PlatinumDB Deploys AI-Powered Solution to Proving EPPM ROI

SAP partner PlatinumDB Consulting has launched an artificial intelligence-powered portfolio optimization solution that directly addresses one of the most persistent challenges facing organizations implementing SAP’s Enterprise Portfolio and Project Management (EPPM) platform: proving and increasing return on investment.

According to PlatinumDB, the question “How do I justify my investment in SAP EPPM?” consistently emerges during customer value engineering processes, prompting the firm to develop what it positions as a data-driven and AI-powered answer. The EPPM-BTP-ChatGPT Solution, built on SAP Business Technology Platform (BTP) and integrated with ChatGPT, automates the scoring, simulation, and prioritization of project portfolios across diverse project types.

Addressing Portfolio Management Complexity

Managing portfolios of capital ideas and active projects presents ongoing challenges for organizations, particularly as economic conditions shift and require periodic rebalancing, according to the company. Traditional manual approaches to project scoring and prioritization often lack the flexibility needed to respond to changing market dynamics or to simulate different strategic scenarios before committing resources.

PlatinumDB’s solution enables organizations to establish flexible scoring algorithms that can be modified as business priorities evolve. The system allows finance teams and portfolio managers to simulate project scoring under different conditions, supporting more informed decision-making about which initiatives to pursue, postpone, or cancel.

Technical Architecture and Capabilities

The solution operates through a six-step automated workflow that connects SAP S/4HANA, AI engines, and approval processes. The architecture begins when project requests flow from SAP S/4HANA databases into the workflow engine, which initiates the prioritization sequence.

Process automation triggers the AI scoring engine (powered by ChatGPT integration) to analyze and rank projects based on predefined algorithms. The AI evaluates projects against multiple criteria including strategic alignment, risk profiles, resource requirements, and expected returns. Results are then pushed to designated approvers’ inboxes, where portfolio managers and executives can review AI-generated recommendations.

Approvers can accept or reject the AI’s prioritization through the Portfolio Roadmap interface, providing human oversight of algorithmic decisions. Once approved, the system automatically updates project rankings in the SAP S/4HANA database, ensuring the entire portfolio reflects current priorities.

This automated approach reduces manual scoring time while maintaining executive control over final decisions, addressing the common challenge of balancing speed with strategic judgment in portfolio management. The platform supports capital projects, IT initiatives, revenue-generating programs, and R&D investments within a unified framework.

What This Means for SAPinsiders

AI delivers measurable portfolio ROI gains for SAP program leaders. PlatinumDB’s integration of ChatGPT into SAP BTP demonstrates how intelligent portfolio management can replace subjective scoring with automated, data-driven evaluation. Organizations piloting the solution in capital and IT project environments report faster cycle times for portfolio reviews and reduced governance bottlenecks. For SAP EPPM customers, this translates into tangible savings in time, consistency, and financial transparency.

AI integration accelerates strategic agility in enterprise project management. As economic volatility forces organizations to continuously rebalance investments, PlatinumDB’s approach provides a live simulation capability that enables proactive, scenario-based decision-making. This flexibility aims to empower finance and operations teams to test assumptions before major capital commitments. SAPinsiders can expect more dynamic budgeting cycles and improved alignment between strategy and execution.

SAP professionals should evaluate vendor maturity in AI-enabled portfolio tools. Key criteria include seamless SAP S/4HANA integration, SAC compatibility, and transparent model governance to ensure explainable AI outputs. Organizations should also pilot use cases in lower-risk project portfolios to refine scoring models and stakeholder adoption. As AI becomes embedded in SAP’s EPPM ecosystem, mastering these practices will be critical to realizing superior generation portfolio performance.