Semos Cloud at SAP Sapphire: AI-native engagement layer for SAP customers

If your organization runs SAP SuccessFactors, you already have more people data than most HR teams know what to do with. Organizational hierarchies, payroll records, performance signals, recognition events, survey responses, and communications engagement data, all of it governed, structured, and sitting inside an environment you trust. The data was always there. What was missing was the layer that could connect those signals and act on them together. Without it, recognition behavior could never correlate to attrition risk. Pay equity analysis arrived weeks after the compensation decisions it should have informed. Culture moved, and the systems that measured it stayed still.

Building that intelligence layer inside the SAP environment, rather than on top of it, is what Semos Cloud has been working toward for 10 years as the People and Culture Intelligence Platform for the SAP ecosystem. Used by SAP itself and more than 150 large enterprises across the world, our solutions run natively in SuccessFactors, carry eight years of continuous SAP BTP certification, achieved SAP Spotlight+ Partner designation in 2025, and received Built with SAP Business AI certification this year.

That depth of integration is what brings us to Sapphire 2026 with the most significant launch in our company’s history. At its core are 24 production AI agents built natively on the SAP Business AI Platform, developed as one of the winning ISVs in SAP’s Agent race to Sapphire initiative.  

This release also delivers Semos IQ, the engagement layer that connects those agents to every surface in the enterprise, and a new generation of autonomous HR programs that remove the distance between HR intent and outcome.

Three innovations. One intelligent platform.

At Sapphire 2026, Semos Cloud becomes the first ISV with a complete agentic suite aligned with SAP’s AI Golden Path for enterprise AI. What that means in practice: 24 production agents, a new engagement layer, and a new operational model for HR programs, all reasoning on the same governed data foundation, as part of SAP’s Agent race to Sapphire initiative.

The agents span the full spectrum of where people and culture work happens, across four capability areas:

• Social recognition and rewards: peer recognition, nominations, celebrations, redemptions, and a Message Quality Indicator that raises the standard of recognition at the moment it happens. Every appreciation moment becomes structured, queryable organizational data that feeds the same Knowledge Graph every other agent draws from.

• Employee experience, listening, and communications: targeted broadcast communications, pulse and lifecycle surveys, sentiment analysis, and conversational listening that reaches deskless and shift-based workers. They close the loop between what HR sends and how the workforce actually responds, surfacing sentiment trends in real time rather than at the end of a quarterly cycle.

• Manager effectiveness and development: meeting intelligence with a Signals Engine, feedback, coaching, career and growth, skills, and development planning agents that augment managers with real-time behavioral context. Every manager conversation becomes a structured data point. The platform surfaces what is actually happening across teams, not what managers choose to report.

• Total rewards, benefits, and pay equity: compensation simulations, pay transparency, AI-assisted remediation, and benefits agents that move total rewards from a reporting function to an action function. Equity monitoring runs continuously with jurisdiction-ready reports ahead of the EU Pay Transparency Directive coming into effect.

All 24 agents are Joule-compatible, pro-code, and built on the full SAP Business AI Platform stack including SAP BTP, SAP AI Core via GenAI Hub, SAP Joule via A2A, MCP Servers, and SAP HANA Knowledge Graph. They ship with a dedicated mission on the SAP Discovery Center, making them discoverable and deployable directly on SAP property alongside their full deployment patterns.

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Semos IQ: where the intelligence enters the flow of work

Intelligence that lives in a platform but never reaches the people who need it is not intelligence at all. Semos IQ is the engagement layer that closes that gap. It surfaces more than 50 behavioral signals from across the agent suite directly in the user’s environment, including recognition gaps across teams, meeting sentiment shifts, and communications engagement decline tracked against an employee’s personal baseline.

Agents act on those signals with the human always in the loop: identifying, suggesting, drafting, recommending. The user reviews, refines, approves. And because native means interoperable across the entire enterprise stack, Semos IQ delivers that experience through SAP Joule via A2A and through MCP-compatible copilots including Microsoft 365 Copilot and Claude.

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Autonomous programs: HR intent translated into running operations

The third innovation changes what HR administration looks like at scale. Your HR team describes the outcome they want. The platform translates that intent into a running program grounded in the organization’s actual data, with agents executing, monitoring, and adapting as conditions shift. The program runs, learns, and improves continuously. This is what AI-native means at the operational level: not automating tasks but removing the distance between intent and outcome entirely.

Three programs are shipping through 2026:

• Autonomous Recognition Program for Frontline Workers: shift-aware, multilingual, and team-lead facilitated, so recognition reaches the workers who are hardest to reach through traditional HR channels.

• Autonomous Onboarding Communications Program: runs on cohort integration patterns, with automatic escalation when new hire integration health drops below threshold.

• Autonomous Engagement Campaign Program: turns listening signals into coaching journeys and intelligent nudges, closing the loop between what the workforce signals and what HR does about it.

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AI-native architecture: built-in, not bolted on

What separates AI-native from AI-assisted is not the number of agents or the sophistication of the models. It is whether the intelligence is grounded in the full enterprise context, or only in the fraction of data a standalone tool can see. On SAP, that comes down to two things: where the intelligence lives, and how it reaches every surface in the enterprise.

The first starts with SAP Business Data Cloud. In a recent case study with IDC, we described it as the connective tissue that finally brings HR, culture, and real-time work data into one coherent model, removing the data plumbing barriers that have held enterprise HR analytics back for years.  

Built on top of that, the SAP HANA Knowledge Graph is the semantic layer that makes that unified data intelligible to AI, capturing the relationships between business objects and making them explicit, governed, and queryable. Together with the SAP Partner AI Innovation Team, we have grounded the Semos Cloud people and culture intelligence layer in the SAP HANA Cloud Knowledge Graph, correlating recognition behavior, organizational structure, compensation data, performance signals, and culture indicators so every agent reasons within the same enterprise context. Every new signal enriches that layer for every other agent.

For organizations running SAP, this means people intelligence inside the same governed foundation as the rest of their SAP estate, with full auditability and no third-party AI stack between their data and the agent.

The second is the interoperability layer. MCP Servers expose the full Semos Cloud agent suite to any tool in the enterprise stack that supports the Model Context Protocol. A2A integration connects all 24 agents directly to SAP Joule, enabling native agent-to-agent workflows inside the SAP environment. Together, MCP and A2A mean that the intelligence Semos Cloud produces is accessible wherever work happens, through whatever system the enterprise already runs.

The best evidence that this architecture works is where it runs today. SAP uses Semos Cloud internally as SAP Appreciate, its enterprise recognition platform, and SAP CommsHub, its HR and executive communications platform, across 100,000 employees. In 2025, 500,000 recognitions were processed on the platform. The governed data foundation, the interoperability layer, the agentic suite: all of it already running at SAP scale.

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Culture at the speed of the business: from lagging metric to live signal

When organizational data connects at this depth, a new category of insight becomes available.

Culture intelligence, as we define it, is continuous and behavioral. Drawn from recognition patterns, communications engagement, meeting signals, and manager effectiveness data, it reflects what is actually happening across the organization in real time. Predictive rather than reactive. Structural rather than anecdotal. A decline in recognition frequency across a team over three weeks correlates with early attrition risk. That signal is visible in the Knowledge Graph before any survey goes out, before any exit interview is scheduled.  

For SAP customers who have long relied on point-in-time surveys and retrospective dashboards, this represents a material change in what people intelligence can deliver.

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People and culture intelligence that changes what HR can deliver

The organizational outcomes that become possible when intelligence is this deeply embedded are fundamentally different from what point solutions can produce.

Managers who act on real-time culture signals retain talent more effectively. Recognition programs that reach frontline and deskless workers drive measurable improvements in workforce engagement and belonging. Listening programs grounded in continuous sentiment data replace point-in-time surveys with signals that are already visible before attrition risk becomes attrition reality. Compensation decisions grounded in live pay equity intelligence reduce legal and reputational risk.  

Organizations that can see culture as a continuous behavioral signal rather than an annual measurement build the kind of environment that attracts and keeps the people who drive performance.

This is what AI-native on SAP means in practice: the SAP HANA Knowledge Graph as the as the semantic intelligence layer, A2A and MCP as the interoperability layer that connects intelligence to every surface in the enterprise, and agents that compound with every signal rather than operate in isolation. Intelligence built into the foundation of the SAP environment, not layered on top of it.

The organizations that will lead the next decade of work are not the ones with the most HR data. They are the ones whose intelligence infrastructure can turn that data into decisions before the moment passes. For the enterprises that make that shift, HR stops being a function that reports on culture and starts being the system that shapes it.

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