Tailoring the Message to Customer Roles

At the heart of SAP Business AI's messaging is a clear value proposition:

This message is supported by the following benefits that define how SAP Business AI delivers value:

1. Complete Enterprise Context: AI systems can be integrated with business data, adapt to updated information, and be implemented across various business functions to support enterprise-wide decision-making.
2. Omnipresent Experience: Empower employees and optimize AI value across your business with a unified interface that seamlessly enhances daily workflows.
3. Unmatched agent-driven efficiency: Agent-driven solutions enable businesses to address complex challenges and develop new capabilities by utilizing collaborative agents that operate across the organization with transparency and security.

SAP Business AI is designed to create real value for every aspect of your business. Focusing on customer value tied to each persona’s challenges and Key Performance Indicators(KPIs) leads to stronger engagement. By adopting a persona-driven approach, you can position AI solutions as directly relevant to the goals and pain points of each executive or business leader.

Organizations are made up of diverse leaders, each with distinct business drivers, challenges, and AI-enabled opportunities.

For each persona, consider the following structure:

• Persona's Focus: What are their main goals and challenges?
• AI Use Cases: Which SAP Business AI solutions address these needs?
• Quantified Value: What measurable benefits can be achieved?

• Focus: Strategic growth, innovation, competitive advantage.
• AI Use Cases: Predictive insights, intelligent automation, generative AI for decision support.
• Quantified Value: Up to €7M bottom-line impact.
• Practical Scenario: AI-driven forecasting and automation accelerate strategic initiatives, reduce operational friction, and unlock new market opportunities.
• SAP Business AI Messaging: Position AI as a catalyst for innovation, market leadership, and long-term value creation.

• Focus: Financial resilience, compliance, cash flow.
• AI Use Cases: Automated invoice error classification, regulatory change management, financial insights.
• Quantified Value: Up to €2.2M bottom-line impact.
• Practical Scenario: A finance team can automate the matching of incoming payments, reducing manual effort by 71% and improving cash flow visibility. Regulatory change management supported by AI reduces the time to comprehend new regulations by 90%, ensuring compliance and reducing risk.
• SAP Business AI Messaging: Highlight AI's impact on financial efficiency, forecasting, and risk management.

• Focus: Talent acquisition, employee engagement, workforce agility.
• AI Use Cases: AI-driven applicant screening, AI-assisted writing, compensation insights.
• Quantified Value: Up to €1.09M bottom-line impact.
• Practical Scenario: Applicant screening powered by AI reduces the time to match candidate skills to job requirements by up to 80%, while AI-assisted writing tools cut the time spent on employee feedback by 64%.
• SAP Business AI Messaging: Describe how AI enhances hiring, develops employees, and streamlines HR agility.

• Focus: Operational efficiency, on-time delivery, smooth business execution.
• AI Use Cases: Predictive analytics, intelligent listings, equipment insights.
• Quantified Value: Up to €1.4M bottom-line impact.
• Practical Scenario: Predictive analytics help forecast demand and automate inventory decisions, reducing out-of-stock scenarios and logistics costs.
• SAP Business AI Messaging: Emphasize the role of AI in enhancing process automation, improving supply chain resilience, and accelerating execution speed.

• Focus: Campaign ROI, personalization, customer engagement.
• AI Use Cases: Subject line generator, image generation, product tagging.
• Quantified Value: Up to €2.2M bottom-line impact.
• Practical Scenario: AI-generated subject lines and personalized product recommendations increase conversion rates and reduce campaign creation costs by 10%.
• SAP Business AI Messaging: Highlight AI’s impact on personalization, campaign results, customer insights, and ROI in marketing.

• Focus: Supply chain resilience, supplier risk, cost efficiency, sourcing.
• AI Use Cases: SOW creation, job description automation, invoice processing.
• Quantified Value: Up to €2.1M bottom-line impact.
• Practical Scenario: Automated SOW (Statement of Work) creation reduces time by 71%, while AI-powered invoice error classification cuts reprocessing effort by 40%.
• SAP Business AI Messaging: Emphasize AI’s impact on sourcing, disruption forecasting, procurement automation, and supplier risk management.

• Focus: Revenue growth, strategic sales execution, sales productivity, customer acquisition, forecasting.
• AI Use Cases: Lead booster, quote automation, smart scheduling.
• Quantified Value: Up to €6.5M bottom-line impact.
• Practical Scenario: AI-driven lead management increases conversion rates and accelerates sales cycles.
• SAP Business AI Messaging: Highlight how AI contributes to pipeline forecasting, customer strategy optimization, sales productivity, and territory planning in support of revenue growth.

• Focus: Security, integration, innovation.
• AI Use Cases: Code generation, automation pilot, regulatory insights.
• Quantified Value: Up to €3.5M bottom-line impact.
• Practical Scenario: AI-powered code generation reduces development costs by 30% and accelerates migration to digital environments.
• SAP Business AI Messaging: Highlight SAP Business AI’s seamless integration with current technological infrastructure, its robust data security capabilities, and its strategic importance.

• Focus: Customer satisfaction, cost to serve, service efficiency.
• AI Use Cases: Case summary, smart actions, entity extraction.
• Quantified Value: Up to €3M bottom-line impact.
• Practical Scenario: AI automates case summaries and entity extraction, improving service agent productivity by up to 50%.
• SAP Business AI Messaging: Emphasize AI’s role in improving service speed, reducing operational costs, and enhancing customer experience.

These examples show how SAP Business AI delivers substantial bottom-line impact across various business functions by addressing specific challenges and priorities unique to each role. From enhancing financial resilience for CFOs to improving talent acquisition for CHROs, AI integration drives efficiency, compliance, and innovation. Each persona benefits from tailored AI solutions that streamline processes, reduce costs, and ultimately foster a more agile and competitive organization.

You can see more examples and features in the AI Catalog.

Tailoring your SAP Business AI message to customer roles transforms generic conversations into strategic dialogues. By identifying each persona’s priorities and using practical examples with measurable outcomes, you can clearly show AI’s value and motivate action. You are now equipped to engage stakeholders across the organization with confidence, clarity, and impact.