CompAn Labs AI & Digitalisation
For progress in B2B mid-market companies, industry, retail and services
You want AI & automation that fits your operations, but what can that look like for you in practice?
CompAn Labs combines current software solutions with decades of practical experience from Finance, Marketing and Knowledge management.
Clients & Projects
Your challenges in everyday working life
AI and automation sound sensible, but where do you start?
In many companies, data, expertise and systems have been in place for a long time. Despite this, important processes remain manual, scattered or hard to grasp: figures have to be reworked, marketing gets left behind, and knowledge is searched for rather than used.
The challenge is not to „do something with AI“. The crucial thing is to right start to find: the process that takes up time today, slows down decisions, or makes knowledge difficult to access.
Too much information, too little clarity
The data is there. But far too much time often passes before it turns into a clear decision.
Too much manual background work
Check, copy, compare, query, approve: many tasks tie up people even though they could be prepared automatically.
The right start is often still unclear
The potential is there. However, which process should be improved first is not always immediately obvious.
What CompAn Labs can help with
What businesses want nowadays
AI and automation only become tangible when the right process becomes visible: the analysis that arrives too late. The marketing process that gets left behind. The knowledge that is searched for time and time again.
That is precisely where the most sensible starting point lies.
Fewer manual tasks & fewer sources of error
Automate recurring analyses, research and tasks.
More clarity & time saving
Find relevant information quicker and contextualise it better.
Better & simpler decisions
Increase margins, and manage campaigns and knowledge in a data-driven way.
From industry experts
Fast processes, developed by experts on a case-by-case basis.
Services & Applications
Dashlake makes the difference in these three areas
Automation for finance, marketing and knowledge management: businesses lose time in these three areas every day – or win it back. Dashlake provides the best possible interface here.
Finance and Controlling
Spot earlier. Decide better.
Fragmented data, manual evaluations and Excel files waste time every day and make informed decisions more difficult. Dashlake connects your financial and company data from different systems, analyses it automatically and presents key figures clearly. This allows you to identify variances, trends and potential earlier – and make decisions based on up-to-date data instead of guesswork.
Marketing & Communications
More visibility. Less routine work.
Marketing data is often scattered across various tools and channels. Dashlake consolidates this information, automates evaluations and assists with the creation, planning and optimisation of content. Campaigns can be managed more quickly, results evaluated transparently and recurring tasks automated – leaving more time for strategy and growth.
Knowledge management
Making knowledge available.
Valuable corporate knowledge is frequently locked away in documents, emails, tickets or inside the heads of individual employees. Dashlake brings together information from various sources and makes it searchable in a structured, AI-supported way. This shortens search times, ensures knowledge is retained within the company, and enables employees to get the information they need for their work much faster.
Technologies used:
Why CompAn Labs?
No off-the-shelf solution.
CompAn Labs develops AI automation from the specific business context: with data expertise, technological understanding and an expert network that has practical knowledge of finance, marketing, knowledge management and industrial processes.
AI decides who is playing tomorrow
%
the management also see it that way
AI is becoming a question of future viability – particularly for companies that want to use processes, data and knowledge intelligently ahead of time.
The same work in half the time
%
companies report that following the introduction of AI
The benefit arises wherever AI is sensibly integrated into workflows – not as a gimmick, but as a tangible relief.
Know quicker what to do
%
make better decisions when data is instantly available
When data, knowledge and courses of action come together more quickly, decisions are prepared more clearly.
„Companies that make their processes smarter today will gain speed, clarity and attractiveness tomorrow. AI is not the goal in this process – but the lever.“
Marion Liedtke
Founder and CEO
AI solutions for finance and controlling
Who is this suitable for?
Ideal for:
Retail, wholesale, manufacturing and B2B companies with complex product ranges.
Added value
This is how management, controlling, purchasing and sales can identify more quickly where margins are falling, prices need to be adjusted or product groups need to be examined more closely.
C. Strobel
Operations Manager,
Althea Deutschland GmbH
„We knew we had to become more active digitally – but we lacked the time. Thanks to CompAn Labs, we have a structured process: relevant topics, ready-made posts, and direct leads. A real relief and growth booster.“
C. Strobel
Operations Manager,
Althea Deutschland GmbH
Use Case | Reference Example
Althea Deutschland: From unused visibility to automated B2B marketing
Initial situation
Althea Deutschland sells refurbished medical endoscopes, accessories and services. The expertise was there, but LinkedIn, SEO and the e-shop were not yet being consistently used to regularly generate qualified B2B enquiries.
Result
CompAn Labs developed an automated marketing process comprising Google Ads, SEO and LinkedIn content via Dashlake Marketing. Today, relevant topics, ready-made posts and greater visibility are generated for the e-shop on a regular basis.
Conclusion
Individual marketing activities have become a scalable process that relieves Althea, strengthens the online presence and supports new enquiries.
CompAn Labs | The AI Expert Network
The best AI does not start with code.
But with understanding.
Before we develop an AI solution at CompAn Labs, it's all about people, processes and context.
Regarding the question of where work becomes unnecessarily difficult. Where decisions take too long. Where knowledge is indeed available, but fails to be accessible at the crucial moment.
Dr.-Ing. Manuel Bordasch
To this end, CompAn Labs combines technological AI and data expertise with a network of experts from the financial sector, marketing, knowledge management, and industrial automation. People who know what questions need to be asked before a solution is created.
This is how AI automations are created that bring together existing data, expertise and business goals, and provide support in everyday work precisely where they noticeably relieve the burden.
Anyone building AI solutions must understand business. Learn how CompAn Labs works and thinks, and why the Lake Constance region is so close to our hearts.
Customer experiences
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Questions & Answers
Good questions before automation starts in the company
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For which companies is CompAn Labs particularly worthwhile?
Typical starting points are: many manual evaluations, scattered data, growing complexity, too little time for marketing, or internal knowledge that is difficult to find.
What makes CompAn Labs different from many other AI and automation providers?
Behind CompAn Labs is not just a technical team, but a network of experts from various fields. This includes people with practical knowledge in finance, marketing, knowledge management, data analysis and automation.
This means that solutions are not developed from a purely tool-driven perspective, but from the reality of everyday business life. The people behind CompAn Labs know the processes, questions and potential pitfalls that will be critical later on during implementation.
Which systems can be integrated?
The crucial factor is not connecting as many systems as possible, but making the right data usable for the respective process.
Why is specialist knowledge so important in automation?
Automation only works well if the process behind it is understood. A solution for controlling must answer different questions than a solution for marketing or knowledge management.
That is why developers and specialists work closely together at CompAn Labs. This results in solutions that do not wait until real-world use to reveal that important details are missing – but are designed from the outset with everyday application in mind.
How secure is our data with CompAn Labs?
At CompAn Labs, data security is not an additional topic, but part of the solution. With our own software Dashlake is there a separate GDPR-compliant tool available, which was developed for data-driven automation, evaluations and AI-supported processes.
Solutions can, depending on the requirement, be in the Cloud, on own infrastructure or on own servers be implemented. That way it stays better controllable, where data is processed, who gets access and how sensitive information remains protected.
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Do our data need to be transferred to external or American AI tools?
Not across the board. A key advantage of our own software solution Dashlake is that solutions can be structured so that data does not flow unnecessarily through many external providers, interfaces or insecure hosting structures.
Depending on the project, it is assessed which data is really needed, where it is processed and which infrastructure fits best. The goal is: as much automation as makes sense – with the highest possible control over your data.
What does the Lake Constance location mean for the work of CompAn Labs?
Medium-sized companies in particular around Lake Constance, in Baden-Württemberg and the DACH region often do not need anonymous standard software, but tangible contact persons who understand their processes and think ahead for the long term.
Do we already need perfect data before automation is possible?
Often, clarity is already gained through this: Which information is really important? Which systems need to be connected? Which processes take up too much time today? From this, a sensible first automation step can be derived.
Must a large AI project be started straight away?
This quickly makes it clear whether the approach is suitable – without having to restructure the entire company straight away.