Companies are faced with the challenge of working more efficiently and remaining innovative. Artificial intelligence (AI) is a key technology that makes it possible to automate processes and free up valuable resources. The mgm AI Suite impressively demonstrates how companies can transform their workflows and focus on what is important: growth, innovation and customer orientation.
In this article, which is based on my presentation at Bitkom TRANSFORM 2025, I take a look at the many advantages of AI-supported process automation and its application examples in various industries.
The advantages of AI-supported process automation
- Saving time and increasing efficiency
AI technologies take over repetitive and time-consuming tasks that were previously handled manually. This frees up employee time for more demanding and strategic activities. For example, the mgm AI Suite reduces the processing time for an insurance offer from 53 minutes to just 6 minutes – an 89% time saving. - Error reduction and quality improvement
Manual processes are prone to errors, especially when processing large amounts of data. AI-supported systems work with a high degree of precision and minimise the risk of miscalculations or incorrect data transfers. - Scalability
With AI, companies can scale their processes without having to build up additional human resources. This is particularly crucial in growth phases in order to react flexibly to increasing demands. - Cost savings
By automating processes, companies can achieve significant cost savings. This not only applies to working hours, but also to the avoidance of errors, rework and delays. - Improved customer experience
Faster processing times and more precise results lead to greater customer satisfaction. Automated processes enable companies to respond more quickly to customer enquiries and offer tailored solutions. - Data-based decision-making
With AI-supported analyses, companies can gain valuable insights from their data. This supports well-informed decision-making and makes it easier to identify trends, risks and optimisation potential.
Examples of applications from various industries
The areas of application are diverse and possible for all industries. We have listed some examples for you below.
- Insurance industry
- D&O insurance: mgm AI Suite automates the processing of requests for quotations by extracting data from e-mails and attachments, evaluating risks and calculating premiums.
- Claims management: AI can analyse claims reports, classify documents and detect fraud, significantly reducing processing time.
- Healthcare
- Writing medical reports: automated modules structure and create medical reports more efficiently, reducing documentation time by up to 30%.
- Patient admission: AI-supported systems can capture and process patient data to speed up the admission and discharge process.
- Retail and e-commerce
- Dynamic pricing: AI analyses market conditions in real time and adjusts prices dynamically to maximise sales.
- Supply chain management: automated systems optimise inventory levels and supply chains, reducing costs and delivery times.
- Tax advice and public authorities
- Electronic tax returns: systems such as ELSTER process millions of tax records quickly and accurately, reducing the burden on citizens and authorities alike.
- Risk assessment in the Money Laundering Act (GWG): AI analyses questionnaires and identifies potential risks to ensure compliance with legal requirements.
- Production and industry
- Quality control: AI automatically detects production errors and optimises manufacturing processes.
- Predictive maintenance: Sensors and AI algorithms monitor machines and predict maintenance needs to minimise downtime.
- Financial services
- Credit checks: AI analyses credit applications, assesses risks and makes recommendations for decisions – all in a matter of seconds.
- Fraud detection: By analysing transaction patterns, AI detects suspicious activity and prevents potential damage.
A specific example: Directors & Officers (D&O) insurance
Directors & Officers (D&O) insurance protects executives from personal liability claims. Preparing an offer for this insurance is often complex, as a large amount of data, such as balance sheets, organisational charts and claims histories, must be collected, evaluated and processed manually.
The mgm AI Suite fully automates this process:
- Data extraction: Information from e-mails and attachments is automatically read and structured.
- Risk assessment: The AI analyses factors such as industry, financial stability and claims history.
- Premium calculation: Based on the data, the AI creates a precise offer.
An offer that used to take 53 minutes can now be completed in just 6 minutes.
The result: fewer errors, faster processing and higher customer satisfaction. Brokers and insurers alike benefit from the efficiency and precision of AI.
Conclusion
AI-supported process automation is a game-changer for companies that want to increase their efficiency and focus on value-adding activities. The mgm AI Suite offers customised solutions that not only save time and money but also increase the quality and reliability of processes. From the insurance industry to healthcare and retail, the possible applications are many and varied.
It is time to exploit the potential of AI and focus on the essentials: innovation, growth and customer satisfaction.
