AI use case identification & evaluation
We separate hype from real added value. Find the use cases that are really worthwhile.
AI use cases
Do you see the huge potential of AI, but are unsure exactly where its use in your company will bring the greatest benefits and want to avoid expensive bad investments in gimmicks?
We bring clarity to your planning. Our team of business analysts and AI architects will evaluate your ideas not according to their “coolness factor”, but according to their technical feasibility and economic potential.
We systematically scout for use cases in your specialist areas, prioritize them using a hard cost-benefit matrix and develop an implementable roadmap for your first quick wins.
Why many AI ideas never go live
There are often many ideas in workshops. But without a validated business case, most initiatives fail at an early stage:
- Solution seeks problem: Attempts are made to throw AI at processes that do not require AI at all (“technology push”) instead of solving real business problems.
- Underestimated data reality: The idea is good, but the data quality or availability is not technically sufficient to train a model.
- Lack of ROI: “Showcase projects” are launched that appear innovative but do not make a measurable contribution to the company’s results.
- Lack of focus: Instead of concentrating on a few high-value cases, the organization gets bogged down in too many small pilots at the same time.
Business Value First, Technology Second
We are not fans of “AI for the sake of AI”. For us, AI is a tool, not an end in itself.
That’s why we filter radically. We are not looking for the most technically complex solution, but the shortest path to added value. Our evaluation framework balances three perspectives:
- Desirability (benefit):
Does the use case solve a real problem for the customer or employee? (pain point relief). - Viability (economic efficiency):
Does the case pay off? We estimate development costs against the expected savings or increase in turnover (ROI calculation). - Feasibility:
Do you have the data? Is the technology mature enough? We examine the technical requirements in a ruthlessly honest way.
Our approach to the validated AI roadmap
We work with you to identify the AI use cases relevant to your company and develop a meaningful roadmap.
Step 1:
Discovery & Scouting
We conduct interactive ideation workshops with your specialist departments.
We analyze your value chain and identify potential areas of application: from automation in the back office to generative AI in marketing.
Goal: A longlist of possible ideas without any restrictions.
Step 2:
Assessment & prioritization
Now it is filtered.
We run every idea through our impact/effort matrix.
We separate the “quick wins” (high benefit, low effort) from the “strategic bets” (long-term) and the “time wasters” (omit). We check data availability and assess risks (e.g. data protection).
Step 3:
Solution Design & Roadmap
We create profiles (solution concepts) for the top candidates.
We define what an MVP (Minimum Viable Product) looks like, what resources are required and what the schedule looks like.
You receive a prioritized implementation roadmap that can be started immediately.
The result: investment security instead of gut feeling
In our projects to identify AI use cases, we achieve the following results:
- Clear focus: You know exactly which 3-5 projects you need to tackle next to get the most leverage.
- Avoid “burning money”: you only invest in projects that are technically feasible and have a positive business case.
- Quick wins: By identifying quick wins, you quickly generate visibility and momentum in the organization.
- Stakeholder buy-in: Validated data and concepts help you to convince management and budget managers.
- Resource efficiency: Your IT and data teams work on the right topics instead of failing on ideas that were doomed to failure from the outset.
We look forward to working with you to identify your AI use cases. Get in touch with us!
