How SAP Business Data Cloud and SAP Tax and Revenue Management Could Enhance Tax Administration

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Unlocking the Power of Data for Tax Administration

Tax agencies worldwide face increasing pressure to enhance compliance, detect fraud earlier, and optimise collections, all while managing vast amounts of structured and unstructured data. However, simply collecting more data is not enough, agencies need the ability to analyse it effectively, connect relevant insights, and act on real-time risks. With SAP Tax and Revenue Management (SAP TRM) on S/4HANA Cloud Private Edition, tax agencies already have a trusted system of record for managing taxpayer obligations, compliance, and collections. Embedded machine learning capabilities such as SAP Behavioural Insights provide predictive analytics that help agencies:

• Forecast late payments, allowing proactive taxpayer engagement.
• Detect non-compliance patterns, helping compliance officers focus on high-risk cases.
• Personalise engagement strategies, ensuring tailored interventions for different taxpayer segments.

However, while SAP TRM provides critical insights into taxpayer behaviour, it operates primarily within SAP system data. Compliance decisions often require a broader, real-time view, integrating external datasets such as banking transactions, business registries, and customs records.

This is where SAP Business Data Cloud (BDC) and Joule AI agents could complement SAP TRM providing seamless data integration and AI-driven insights to help tax authorities make better, data-driven decisions.

 

How SAP Business Data Cloud Could Support Tax Agencies

Many tax agencies struggle with data silos, making it difficult to gain a complete view of taxpayer compliance. SAP Business Data Cloud provides a scalable, cloud-based infrastructure for data products that could unify SAP TRM with financial transactions, e-commerce platforms, and customs data. As an example, with BDC, tax authorities could gain deeper insights into taxpayer cash flow, identify potentially unregistered businesses operating in the digital economy, and automate cross-checking of VAT refund claims against customs records.

By integrating structured and unstructured tax data and providing it as a harmonised data product, BDC ensures tax authorities have the most complete, context-rich datasets available

How Will Joule AI Agents and SAP Business Data Cloud Work Together?

SAP Business Data Cloud provides the trusted data foundation, while Joule AI agents act as the intelligence layer, analysing information and surfacing insights to support tax officers. By leveraging real-time data from SAP TRM and external sources, Joule AI agents could help tax agencies detect anomalies, assess risks, and prioritise compliance actions, ensuring enforcement remains data-driven while under human oversight.

With access to a more complete dataset through BDC, Joule AI agents could process large volumes of tax data and provide insights that help tax officers focus on the most relevant cases. This includes analysing patterns in taxpayer behaviour, identifying potential risks before they escalate, and offering recommendations that improve compliance strategies. 

Many tax agencies still rely on manual enforcement, requiring tax officers to review cases, issue notices, and escalate compliance actions. AI agents could help agencies prioritise high-risk cases while ensuring fairness and consistency.

For example, tax agencies could (where legally permitted):

• Fraud Detection in VAT Refunds – AI-driven models could analyse VAT refund claims alongside customs and supplier transaction data to detect inconsistencies before refunds are processed.
• Identify potentially unregistered businesses by analysing payment platform activity.
• Detect inconsistencies in tax declarations by linking structured revenue data with third-party business activity.
• Shadow Economy Risk Indicators – BDC could integrate social, economic, and transaction data to help tax agencies identify unregistered businesses.
• Simulate the impact of enhanced compliance on the tax base and tax rates, supporting tax reform efforts

By acting as the foundation for AI-driven insights, BDC ensures that tax agencies access complete, trusted data to support compliance and fraud detection initiatives.

 

The Role of SAP Knowledge Graph in AI Decision-Making

So where does SAP Knowledge Graph fit into this picture? For AI-generated insights to be reliable and actionable, they must understand how different datasets relate to each other. SAP Knowledge Graph, embedded within SAP Business Data Cloud, can enables this by mapping relationships between tax records, transactions, and regulatory data.

With SAP Knowledge Graph, Joule AI agents could deliver process-aware insights ensuring compliance recommendations are business context aware. For example:

• Understand connections between taxpayer records, transactions, and regulatory data.
• Enhance AI-driven decision-making, improving fraud detection, risk scoring, and tax collection efforts.

BDC combined with SAP Knowledge Graph ensures that Joule AI agents generate AI insights that are grounded in business reality rather than isolated data points.

The Future of AI-Driven Tax Administration

As tax agencies continue modernising their compliance and fraud detection strategies, the combination of SAP Business Data Cloud, Joule AI agents, and SAP Tax and Revenue Management could provide a strong foundation for AI-assisted decision-making.

With access to trusted, high-quality enterprise data, tax officers could prioritise compliance cases more effectively, ensuring resources are focused where they are needed most. AI-driven insights could help improve collections by identifying taxpayers at risk of late payments and recommending appropriate actions, such as structured installment plans. In dispute resolution, AI could accelerate case handling by surfacing the most relevant information from tax records, taxpayer interactions, and supporting documents.

Finally, governance and compliance remain central to this transformation. AI-driven insights must align with GDPR, tax laws, and regulatory policies, ensuring transparency and fairness. Tax agencies must retain oversight, with AI assisting tax officers rather than replacing human judgment, ensuring decisions remain proportionate and legally sound.

This is just the beginning. More to come.

Please contact Minesh Ladwa for more information