“How am I supposed to know which retirement plan is best?”

La Segunda Seguros is an Argentinian insurance group that provides personal and business insurance products across areas such as car, home, life, retirement, agricultural, and workplace risk insurance. 

In recent years, La Segunda has had a hard time explaining its retirement products in a simple and convincing way to potential customers, for instance:

• Futuro protegido: A flexible savings plan for people who want to gradually build capital for personal goals or retirement. 
• Plan inversor: Clients contribute regularly and can later access the accumulated funds either through recurring payments or a lump sum at retirement age.
• Plan rentista: A retirement-income product designed to generate recurring income payments from accumulated capital during retirement years. 

Most retirement-product consultations depend on human advisors, which creates several operational issues for both advisors and prospects:

• Customers receive different explanations depending on the advisor they spoke to
• Advisors spent significant time answering the same recurring questions
• Traditional FAQs and static web pages lack personalised, interactive guidance adapted to each customer’s situation 
• The sales process became difficult to handle at high volume.

As a result, potential customers often find it difficult to evaluate which retirement product suits their situation. And many times, they abandon the process before reaching a decision.

Over time, slower customer acquisition and rising advisory costs could reduce La Segunda’s competitiveness in the retirement insurance market. 

Retirement-insurance guidance is shifting from FAQs to AI conversations 

To help La Segunda Seguros modernise its retirement-product advisory process, Spanish solver Inbenta provides a conversational AI.

The chatbot guides users through retirement planning step by step, using chat and voice channels and asking practical questions about their age, income, savings, and retirement expectations.

Based on the answers, the platform helps users estimate:

• How long will their retirement savings need to last
• Whether their current savings strategy is sufficient
• The financial gap they may face in the future
• How different contribution scenarios could change their outcome.

The system then recommends next steps based on the user’s profile and can redirect them to relevant digital sales channels or product pages.

On the one hand, this reduces the need for advisors to repeatedly explain the same retirement concepts to each prospect.

On the other hand, the experience becomes more concrete for users since the AI translates some somewhat abstract retirement concepts into personalised financial projections and practical scenarios.

 

The EU-LAC Digital Accelerator provides pilot and funding guidance

• Service n°1: PoC design & Prototyping

Through the PoC Design & Prototyping service, the EU-LAC Digital Accelerator helps La Segunda Seguros and Inbenta structure and test their pilot project before a larger deployment.

The service helps both partners define:

– The objectives of the pilot
– The expected business and technical results
– The KPIs used to measure progress
– The milestones and timeline of the project
– The responsibilities of each partner.

This framework allows the partnership to test the conversational AI solution in a controlled environment and identify early whether the technology, user experience and advisory process meet the corporate’s expectations.

• Service 2: Access to funding

Through this service, the EU-LAC Digital Accelerator supports the partnership in preparing for future expansion by identifying funding sources.

The service includes guidance on:

• Which European, Latin American and Caribbean funding programmes fit the project
• Whether the partnership meets the eligibility requirements
• How to structure the project financially
• Which funding strategy best supports the next growth stage of the collaboration.

A validated AI use case = More customers for La Segunda & New markets for Inbenta

🛡️La Segunda Seguros (Corporate)

🤖 Inbenta (Solver)

Demonstrate that a conversational AI assistant can guide users through retirement planning in a clear and structured way across chat and voice channels. Reduce the amount of repetitive advisory work that sales teams handle manually by automating customer question handling, data collection, and first-step recommendations. Increase the number of users who progress from information gathering to concrete actions, such as requesting a quote or exploring a retirement product.

Demonstrate that its conversational AI solution can operate effectively in a retirement-planning environment with real users and business constraints. Improve the platform based on customer behaviour, user feedback and operational insights collected during the pilot project. Strengthen commercial credibility in the financial services sector by building a validated use case that can support future partnerships and market expansion.