ai opportunity analysis

AI promises companies enormous opportunities. But there's usually no clear plan. We help concretise that potential. The result: a measurable roadmap that brings your AI projects reliably into production.

unclear goals, wasted potential.

Many companies want to start with AI. They see the possibilities, but the path is unclear. Which use cases really fit your business model? Where can AI systems be implemented that deliver immediately? Without clear prioritisation, projects fan out fast. Resources get tied up without any system actually working or generating measurable value. A proof of concept often stays in the test phase. It doesn't ship. We avoid that risk.

analysis with consequences.

We analyse your company pragmatically and directly. Our process has two stages:

• Quick Scan: within a few days we identify the first promising use cases. We quickly discuss where AI can make a tangible impact first.
• Deep Assessment: here we dive deeper. We evaluate every use case in detail against four criteria:

• impact: what concrete value does this use case generate? How measurable is the benefit?
• feasibility: is the technical implementation realistic? Does the system fit into the existing architecture?
• data situation: are the required data available? Are they usable and of sufficient quality for an AI model?
• risk: what hurdles exist in implementation? How complex is the path to production?

We review existing data pipelines and the tech stack. The result is a clear filter. What remains are use cases that don't just look good on paper but actually work and can go to production.

the roadmap that leads to the goal.

At the end of our assessment stands a concrete roadmap. It shows which use cases we tackle in what order. Each use case is clearly described and tagged with measurable KPIs. We define what a finished AI system has to deliver.

We think in 90-day cycles. This pragmatic approach lets us build and ship first working agents quickly. We build a pipeline that's thought through from idea to finished system. That's how we deliver measurable results. No project stays a pilot without a follow-up. Our goal: AI systems that run in operation and create value.

• concrete use-case prioritisation
• evaluation by impact, feasibility, data, risk
• clear roadmap for 90-day cycles
• from idea to working agent
• measurable KPIs and outcomes

We make AI tangible and usable. A grounded analysis and a pragmatic roadmap are the first step toward AI systems that actually deliver and move your company forward.