AI for Insurance

We support insurance providers across Belgium, mutualités, health insurers, and large firms, by helping them integrate AI into their daily operations. From processing references to automating internal workflows, we make insurance teams faster, more reliable, and more data-driven.

Behind every claim, form, or customer request in insurance lies a complex web of manual steps, rules, and reviews. From processing documents and invoices to calculating reimbursements and answering client queries, these tasks are essential, but often time-consuming and error-prone.

Sagacify helps insurers overcome these operational bottlenecks through practical, tailored AI. Whether it’s automating benefit calculations, deploying chatbots for advisors and clients, or generating responses from thousands of incoming emails, our solutions help teams scale intelligently and focus on what really matters: delivering value with speed and precision.

Challenge 1

Document & Email Processing

As volumes of emails and documents grow, insurance teams struggle to keep up with classification, data extraction, and response. From customer inquiries and medical forms to contracts and claims, this daily workload slows operations, increases the risk of errors, and adds pressure to already overloaded teams.

Collapsed Solutions

AI-Powered Document Classification & Data Extraction

AI systems classify incoming documents like claims, health forms, and contracts, then extract key data points based on document type. This reduces manual sorting, accelerates case processing, and ensures consistency across formats.

Email Understanding & Routing

Incoming emails are automatically analyzed to identify intent, extract key fields, and determine the appropriate next action. Messages are either routed to the correct team or queued for automated response, reducing backlog and handling time.

Draft Response Generation

Language models generate high-quality draft replies based on the content of each email or document. Teams gain speed and consistency in communication, with significant time saved on repetitive inquiries.

Challenge 2

Processing Claims & Customer Requests

Processing claims and customer requests is a long, manual, and layered workflow. It involves collecting documents, checking policy conditions, verifying data across systems, performing reimbursement calculations, and following strict compliance steps. The complexity of the process often leads to delays, inconsistencies, and operational pressure.

Collapsed Solutions

Automated reimbursement engine

AI processes a variety of health-related documents, extracts key details (e.g. medication, treatment data, reimbursement codes), and applies rule-based logic to calculate and validate refund amounts. This significantly reduces manual workload, backlogs, and accelerates claim turnaround.

Document validation and request triage

AI systems review incoming claims, forms, and service requests to ensure they meet required formats, contain the correct fields, and follow submission rules. Valid files are then routed automatically to the right teams or systems, reducing manual filtering and response delays.

Virtual Claim Support Agents

AI chatbots handle routine queries, guides users through document requirements, and helps schedule appointments, offering immediate, 24/7 support. By resolving simple requests and routing complex ones to the right teams, these agents reduce service desk pressure and keep claims moving efficiently.

Challenge 3

Detecting Anomalies & Preventing Fraud

Detecting fraud, irregular reimbursements, and system misconfigurations requires constant monitoring across claims, forms, and transactions. Each case requires cross-checking data from multiple systems and reviewing documents in detail. The process is time-consuming, error-prone, and often struggles to keep up with operational demands.

Collapsed Solutions

Revenue Leakage Detection

AI-powered anomaly detection systems analyze historical reimbursement data to uncover hidden revenue losses. By comparing actual invoices with expected billing patterns, the solution identifies underbilling anomalies such as missing charges, miscoded procedures, or incomplete submissions. This automated validation process reveals leaks that often bypass traditional controls.

Real-Time Claim Screening

Real-time fraud detection tools automatically screen incoming claims to flag duplicates, suspicious overlaps, and near-identical submissions. By analyzing metadata, such as patient ID, treatment type, and submission timing, these systems identify irregularities early and prevent fraudulent or erroneous claims from entering the reimbursement process.

Client Stories

Head of Operations, Besix

“Their team was hands-on, sharp, and easy to work with. The training made adoption seamless, even for non-technical users.”

Digital Project Manager, X-RIS

“They didn’t just deliver tech — they listened, challenged us, and built something that made sense for our teams. That made all the difference.”

CTO, Cliniques Universitaires Saint-Luc

“Sagacify helped us cut through the noise and focus on AI that actually solved a business problem. The deployment was smooth and the results tangible.”

Head of Operations, Besix

“Their team was hands-on, sharp, and easy to work with. The training made adoption seamless, even for non-technical users.”

Head of Operations, Besix

“Their team was hands-on, sharp, and easy to work with. The training made adoption seamless, even for non-technical users.”

Digital Project Manager, X-RIS

“They didn’t just deliver tech — they listened, challenged us, and built something that made sense for our teams. That made all the difference.”

CTO, Cliniques Universitaires Saint-Luc

“Sagacify helped us cut through the noise and focus on AI that actually solved a business problem. The deployment was smooth and the results tangible.”

Head of Operations, Besix

“Their team was hands-on, sharp, and easy to work with. The training made adoption seamless, even for non-technical users.”