Digitize the right processes—with a sound AI process analysis
In 2 to 3 weeks, we identify the processes in your company with the greatest potential for AI automation—with a transparent ROI calculation for each use case. No buzzword consulting, but an actionable roadmap.
The problem: hype versus reality
"We are doing something with AI now"—this phrase has been heard in almost every SME strategy meeting for the past two years. The result: pilot projects that go nowhere, ChatGPT licenses without a plan, consulting invoices without output. The reason is almost always the same: no one properly analyzed which processes are actually suitable for AI and which are not.
A serious AI process analysis answers three questions:
- Where does my company currently spend the most time on repetitive work?
- Which of these areas can be automated reliably with today's AI technology—not technology that may exist the day after tomorrow?
- What level of investment is justified by each use case over 12, 24 and 36 months?
Our approach
Week 1: interviews and data collection
We interview between four and eight stakeholders: management for the strategic direction, specialist departments for the actual current state, and IT for the technical framework. At the same time, we collect existing process documentation, KPIs and volume data—if none exists, we model it together.
Week 2: assessment and prioritization
Every identified process is assessed along two dimensions: automation potential (technical maturity, data availability, regulatory hurdles) and economic viability (volume, cost of errors, staff capacity). The combination produces a heat map with clear priorities.
Week 3: ROI modeling and roadmap handover
For the top use cases, we calculate the specifics: investment in development and integration, ongoing costs (cloud, API calls, maintenance), staff time savings and quality improvements. You receive a document that enables you to take action even without us.
What you receive
- Heat map of all analyzed processes, including automation-potential and economic-viability ratings
- Profiles of the top 3 to top 5 use cases, including implementation outlines
- ROI model for each top use case (Excel + PDF)
- Technology and tool recommendation for each use case
- Risk and GDPR assessment
- Proposed roadmap for the next 12-24 months
Typical use cases we identify
Who is the analysis for?
- SMEs with approximately 20 or more employees and growing administrative workloads
- Management teams that want to use AI for something concrete but do not know where to start
- Companies that already license ChatGPT or Copilot but see no measurable benefit
- IT leaders who need an internal mandate for an AI strategy
Frequently asked questions
How long does an AI process analysis take?
Typically 2 to 3 weeks from kick-off. In our experience, longer analyses are not worthwhile—the accuracy does not increase in proportion to the effort.
How much does the analysis cost?
We work with fixed prices based on company size and the number of processes. The 30-minute initial consultation to define the scope is free.
Which processes are suitable for AI automation?
Repetitive, rules-based, high-volume processes; processes involving structured or semi-structured documents; communication processes; classification and routing; and recurring data analyses.
Will I receive an ROI calculation?
Yes. For every identified top use case, we quantify the investment, ongoing costs and expected return over a 12-36 month horizon.
What happens after the analysis?
You receive a prioritized roadmap. You can implement it with us, internal resources or other partners—the choice is yours.
Ready for an honest assessment?
Book a free 30-minute initial consultation. We will assess whether a process analysis makes sense for you at all—and tell you openly if it does not.