Finance & Services
Insurance
Insuring more people does not depend on taking more risk. It depends on assessing it faster.
According to Peru's SBS, insurance premiums equaled 2.04% of GDP in June 2025. The opportunity lies in reducing the cost of assessing and servicing each policy.
The industry challenge
Peru’s insurance market is not saturated. It is underserved.
Penetration remains well below the regional average, not because demand is missing. Underwriting a policy and handling a claim still cost the same regardless of risk size, making low-ticket segments unviable. AI applied to underwriting and claims changes that equation: it reduces assessment costs, not assessment standards.
The technology to close that gap exists. What is missing are teams that know how to apply it to the process, not the lab.
At JoyIT, AI-Powered engineering teams integrate Artificial Intelligence into underwriting, fraud detection and claims automation, accelerating processes without increasing risk.
Four fronts where AI changes business outcomes
01.Automated underwriting and assessment
Underwrite in minutes, not days. Models automatically assess standard risks so people can focus on cases that genuinely need their expertise.
02.Fraud prevention and detection
Detect fraud without delaying legitimate policyholders. Detection based on claims patterns, calibrated in both directions: holding up a valid claim also costs reputation and retention.
03.Digital claims management
Turn a claim into an experience, not a procedure. Self-service, mobile claim reporting and image-assisted assessment let policyholders check their case status without having to call.
04.Insurance core integration
Connect to the insurance core without rewriting it. Integration with the core, policy systems and sales channels brings new capabilities to the product without stopping existing operations.
The size of the opportunity, with the source in view
- Less time managing claims
- More capacity to detect fraud
- Less time in operational processes
A claim file can contain medical history, police reports and financial data.
It is probably the most sensitive information your operation handles, and it passes through many hands: adjusters, repair shops, medical centers and third parties. Copying production data into QA, training models or sharing data externally requires real controls. We define roles, anonymization and security measures before touching the system.
Our process, with timelines in view
HOME
A leading property and life insurer operating nationwide.
- Customer and underwriting portal UX/UI
- Automatic risk assessment engine
- Claims fraud detection
- Self-service claim notification and tracking
- Image-assisted assessment
- Policy core and sales-channel integration
Home underwrote every policy manually without distinguishing standard cases from those requiring review, delaying issuance. Fraud detection was case by case, while claims notifications depended on phone calls with no status visibility. Each new digital capability required modifying the policy core, affecting operations.
Digital underwriting and claims management portal Problem → Solution → Technologies → Result
Do you work with our current insurance core, or must we migrate?
We work with what you already have. Most insurance AI projects connect existing policy and claims data rather than replace the core.
How can an underwriting decision be explained to regulators or policyholders?
Explainability is a design requirement, not an add-on. We use models and traceability to show why a case was approved, referred or priced a certain way, with a record of the variables that shaped the decision.
What happens to policyholders’ sensitive data during development?
We define roles, access and anonymization before writing the first line of code. Development and test environments do not use real files without a treatment plan agreed with your risk and legal teams.
Does automation replace the underwriter?
No. Automation handles standard cases so underwriters can focus on complex files, where their judgment truly shapes the portfolio's technical performance.
Do we own the code and models?
Yes. The client owns the intellectual property we create, with documentation so your team can operate and audit it without us.
Do we hire a project or a team?
Both models are available. In insurance, a dedicated team often works better because the model needs recalibration with each claims cycle.