AI for Business Optimization

From static planning to self-learning foresight.
AI-driven forecasting goes beyond traditional prediction models — it continuously learns from data, adapts to new signals, and anticipates change before it happens.
By embedding intelligent forecasting into operations, businesses gain visibility, precision, and agility across planning cycles.

Typical outcomes:

• Adaptive forecasts that evolve with market and customer behavior
• Up to 40% higher accuracy in demand and performance planning
• Automated insights that guide resource allocation and reduce manual effort
• Faster reactions to shifts in demand, seasonality, or campaign dynamic

Use cases:

• Dynamic demand forecasting across retail, supply chain, and production
• Predictive performance in marketing and sales planning
• AI-assisted financial and operational planning

Our approach:
We design forecasting models that are explainable, continuously learning, and business-aligned — so AI doesn’t just predict the future, it helps shape it.

From repetitive to intelligent.
AI-powered automation turns manual, disconnected processes into intelligent, self-running workflows. It doesn’t just execute rules — it understands context, learns from data, and adapts to change. From document handling to enterprise integration, hyperautomation connects your systems, accelerates execution, and ensures consistency at scale.

Typical outcomes:

• Up to 80% faster process execution through end-to-end automation
• Zero manual errors and complete workflow transparency
• Seamless connection between ERP, CRM, and data platforms
• Human-AI collaboration, where agents take over routine work

Use cases:

• Intelligent document processing and email-to-ERP automation
• Workflow orchestration with low-code tools and AI connectors
• Automated data enrichment and anomaly handling across systems
• AI voice or chat agents executing defined business actions

Our approach:
We design automation that’s AI-centric, explainable, and business-aware — enabling organizations to evolve from reactive processes to proactive, autonomous operations.

Why does it matter
Agentic AI empowers you to move beyond automation toward true autonomy.
It enables autonomous systems with higher automation rates, keeps the human in control, and adapts to real needs — helping you work smarter, faster, and with greater impact.

Typical outcomes:

• Autonomous workflows that run, monitor, and improve themselves
• 10× faster execution in research, planning, and decision cycles
• Scalable collaboration between human teams and AI agents
• Consistent quality and reduced dependency on individual expertise

Use cases:

• Voice or chat agents performing operational tasks in enterprise systems
• Research and analytics agents generating insights within minutes
• AI agents orchestrating multi-system processes like planning or data management
• Intelligent assistants embedded in digital platforms to automate transactional work

Our approach:
We design modular, explainable agent frameworks that evolve with your business — from task-specific copilots to fully autonomous, cross-system agents. Each agent is secure, governed, and built to scale — so AI becomes not just a helper, but a co-worker.

From transactional systems to intelligent operations.
AI @ SAP turns traditional ERP into an intelligent, adaptive ecosystem. It enables end-to-end automation, improves data quality, and brings a human-centric layer of intelligence to every process — from planning to execution.

Typical outcomes:

• Higher automation rates across SAP ERP, CRM, and SCM
• Better data accuracy and cleaner master data
• Faster innovation with scalable AI apps on SAP BTP
• Seamless collaboration through conversational interfaces like Joule

Use cases:

• Embedded AI in the entire SAP Business Suite, such as S/4HANA, SuccessFactors, Ariba, Sales & Service Cloud
• Conversational AI with Joule and custom agents for intuitive, natural interaction
• Custom AI apps on SAP BTP leveraging LLMs for automation and insight
• Hyperautomation of document and email processing into SAP
• AI voice agents executing operational tasks directly in SAP

Our approach:
We combine deep SAP expertise with cutting-edge AI frameworks to build secure, scalable, and explainable solutions. Our goal: transform SAP landscapes into self-optimizing, intelligent systems that continuously learn, automate, and deliver measurable value.