KI-Beratung: AI Potential Analysis
You want to use AI but aren't sure where the biggest leverage is? We systematically analyze your workflows, data sources, and system landscape – and show you concretely which processes are genuinely suited for AI support. No theory, no buzzwords: just an honest assessment of what's worth automating and what isn't.
Challenges you'll recognise
- You know AI could help – but not where to concretely start without burning budget.
- Different departments have their own wishes, but there's no clear overall picture.
- You don't want to invest before the value is clear.
Testing for AI Suitability
We look at your existing workflows systematically – which steps are repetitive, rule-based, or data-driven? That's where the potential lies. Through structured interviews and process mapping we surface the weaknesses that AI can reliably take over without overburdening your team or compromising quality.
Prioritized Potential Ranking
The result isn't a vague report – it's a clear ranking of your automation potentials, sorted by expected value, implementation effort, and strategic relevance. You can immediately decide where to start and how much budget you're realistically willing to invest.
Understanding Your Data Foundation
AI needs data – but not all data is equally usable. Together, we assess which data sources exist in your organization, how well-structured they are, and whether they're sufficient for each use case. This saves you costly surprises later during implementation.
Honest Feasibility Assessment
Not every process can be meaningfully automated. We also tell you clearly where AI creates no added value or where effort outweighs benefit. This honesty protects you from misguided investments and builds the trust needed for the projects we then actually tackle together.
Good to know
Structured Methodology
Interviews, process mapping, and a technical inventory together create a complete picture of your automation potentials – no blind spots, no wishful thinking.
Clear Ranking
You receive a prioritized list of concrete AI use cases – evaluated by value, effort, and strategic relevance so you can act immediately.
Honest Assessment
We also tell you where AI brings no value. This clarity protects against poor investments and is the foundation for every successful AI project.
Frequently asked questions
How long does an AI potential analysis take?
What do I need to get started with the analysis?
How does the potential analysis differ from the AI strategy?
Success you can measure
With us you don't get theoretical AI consulting, you get a partner who delivers. We combine strategic thinking with technical execution power – from the first process analysis to the productive AI system. Together we find the levers where AI has the biggest impact and implement solutions that pay off. Your processes and goals are always at the center.
Comprehensive know-how in AI strategy and implementation
Experience with leading AI platforms: OpenAI, Claude, ElevenLabs, CloudBot
Over 10 years of experience in software development and system integration
Interdisciplinary team of developers, strategists and UX experts
Sustainable AI solutions that strengthen your company long-term
READY TO TAKE YOUR PROCESSES TO THE NEXT LEVEL WITH AI?
Whether you want to automate individual workflows or develop a holistic AI strategy for your company – we'd love to meet you. An initial conversation is the foundation for smarter processes and real cost savings.
Related articles from our blog
KI im Marketing 2026: 7 Automationen, die du diese Woche einrichten kannst
Die meisten Teams nutzen KI nur zum Texten. Diese sieben Automationen für Content-Briefs, Meta-Descriptions, Social Repurposing, Betreffzeilen-Tests, Keyword-Clustering, Competitor-Monitoring und AI-Search-FAQ bringen echte Zeitersparnis – jede in unter einem Tag eingerichtet.
Alarmierung mit n8n einrichten: automatische Benachrichtigungen Schritt für Schritt
Die meisten Teams erfahren von einem Problem zuerst vom Kunden. Mit n8n baust du automatische Benachrichtigungen aus drei Knoten: Auslöser, Bedingung, Kanal. Inklusive Slack, E-Mail und SMS und dem Error-Workflow, den fast alle vergessen.
Introducing AI in the company: Training, use cases and the first steps
Introducing AI in the company means: use cases before tools, empowering employees and, since February 2025, fulfilling the AI competence obligation from Article 4 of the EU AI Act. The structured introduction in five steps.
Related services