Several key market forces are influencing the strategic direction of CFOs. Understanding the pressing questions, strategic priorities, and market dynamics that occupy a CFO's mind is crucial for actively contributing to your organization's financial success. By gaining insights into these areas, you will be better prepared to engage in strategic conversations and make meaningful contributions.
Artificial Intelligence – It is Everywhere (Now)
- Embedded AI: AI is integrated into ERP systems and other finance related applications with minimal setup making core finance operations highly automated. Financial Planning and Analysis (FP&A) applications leverage AI to streamline the decision making process.
- Predictive Analytics: Machine learning is used to predict financial trends and events like cost, liquidity, or material shortages, aiding in proactive decision-making.
- Cash Management and Financial Agility: Embedding AI in cash operations and predictive analytics to manage liquidity and cash flows is key. At SAP, we provide out of the box, user-driven cash prediction modeling, and more.
- Simulations and Decision Making: Simulations and scenario planning, supported by analytics and AI, guide executives in planning the best strategic paths.
- Generative AI: Generative AI, used in tasks like HCM and helpdesk, will also automate finance-related tasks like report generation, communication (internally as well as with customers and other business partners), and training.
Automation & Analytics – Speeding Up Work and Saving Money (0-2 Years)
- Process Automation: Leverages intelligent automation and embedded analytics to perform transactional processes, making these tasks touch-less.
- Developer Automation: Uses AI to write custom code for Finance/ERP requirements, with AI code generators simplifying the process.
- Implementation Automation: Speeds up implementation and updates by automatically testing and detecting mismatches, with AI-driven suggestions.
- Natural Language Processing and Chatbots: Chatbots using natural language processing (NLP) provide quick answers, gathering data and delivering insights for finance, production, and service.
- Accessible On-the-Fly Reporting: Enhances real-time reporting with NLP, data integration, and visualization tools, enabling more automation and transparency.
Cross-Application Processes & Platforms – Integration, Composability, Tools (0-3 Years)
- Business Integration Platform: Integrates various applications using modular, API-based, and microservices architecture.
- Process Tools: Supports core business processes with AI, data lakes, and smart workflows across multiple systems.
- Compliance Monitoring: Ensures industry-specific compliance using AI, machine learning, and chatbots.
- Ecosystem Integration: Allows seamless integration of third-party applications using APIs and rapid development tools
Sustainability Efforts – Metering & Analytics (next 2-5 Years)
- Compliance Adhere to sustainability mandates by using green ledgers, data collection tools, and reporting tools, as well as FP&A tools.
- Efficiency: Analyze and reduce energy and resource usage without disrupting core business processes using analytics tools and data collection instrumentation.
- Social governance: Work with HR to achieve social governance goals, plan compliance tools, and integrate third-party applications to meet ESG goals using APIs and application services layer.