AI-Generated AI Software for AI Use Case Management

“AI-Generated AI Software for AI Use Case Management” – What the … heck?! Three times the same buzzword in one title? Okay, let me explain.

You are probably familiar with software solutions for AI use case management, also known as AI portfolio management. Enterprise companies often use SaaS applications for this purpose: they collect all proposals in a use case catalog, define prioritization criteria such as revenue growth potential, and then calculate a score for each use case. This score determines the next best use cases.

We use a Miro template with intelligent tables for this purpose at Datentreiber and for our customers. The advantage: high flexibility. The disadvantage: high effort. With SaaS applications, it’s the other way around: less effort, but also less flexibility.

But what if you could have both? By having AI code a customized software for AI use case management, and then having that software use AI to automate the collection and prioritization of the use cases.

In short: AI-generated AI software for AI use case management!

This is exactly what we have prototypically implemented as part of two Miro Challenges (for Miro AI and Miro MCP), demonstrating the future of (data & AI) strategy development and implementation: instead of visualizing strategy in slides, our Miro tool is coding strategy into software.

👉 Check the Miro board: https://miro.com/app/board/uXjVGFJe914=/?share_link_id=392996047524

From Strategy-as-Slides to Strategy-as-Software (SaS)!

The demo also shows how human stakeholders and AI agents co-create in a shared space such as a Miro board and form a co-intelligence:

1) Workflow Orchestration: the Miro AI creates a strategic OKR set for the company from a strategy presentation, and another AI Flow derives possible prioritization criteria for the AI use cases from the OKRs.

2) Workshop Facilitation: In a vote, stakeholders select and weight the prioritization criteria. Humans are in the loop as decision-makers.

3) Software Generation: Lovable (a popular vibe coding tool) uses the Miro board as a context to create a ready-to-use SaaS application for AI use case management based on the selection and weighting of prioritization criteria.

The AI-generated application itself also uses AI:

1) A stakeholder makes a use case proposal as free text.

2) An AI extracts the prioritization factors from this.

3) A table dynamically calculates the scores and ranking of the use cases.

It is still only a demo showing what could be possible. To make it possible, we invite enterprises for co-creation. If you are interested, please let us know in the comments. 👇 And give us a👍 if you would like us to organize a Lunch & Learn event to showcase the demo and/or publish it as a template on Miroverse. We look forward to your questions and feedback!

PS: The Lunch & Learn is scheduled for March 12. Please register for free.