Return on Investment Agent

This use case features one of the 18 ready-to-use AI agents that helped us win the “Agent Race to Sapphire 2026.” What does the Return on Investment Agent do? The agent helps business users capture and evaluate the key assumptions required for a structured return on investment assessment of BTP extensions, AI use cases, and agents.

From initial business idea to informed RoI assessment – structured, fast, and transparent.

The starting point: Uncertainty in evaluating business cases

Assessing the return on investment of BTP extensions, AI use cases, and agents requires a variety of assumptions regarding expected benefits, effort, and other influencing factors. At the beginning of an initiative, important information is often missing or stakeholders have different perspectives on the expected outcomes. As a result, RoI evaluations can become time-consuming, inconsistent, and difficult to compare.

Capturing all relevant assumptions
A reliable RoI assessment depends on numerous factors. Business users often struggle to identify which information is required for a meaningful evaluation.

Guiding business users effectively
Business stakeholders may not always have the experience needed to assess benefits, costs, and value drivers in a structured manner.

Creating consistent evaluations
Different approaches and assumptions make it difficult to objectively compare and prioritize innovation initiatives.

What does our solution look like? Structured RoI assessment for innovation initiatives

The Return on Investment Agent interactively guides business users through the assumptions required for a meaningful RoI assessment. Key influencing factors are captured, structured, and documented in a consistent manner. The solution supports the evaluation of BTP extensions, agents, and AI use cases within the Innovation Factory and provides a solid foundation for investment decisions. In three steps, this means:

  1. Capture key evaluation factors
    The agent asks targeted questions about expected benefits, implementation effort, and other economically relevant factors.
  2. Structure and validate assumptions
    The collected information is documented consistently and checked for completeness to establish a reliable evaluation basis.
  3. Prepare the RoI assessment
    The agent consolidates the relevant assumptions and prepares the information for a structured return on investment evaluation and decision-making process.

The result? Better-informed investment decisions

The result includes more structured and consistent RoI assessments for BTP extensions, agents, and AI use cases. Manual effort for gathering relevant assumptions is reduced, while business users receive guided support throughout the evaluation process. The solution creates a transparent foundation for innovation decisions and enables more comparable assessments across Innovation Factory initiatives.

Do you have a similar challenge?

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Tags
AI / GenAI Artificial Intelligence Software Development