Sanitas, a health insurer in Spain, coordinated member reminders across WhatsApp, SMS, and Push, driven by a unified CDP and a Gen AI bot. Members stopped playing phone tag and started confirming.
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Insurance runs on two moments that matter and a long silence in between. indigitall fills the silence. Real-time behavioral triggers recover abandoned quotes and half-finished applications. Encrypted Push replaces the cost and fraud exposure of SMS for OTPs, claims alerts, and policy documents. AI resolves routine policy and claims questions instantly. One unified profile connects marketing, service, and claims across every channel. One platform. One view of every policyholder. Zero conversations lost between teams.
Insurance teams carry three problems no generic platform was built to solve. The cost and fraud exposure of SMS for verification and claims alerts. Quotes and applications abandoned at the exact moment intent peaks. And customer data spread across policy admin, claims, and the call center, so no team sees the whole policyholder. indigitall addresses all three from one platform. Encrypted Push kills the SMS cost line. Behavioral triggers recover abandoned quotes in real time. A CDP gives underwriting, marketing, service, and claims the same view of every customer.
OTPs, claims-status alerts, and policy documents delivered inside your trusted app. End-to-end encrypted. Phishing-resistant. No SIM-swapping exposure. No SMS-pumping risk.
The moment a customer exits a quote or a policy application, a behavioral trigger fires. Retargeting across Push, WhatsApp, and email brings them back before the price comparison window closes.
The indigitall CDP unifies identity across app, web, WhatsApp, broker, and call center. Underwriting, service, and claims work from the same record. Bundle signals surface at the right moment, not after the customer has already renewed elsewhere.
Coverage checks, claim status, document requests, payment scheduling, resolved instantly by an AI Agent trained exclusively on your data. Strict RAG on your content only. No public-LLM hallucinations, no data leaks. Human agents handle what only humans can.
SMS was built for text messages. It was not built to carry OTPs, claims alerts, or policy documents that contain personal, financial, and, for health lines, medical data. Some channels have structural vulnerabilities that no implementation can fix. So we never send sensitive insurance data on them.
Vulnerable to SIM swapping, phishing, and SMS pumping. A single SMS-pumping campaign can spike verification costs 300% overnight.
No guaranteed real-time delivery. No end-to-end encryption on most client implementations. Not acceptable for time-sensitive claims or payout notifications.
Platforms that cannot sign a data-processing agreement covering personal, financial, and health data are excluded from any sensitive flow.
End-to-end encrypted, delivered inside your trusted app. Lock-screen content masked until biometric authentication. Phishing-resistant by architecture.
Two-way messaging inside the authenticated app. No preview exposure. Full audit trail for claims and policy correspondence.
End-to-end encrypted by Meta. Acceptable for non-OTP policy and service communications. indigitall holds Meta Business Partner Tier 1 status.
Pick a journey to see how it plays out across every channel: behavioral triggers, AI personalization, and a live phone preview showing exactly what the policyholder receives at each step.
Sanitas, a health insurer in Spain, coordinated member reminders across WhatsApp, SMS, and Push, driven by a unified CDP and a Gen AI bot. Members stopped playing phone tag and started confirming.
BCP used Web Push Retargeting to recover customers who abandoned applications mid-form, targeting them with behavioral segmentation at the exact stage of dropout. The direct analog to insurance quote abandonment.
ABANCA deployed a generative AI bot trained exclusively on proprietary content. Customers get instant answers, without the risk of hallucination or data leakage to a public LLM. The model for insurance policy and claims FAQ.
Source: indigitall production data (Sanitas, health insurer, Spain; BCP and ABANCA, financial services; 2026).
See More Success StoriesSource: indigitall production data. Sanitas and Vithas (health, Spain), BCP and ABANCA (financial services), 2026. SMS cost reduction is a case-study median across financial services deployments.
With indigitall, an insurer starts its customer data platform from the objective, not from every field: the documentation puts data quality ahead of quantity and asks for a governance model. Contacts arrive from the CRM through the API, set up by IT staff, or by CSV upload, each with a unique external code such as an insurance policy number, and contact fields hold the attributes each department needs for its journeys.
| Step | How it works | What to know |
|---|---|---|
| Define the use first | Choose the journeys and segments the platform must feed before loading fields | The documentation puts objectives and data quality before volume |
| Load the contacts | CRM sync by API or CSV, with a unique external code such as a policy number | The API setup is done by the insurer's IT staff |
| Add fields for each department | Contact fields of type Number, String, Date or Date and time; Journey Only fields for attributes and Journey Only (Aggregated) for calculated metrics | The field name must match the name in the CRM exactly |
With indigitall, the AI agent works with the information the insurer decides to give it, the data belongs to the organization, and the conversation can be transferred to an unlimited, configurable number of human agents. The generative AI chatbot adds a security filter, a blacklist with temporary bans and analytics of fallbacks, so the team can see which questions the bot could not answer. The documentation gives no accuracy rate, so an insurer should test its own quote and coverage questions before going live.
| Risk | Control | What to know |
|---|---|---|
| A wrong answer on a quote or coverage | The agent answers from the information the insurer provides, and fallbacks are reported | No accuracy rate is published, and the insurer owns the content it provides |
| A question the bot should not decide | Transfer to a human agent in the Contact Center with full context | The documentation does not list which topics must be transferred, so the insurer decides |
| Abuse or off-topic use | Security filter and a blacklist with temporary bans | Both are settings of the generative AI chatbot |
With indigitall, a customer who writes first opens a 24-hour service window in which free-form replies are allowed, and after it closes only approved templates can be sent. A claim-status update goes as a utility template, and an offer sent as utility is rejected. As of October 2026, Meta says WhatsApp does not deliver marketing templates to US phone numbers, so a renewal offer to a US customer goes by push, email or SMS, and US SMS requires brand and campaign registration.
| Message | Channel | What to know |
|---|---|---|
| A customer asks about a claim | WhatsApp, free-form reply inside the 24-hour window | After 24 hours only an approved template can be sent |
| A claim-status update | Utility template | Offer content sent as a utility template is rejected |
| A renewal offer to a US customer | Push, email or SMS | WhatsApp marketing templates do not reach US numbers, and SMS needs brand and campaign registration |
With indigitall, yes. The security documentation says indigitall is HIPAA-ready and can sign Business Associate Agreements with US healthcare organizations, digital health platforms and insurers, and that its Encrypted Push Notification Service passed a HIPAA compliance audit, with a final report dated May 2025. The audit covers that service, not the whole platform.
With indigitall, a Customer Journey starts from events and behaviors and can send by push, email, SMS and WhatsApp in one flow. For SMS to US numbers, carriers require brand and campaign registration and proof of the opt-in, and approval times vary, so the insurer should register before the first campaign.
With indigitall, the security documentation lists a SOC 2 Type II report dated January 2026, ISO/IEC 27001:2022 valid until July 2029 and an external GDPR and LOPDGDD verification valid until April 2027. It also lists TLS 1.2 or higher in transit, AES-256 at rest, and role-based access with multi-factor authentication.
With indigitall, the Contact Center puts AI and human agents in one inbox, organized in groups, and each user gets a permission profile per project: full permissions, no permissions, auditor, supervisor or agent. A supervisor sees contacts on hold, available agents and waiting times, and can reassign conversations.