High volume of routine enquiries (claim status, policy changes, coverage questions) ties up specialists in day-to-day work.
Document-heavy, manual processes: claims intake, application review and data transfer from PDFs and forms.
Qualifying inbound enquiries and routing them to the right specialist costs time and creates waiting periods.
Highly sensitive data: personal, health and financial data require strict revDSG/nFADP compliance.
Multilingual service across German-, French- and Italian-speaking cantons.
Fragmented data and legacy systems make fast access to contract and customer information difficult.
Where AI helps
Qualify and triage enquiries
An AI agent answers standard questions around the clock, captures the required details in a structured way, qualifies prospects and hands complex cases with context to the right advisor – so only relevant matters reach the team.
Automate routine processes
With AI Automation you can speed up claims intake, data extraction from forms and PDFs, and the pre-check of recurring cases – manual transcription errors drop and case handlers gain time for advisory work.
Knowledge assistant for advisors
An internal AI agent searches policies, terms and process documents and gives advisors precise, sourced answers in seconds – instead of long document searches, with a clear reference to the source.
Data-protection-first roadmap
AI Consulting helps prioritise the right use cases and set them up revDSG-compliant from the start, with clear data handling and human-in-the-loop controls – pragmatic and tailored to your operational reality.
What practical AI can look like in insurance
The following examples are illustrative and show typical starting points – not measured results. Which of them make sense for you depends on your processes, systems and data situation.
A first-contact agent on the website and email answers, for example, coverage and deadline questions, captures case details and proposes an advisory appointment.
For a claim notification, an automation flow typically extracts structured data from forms, checks completeness and presents the case prepared for release.
An internal assistant answers advisors' questions on terms and processes – with source references, so the answer stays traceable.
How we work – data protection and control first
We start with a clearly scoped use case rather than a large project. First we clarify which data is actually needed, where it is processed and how revDSG requirements can be met.
Decisions with consequences for customers stay with people: AI prepares, suggests and relieves – the release is made by your specialists. This preserves quality, accountability and trust.
No. The approach is to automate routine work and pre-qualify enquiries so your specialists have more time for advisory work and decisions. Cases with consequences stay in human hands.
What about data protection under revDSG?
Data protection is the starting point, not an afterthought. Per use case we clarify which data is needed and where it is processed, and align processes with revDSG/nFADP requirements. We do not replace specific legal advice.
Does it work multilingually for all of Switzerland?
Yes. Enquiry agents and assistants can be set up for German, French and Italian, so customers are served in their language and matters are routed correctly.
Where is the best place to start?
Typically with a well-scoped, high-volume use case with a clear process – for example pre-qualifying enquiries or claims intake. This makes value and effort visible early, before you roll out more broadly.
Can AI connect to our existing systems?
In many cases yes, depending on the available interfaces. At the start we assess what is technically sensible and feasible with reasonable effort, and choose a pragmatic path rather than a full rebuild.
AI for your industry – concretely
In a short call we show which building block makes the biggest difference in your sector.