Policyholders no longer compare you with another insurer. They compare you with their bank, their streaming app and the shop where they bought something yesterday with one tap. If filing a claim or getting a copy of a policy still means a phone call during office hours and a wait for an agent, customer service becomes the weakest link in the whole insurance product. For a director of customer service or digitalisation, that is a real risk: churn on one side, rising first-line costs on the other.
In our experience, the hard part is not designing a nice screen but wiring self-service into the core systems and shaping it into processes that survive years of operation. You do not always have to build a department from scratch to do this. More often you need a team that understands the digital layer, understands how insurance actually works, and can deliver the portal, the app and the service automation end to end.
What do policyholders expect today?
Expectations have shifted toward full independence from the hotline. The customer wants to handle their business themselves, immediately, from a phone, and treats talking to a person as an option for harder cases, not the only route.
In practice that means a few hard requirements: a view of their policies and premiums without logging into three separate systems, filing a claim with photos attached in a few minutes, documents and certificates on demand, and clear information on what is happening with their case. Deliver that, and you take load off the first line while genuinely improving retention.
How do you build an insurance self-service portal?
The portal is the foundation of self-service and the heart of the whole ecosystem. We design it so the customer can settle the most important matters in one place, and the insurer does not have to handle them by hand.
- a customer account and profile with relationship history and consents,
- a view of policies, premiums, deadlines and payment statuses,
- claims and request submission with attachments and progress tracking,
- a document repository (policies, certificates, endorsements) to download on demand,
- integration with the core system via APIs, so data stays a single source of truth.
That last layer is the decisive one. A portal with no link to the policy core and the claims system is just a pretty shell, so we design it around APIs and events rather than around individual screens.
Why does an insurer need a mobile app?
A mobile app is not a smaller copy of the portal. It is a channel that uses what a browser cannot: the camera for claim documentation, push notifications, biometrics for login, and geolocation when an incident is reported. For motor or property insurance, filing a claim straight from the scene cuts the process from days to minutes.
We build native apps (iOS, Android) or take a hybrid approach, depending on how heavily they rely on device features and how fast they need to ship. Whatever the technology, we run them on the same backend and APIs as the portal, so the customer sees one consistent picture regardless of channel.
How does a notification and renewal-reminder engine work?
Good service is proactive. Instead of waiting for the customer to remember a lapsing policy, we tell them at the right moment, through the right channel. Underneath sits a notification engine driven by events and schedules.
- events from the systems (an upcoming renewal, a registered payment, a claim status change),
- schedules for recurring reminders about premiums and renewals,
- multichannel delivery (push, email, SMS) with customer preferences and consents,
- content personalisation based on the policies held and the stage of the case.
An engine like this turns renewals from a missed opportunity into a predictable process, and service from reactive into proactive.
What is an AI agent for first-line support?
A large share of the first line is repetitive questions: scope of cover, the claims procedure, case status, documents to download. This is exactly where an AI agent built on RAG and an LLM answers instantly, grounded in your knowledge and policy wording rather than in model hallucinations. The decisive principle here is safe escalation: when a case is complex or sensitive, the agent hands it to a person with full context instead of pretending it can cope.
This is the one piece of the puzzle for which we have hard delivery proof. For UNIQA we built an AI assistant supporting the service team across omnichannel, combining knowledge-base retrieval with generative answers. It shows that AI on the front line works when it is embedded in real service processes, not bolted on beside them.
How do you organise complaint handling?
Complaints are a regulated process with deadlines and a decision path, so we treat them as a workflow, not an inbox. A complaint enters the system with an unambiguous status, is routed to the right person or team, is watched by an SLA, and every step is recorded for audit and regulatory reporting.
A flow like this gives the customer predictability (they see where their case stands) and the insurer control over deadlines and a full history of decisions. It is also the natural place where self-service, notifications and agent work meet in one coherent process.
How do you handle security and identity?
Insurance service touches sensitive data, so we design identity and security from day one rather than adding them at the end. We rely on strong authentication, separation of privileges, and encryption of data in transit and at rest.
- login and MFA plus biometric login in the app,
- identity and access management (SSO, roles, least privilege),
- consents and an audit trail aligned with GDPR and supervisory requirements,
- data protection through encryption and environment segmentation.
Which skills do we provide for a customer-service project?
We shape the team around the specific scope, not “just in case”. For insurance customer-service projects we staff the roles that actually deliver the portal, the app and the integrations: solution architects, backend and frontend developers, mobile engineers, specialists in core-system integration, DevOps, and, where an AI layer is involved, data and LLM engineers. We verify skills before the start and scale the team up and down with the project phase.
How do we do it at RITS?
We work as a nearshore partner from Poland, in a close time zone, which makes code reviews, meetings and a shared rhythm easier. In insurance customer service we combine several things: product competence (portal, app, UX), the engineering to integrate with the core, and real AI experience, proven by our AI assistant for UNIQA.
Most often we do this as custom software built by our team and, where missing skills need topping up fast, as team augmentation. We covered the differences between these approaches in our article on IT engagement models.
Where to start?
Start from the single most painful path (usually filing a claim or renewing a policy) and from the question of which core systems self-service has to touch. That defines the portal scope, the integration architecture and the roles you need. You add the rest iteratively, instead of building everything at once.
Building modern customer service in insurance? Let’s talk - we’ll match a team and an architecture to your portal, app and service automation.