Agentic AI and SAP Licensing: How the Consultant Role Is Evolving

“The most valuable companies will empower people, not delete them,” Peter Thiel, Co-Founder of Palantir Technologies.

From the perspective of an SAP licensing consultant, agentic AI does not seem so much like a threat as a change in the way consultants perform and deliver value. There is no longer any discussion about whether AI will impact consultants’ work, it is already happening. The main question is how we, as consultants, adapt and where our expertise remains essential.

SAP licensing has always been a combination of technical skills, contract understanding, and business acumen. It is not just about counting users or tracking metrics, but about understanding how a company uses SAP systems and how it applies complex licensing rules. In this context, agentic AI is starting to show both its benefits and limitations.

Where Agentic AI Adds Immediate Value

From a practical standpoint, AI can already take over a large portion of repetitive tasks, such as:

• Analyzing how users interact with the system
• Assigning users to license types
• Checking for indirect usage
• Parsing and cleaning inconsistent system outputs
• Extracting contractual definitions and selected clauses from lengthy contracts
• Drafting deliverables and sketching data visualizations
• Optical recognition of legacy contracts and their translation
• Summarizing findings in a concise manner

Automation at Scale: Benefits and Limitations

These processes are based on data, plain language instructions, and clear rules, making them well suited for agent-based systems to rapidly analyze large volumes of data, identify issues, and suggest improvements based on existing datasets or SAP rules and software usage rights. The same applies to audits: data collection and verification, as well as documentation preparation, can be completed faster and in a more structured way. However, as LLMs are essentially “probability machines,” the most common answers are not always correct. In addition, AI can hallucinate when a clear answer is missing, which makes human fact-checking and quality assurance indispensable. Responsibility must ultimately lie with humans, not lines of code.

The Complexity of SAP Contracts

Therefore, licensing is not just a technical process. The real challenges arise from ambiguity in SAP contracts and the deliberate omission of clear definitions. For example, two companies may have similar technical landscapes but different contractual obligations depending on how their agreements were negotiated. While AI can extract information from documents, it struggles to understand context, intent, or informal agreements.

Even the most advanced models may hallucinate when lacking sufficient context. This is particularly evident in audits, where AI can flag compliance issues but cannot engage with stakeholders, assess risks in human terms, or negotiate. LLMs cannot determine when it is appropriate to challenge an interpretation or when it is better to accept a compromise. These skills go beyond text analysis and are built on experience, judgment, and the ability to navigate ambiguity or gaps in enforceability. AI and agentic workflows are tools, not decision-makers willing to put professional reputation and accountability at stake.

Why Human Judgment Still Matters

There is also a significant human element. Licensing discussions rely heavily on interpersonal dynamics, as they often involve tense negotiations between internal departments or between the customer and SAP. Managing these situations requires communication, trust, and the ability to interpret findings that are not immediately obvious from the data.

In this context, the role of the SAP licensing consultant is evolving. As AI takes over data analysis and, to some extent, document review and research, the focus shifts toward interpretation, advisory work, and strategy. Consultants spend less time on routine technical tasks and more time helping clients make informed and effective decisions.

Over-reliance on automation can be risky, as demonstrated by legal cases dismissed due to ChatGPT generating inaccurate citations or misinterpreting laws. Licensing errors can have serious financial consequences, particularly during audits or contract renegotiations. AI recommendations must be carefully validated, not only from a technical standpoint but also from a commercial perspective. Most consulting firms maintain proprietary knowledge that has not been used to train publicly available AI models. Client advice is protected under non-disclosure agreements, and ultimate responsibility remains with humans.

Conclusion: From Analysis to Insight

In conclusion, agentic AI does not eliminate the role of the SAP licensing consultant but enhances it. Those who rely solely on manual processes or fail to adopt increasingly accessible AI tools may lose relevance or competitive advantage. Conversely, those who effectively combine AI capabilities with experience and business understanding will be better positioned. In other words, the role is shifting from simply analyzing information to interpreting and applying it for meaningful outcomes, which remains fundamentally a human process.

For any SAP licensing inquiries, price negotiation support, audit defense, purchasing SAP products, SAP license cost projections, or drafting tailored SAP contracts, you can reach out to ITAA for support backed by industry expertise that has not been used to train publicly available large language models. While maintaining a human-centric approach, ITAA also offers AI services through ITAA.ai, including support with AI roadmaps, training, purchasing strategy, and procurement.