Make Underwriting Faster, Smarter, and More Consistent

Bernoly unites data, automation, and human judgment in one transparent workflow, helping insurers improve pricing accuracy, risk evaluation, and portfolio visibility.

Talk to us

Challenge

Underwriting remains one of the most data-heavy and manually fragmented areas in insurance.
Teams spend valuable time verifying documents, re-entering information, and chasing data across systems, slowing down risk decisions and increasing inconsistency.
The challenge is to improve speed and accuracy without compromising compliance or control.

Bernoly’s Approach

Bernoly brings intelligence and structure to the underwriting process.
It connects data sources, applies rule-based automation for validation, and uses AI agents to pre-evaluate risks or highlight missing information.
Human underwriters stay in control, reviewing, adjusting, and approving with full transparency into how decisions were formed.
This approach shortens underwriting cycles, improves pricing consistency, and gives insurers a clear view of portfolio performance.

Automated Rule Execution

Automates repetitive steps whileallowing experts to focus on decision making.

AI-Assisted Risk Assessment

Reduces manual data entry and improves quoting accuracy for brokers and agents.

Data Integration and Enrichment

Pulls validated data from policy, claims, and customer records for a 360-degree risk view.

Human AI and Collaboration

Human AI collaboration can adjust decisions or override rules with a complete audit trail.

Portfolio Monitoring

Real-time analytics track performance and highlight emerging risk trends.

Benefits and Outcomes

Up to 40% reduction in manual underwriting steps

More consistent pricing and approval standards

Real-time portfolio visibility and performance metrics

Improved compliance through traceable, rule-driven logic

See How Bernoly Modernizes Underwriting

Explore how automation and AI support — not replace — human expertise.

Talk to us

AI in Insurance: Case Studies and Insights

AI strategy for ChatGPT 12.0
To be published on 1 December 2025
How personalized experiences can drive loss ratios?
To be published on 15 November 2025
Why Tsetlin machines could be the future of insurance modeling?
To be published on 15 December 2025
WhatsApp in Insurance: how can it make an impact?
Policy support in your pocket.
Opportunity in conversational engagement for insurers
Turning chats into customer connections.