In recent years, companies have invested heavily in digital, form-based processes. However, these processes fall short for complex insurance products. Sophisticated policies, such as legal protection insurance, only sell when customers understand what they are buying. This requires guidance and a coherent advisory strategy. This is precisely where a new approach comes in.
AI-driven, dialogue-based advisory brings the expertise of the sales force into the online channel, achieving conversion rates far above those of traditional form-based processes without requiring additional staff. There are also no media discontinuities.
Demo to try out:
AI Sales Assistant
Why digital sales remain stalled
Anyone trying to purchase a complex insurance product online today is often faced with an overwhelming number of forms. There is no guidance, no explanation, and no sense of direction, which is what people need when making complex decisions. The consequences are well known: uncertainty, abandonment, and lost business.
At the same time, expectations continue to rise. People organize their daily lives digitally and around the clock. They stream, pay, book, communicate, and even receive medical advice — all within seconds and without friction. Against this backdrop, a static PDF form feels like an echo from another era.
Insurers feel this shift strongly. Although the digital share of new business is expected to grow, the most profitable products are still primarily sold through personal channels. This is not because offline is superior, but rather because digital advisory is lacking.
Where the real bottleneck lies
Insurance products cannot be understood simply by filling out forms. People want to know what is actually covered, which risks are relevant to their daily life, and which tariff fits their situation. Traditional forms do not provide this orientation. They collect data — but they do not offer explanations.
What becomes apparent in daily operations:
- high abandonment rates in digital journeys
- incomplete or incorrect applications
- unnecessary inquiries in service and underwriting
- low conversion despite solid demand
- digital channels that generate little return
The digital infrastructure exists. But it does not advise. And this lack of advisory quality slows down sales and prevents real growth.
How a digital advisor guides complex decisions
Our example use case shows how a dialogue-based AI assistant can conduct the entire advisory process for a legal protection insurance product, using natural language. It is easy to understand, structured, and personal.
The assistant guides users through all key steps:
The principle is simple. The advisory logic mirrors the proven sales consultation process, but without the wait times or capacity limits. Rather than an anonymous process, customers experience a guided interaction. This combination of transparency and guidance has been shown to increase the likelihood of completing the purchase.
Demo to try out:
AI Sales Assistant
The measurable difference in sales performance
Projects with insurers show clear results:
The effect has two layers: higher performance today creates a scalable advisory model for the years ahead.
Our approach. Fast. Structured. End to end
Building a digital advisory technology requires more than just an interface. It needs real logic, intuitive user guidance, reliable technology, and clean integration. DevelopX brings all these elements together.
Phase 1 — Understand the advisory logic (2–4 weeks)
We extract decision trees, risk pathways, and product logic and turn them into a clear target journey.
Phase 2 — Prototyping and user testing (4–6 weeks)
We build a functional mockup and test it with real users. Insights flow directly back into the journey.
Phase 3 — Development and integration (8–12 weeks)
We implement the solution in a production-ready manner and connect it to pricing engines, application systems, and tracking.
Phase 4 — Rollout and growth
We go live, measure performance, optimize continuously, and expand the solution to additional products.
The result is not a concept. It is functioning product technology.
How digital advisory fundamentally changes the market
Digital advisory is becoming a new standard, not as a gimmick, but as a competitive advantage. Insurers who take this step early benefit in multiple ways:
• a transparent, consistent digital sales process
• higher efficiency per customer
• clear differentiation in the digital market
The legal protection example is just one of many. The underlying logic can be easily transferred to other lines of business — whether P&C, risk life, or supplementary health. Even more complex policies benefit from the same dialogue-based structure because they require explanation and orientation. Those who invest in digital advisory now create an infrastructure that covers not just a single product but the entire portfolio, and remains scalable for years to come.
The next generation of digital sales is emerging now
Digital advisory is decisive for conversion, sales costs, and growth in the online channel. Insurers that digitize their advisory processes achieve visible results within weeks and build a scalable model for the future.
Three key action points:
- Identify processes that require advisory, not just data collection.
- Start with an interactive prototype instead of getting stuck in long concept phases.
- Measure success clearly through conversion, error rates, and digital new business.
Next step
Anyone who truly wants to scale online sales should experience the technology live.
Demo to try out:
AI Sales Assistant
Digital. Growth. Delivered.
FAQ
When is it worthwhile for insurers to use modern advisory assistants for complex insurance products?
They are valuable when advisory processes are time-consuming, error-prone, or heavily dependent on expert knowledge. Advisory assistants standardize decision logic, reduce complexity, and speed up the path to a recommendation or policy. This is especially beneficial in segments like disability, private health, commercial, or specialty insurance.
How do modern advisory assistants work in practice?
These systems analyze customer data, identify relevant need scenarios, and guide advisors through structured decision paths. They ask the right questions, validate tariff combinations, and generate recommendations based on predefined rules or AI models. The result is more consistent, efficient, and transparent advice.
What outcomes can insurers and distributors realistically expect?
Organizations typically see higher conversion rates, shorter advisory cycles, and fewer errors in needs assessment. Customers benefit from clearer explanations and more transparent decision-making. Companies also reduce training efforts because complex product logic is embedded in the system rather than relying on individual expertise.
Which insurers, distribution channels, and product types benefit most from advisory assistants?
They are ideal for insurers offering complex products, managing diverse sales teams, or operating in highly regulated environments. The strongest impact occurs in disability, private health, commercial risks, and tariffs with many configurable options. Advisory assistants add value across broker networks, tied agents, banks, and digital sales channels.