Time spent
AI pays off where many people regularly read, sort, retype or search. The more routine, the bigger the lever.
Tech · AI potential analysis
AI potential analysis: where AI really saves time in your company
Before you invest in AI, you should know where it pays off. With our matrix you make a first self-assessment of six typical areas in five minutes. In the full potential analysis, we then calculate the best use cases with you in hours and euros.
What the matrix shows
- Which areas tie up a lot of routine work
- Where the data is already digital enough for AI
- Your best starting point for a first pilot
- Where the data basis has to be built first
No registration. Your result is only sent if you submit an enquiry.
Self-assessment
The AI potential matrix
Rate each area with two answers: how much working time does it take today, and how is the information available? High effort and a good data situation are the best starting point.
1.Receipts and documents
Capturing and checking invoices, delivery notes, orders
2.Requests and emails
Reviewing, sorting and forwarding inboxes, standard replies
3.Offers and texts
Drafting offers, product descriptions, standard letters
4.Internal knowledge
Searching manuals, contracts and files for answers
5.Sales and leads
Researching, scoring and following up contacts, maintaining the CRM
6.Reports and analyses
Collecting and preparing figures from several systems
Your matrix
0 of 6 areas rated
Rate the areas on the left. Every rated area appears in the matrix right away.
A first self-assessment. It does not replace a potential analysis with your processes, systems and data, but it is a good basis for the intro call.
Why two axes
Value and feasibility belong together
Data situation
AI needs information it can read. If it is digital in ERP, CRM or filing, a pilot is quick. If it is on paper or scattered, digitalisation comes first.
Prioritisation
Both together give the order: first the areas with high effort and a good data situation, while building the data basis for the big levers in parallel.
The full analysis
From the matrix to a benefit calculation
The matrix is the start. In the AI potential analysis with you, we go one level deeper and deliver a basis for management decisions.
01
Map processes
With departments and IT we go through your processes, from accounting to sales.
02
Collect use cases
We record where AI can concretely help and which data and systems are needed.
03
Calculate value
Each use case gets a benefit calculation in hours and euros plus an assessment of effort, data and risk.
04
Roadmap
You get a prioritised list with the first pilot and the next steps. Usually in 2 to 4 weeks.
Afterwards
We also implement
The analysis does not end in a slide deck. We implement the most promising use case as a pilot, integrate it into your systems and train your team. Startup speed for established companies.
More about AI consultingFunding
Consulting with a subsidy
For small and medium-sized companies, the consulting can be subsidised through the BAFA consulting grant, and in Saxony the implementation partly through the SAB digitalisation grant.
More about BAFA consulting fundingFAQ
Questions about the AI potential analysis
What management and department heads usually want to know before getting started.
What is an AI potential analysis?
A structured review of where AI brings measurable value in your processes. We map the processes with departments and IT, collect possible use cases and assess them by benefit, effort, data situation and risk. The result is a prioritised list with a first pilot.
How long does the AI potential analysis take?
A first analysis with quantification is usually ready in 2 to 4 weeks. The effort depends on how many areas we look at and how complex your system landscape is.
What does the AI potential analysis cost?
That depends on the scope. In the intro call we clarify which areas make sense and which starting point suits you. The matrix on this page is free and requires no registration.
What does the online matrix offer compared to the full analysis?
The matrix is a self-assessment and shows in which areas a closer look is worthwhile. The full analysis examines your real processes, systems and data and calculates the value in hours and euros.
Do we need lots of data or our own IT department for AI?
No. Many use cases work with the documents and systems you already have today. We work with your IT or IT service provider and take care of the technical implementation.
How do you handle data protection?
For each use case we check which data is processed and which systems are suitable, and we prefer GDPR-compliant solutions. This does not replace legal advice.
Intro call
Let's find your best
starting point.
Send us your matrix or tell us briefly which processes cost you the most time today. We will get back to you and discuss what a potential analysis could look like for you.
hello@entreprenerds.de
Nordstraße 13, 01099 Dresden