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EASE OF USE & PRACTICAL EXAMPLES

Practical application

QUESTIONS & ANSWERS

1. Fundamentals of Artificial Intelligence

  • Artificial intelligence is software that performs tasks that previously required human thinking – e.g., understanding texts, analyzing data, or suggesting decisions.


    Insurers benefit from this because AI can quickly recognize and evaluate large amounts of information and derive meaningful courses of action from it.

    • AI is the umbrella term for intelligent systems.

    • Machine Learning (ML) refers to models that learn from data.

    • Large Language Models (LLMs) are AI systems that understand, structure, and interpret language.


    LLMs are particularly valuable to insurers because they can professionally understand texts such as claims reports, expert opinions or emails.

  • Because AI is now ready for practical use :

    • She works quickly and precisely.

    • She can take on complex specialist tasks.

    • It drastically reduces costs and processing times.


    This opens up enormous potential for savings, particularly in the insurance industry.

  • Classic software follows rigid rules.
    AI interprets content, draws conclusions, and adapts to new data.


    For insurers, this means:
    An AI automatically detects coverage gaps, damages, risks, or necessary documents – without manually predefined rules.

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QUESTIONS & ANSWERS

2. Benefits & Potential for Insurers

    • Up to 40% lower processing costs

    • Up to 70% shorter lead times

    • Fewer errors

    • Improved customer satisfaction

    • Higher productivity

    • Claims management (photo, video, text)

    • Underwriting and risk assessment

    • Contract amendments (inclusions, exclusions, cancellations)

    • Customer service / Email/document interpretation

    • Fraud detection

    • Building and inventory analysis

    • Analyze documents

    • Conduct coverage checks

    • Estimate damage costs

    • Suggest action steps

    • Extract data

    • Prioritizing processes

    • Rapid analysis of customer data

    • Preparation of risk reports

    • Automated responses

    • Support with consulting and sales

    • Efficient document processing

QUESTIONS & ANSWERS

3. Practical Use Cases in the Insurance Industry

  • AI can:

    • Analyze damage patterns

    • Identifying fraud patterns

    • Check coverage

    • Provide reserve suggestions

    • Payout recommendations

    • Request documents automatically

    • Risk assessment based on all available data

    • Building valuations (including 3D scan)

    • Scoring and risk recommendations

    • Comparison with reference conditions

  • The AI reads the request, e.g.:
    "Please remove person X from the contract."
    → It recognizes the process, contract type, necessary steps, and data fields.
    → The clerk only needs to confirm.

    • Pre-sorting of emails

    • Suggested answers

    • Recognition of the business transaction

    • Assignment to teams

    • Document completeness check

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QUESTIONS & ANSWERS

4. Start and introduction in the company

    • Select a small, clear use case

    • Define data paths

    • Launch first pilot environment

    • Measuring results

    • Scaling

    • With 9elf26.ai, a pilot project often only takes 4–6 weeks.

    • Transparency regarding goals

    • Simple training courses

    • Clearly define roles

    • Involving employees in pilot phases

    • Take concerns seriously (“AI doesn’t replace – it relieves”)

    • Projects that are too large

    • Lack of clear goals

    • No process owner

    • No testing strategy

    • Unclear data quality

  • No – but you need:

    • Process knowledge

    • Expert decision-makers

    • IT contact person
      The platform handles the complex AI functions (e.g., 9elf26.ai).

KI für Ihre Versicherungsprozesse

AI for your insurance processes

Central AI platform for property, life, and health insurers

QUESTIONS & ANSWERS

5. Integration into systems & processes

  • Via APIs or batch processes.
    9elf26.ai is compatible with systems such as:

    • Inventory management systems (e.g. V'ger, Guidewire, msg, adesso)

    • Third-party systems (CRM, claims portals)

    • Document management systems

  • For example:

    • Documents

    • Emails

    • Images/Videos

    • Master data

    • Conditions
      The AI does not require any special formats – PDFs, JPGs, DOCX or structured data are sufficient.

    • Technical tests

    • End-to-end tests

    • Versioning (e.g., every prompt and every model is historized)

    • Monitoring of results

    • Quality metrics

  • The AI recognizes the process → classifies it → suggests measures → automatically executes work steps.
    The human confirms or corrects.
    Human + AI result in maximum process quality.

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QUESTIONS & ANSWERS

6. Security, Regulation & Governance

  • Yes.
    However, insurers must take note:

    • EU AI Act

    • GDPR

    • BaFin requirements for traceability
      9elf26.ai meets all relevant requirements.

    • Processing in Europe

    • No data storage without consent

    • Pseudonymization

    • Audit trails

    • Encryption

  • Yes.
    The platform shows:

    • Which input data was used

    • Which rules were applied?

    • What results were produced?
      This is essential for regulation and quality.

    • AI Manager

    • Quality management

    • AI usage policy

    • Monitoring & feedback loops

QUESTIONS & ANSWERS

7. Economic efficiency & strategic importance

  • Many projects achieve positive effects after just 3–6 months:

    • Less processing time

    • Lower administrative costs

    • Better completion rates

    • Fewer follow-up questions

    • Clerks are relieved of routine tasks.

    • Work is becoming more technical, less administrative.

    • AI provides decision suggestions, not final decisions.

    • Faster processes

    • Higher customer satisfaction

    • Lower cost base

    • Access to more automation

    • Competitive advantages

  • Yes, in the long term:

    • Pay-per-use

    • Prevention instead of reaction

    • Automated risk scoring models

    • Faster product development

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QUESTIONS & ANSWERS

8. Specifically regarding 9elf26.ai

  • A fully operational AI platform for insurers, brokers and service providers.
    It combines state-of-the-art AI with over 30 years of experience in insurance IT.

    • Claims management

    • Coverage analysis

    • Contract processes

    • Risk assessment

    • 3D building analysis

    • Inventory lists

    • Customer communication

    • Via standardized APIs

    • Batch process

    • No changes to core systems are necessary

    • Rapid piloting

    1. Kick-off and selection of the use case

    2. Data connection

    3. First results in a few days

    4. Technical fine-tuning

    5. Rollout into the organization

    • Focus on insurance processes

    • Ready-to-use AI modules

    • High level of expertise

    • Direct integration

    • Transparent Governance

    • Low costs, fast results

    • German/European Compliance

Ready for the next step?

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