflows, and expectations. They recognize 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 organization against regulatory and ethical risk. They help HR, legal, and technology teams comply with labor 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 path 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 interpreting large data sets or integrating analytics into day-to-day decision-making.

Success, IDC emphasizes, requires partnership between HR and technology providers. For example, human capital management software can support HR teams through education, process design, and change management. By pairing technology with upskilling, HR can close the confidence gap and fully leverage AI for continuous workforce planning and engagement.

HR’s next chapter will be defined by organizations 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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