Insly Unveils Study on AI Return in Insurance Sector

Insly, the low-code software provider to the insurance industry, has released a new report examining artificial intelligence adoption across the insurance sector. 

The study, launched at The BIBA Conference 2025, provides insights from organisations currently using the technology and identifies effective implementation approaches.

The report arrives as the industry continues to navigate the potential of AI technologies two years after the launch of ChatGPT. 

Despite widespread experimentation, many managing general agents (MGAs) and insurers remain uncertain about successful implementation strategies. 

Research from Boston Consulting Group indicates 74% of companies face difficulties achieving scalable value from AI.

“Everyone's scrambling to figure out how to 'leverage AI' for their business, especially after reading that all their competitors are already pros at it (spoiler: they aren't),” says Risto Rossar, CEO of Insly. 

“This leads to a fair bit of panic and, let's be honest, some questionable investments.”

Real-world applications and benefits

The report examines how AI can enhance speed, efficiency, innovation, customer experience, and decision-making processes within insurance operations. 

It identifies applications across the insurance lifecycle where AI tools are transforming processes and supporting business growth.

The research explores use cases where technologies such as optical character recognition, large language models, and machine learning are being deployed effectively.

Risk management considerations

Implementation barriers receive substantial attention in the report, including trust issues between humans and AI systems, privacy and security concerns, change management requirements, integration challenges, and data quality problems.

The study provides frameworks for MGAs and insurers to evaluate potential AI investments against business objectives and risk tolerance. It offers guidance on measuring return on investment through both quantitative metrics and qualitative improvements.

"Implementing AI can seem daunting for MGAs and insurers, but it doesn't have to be," comments Risto. 

"By focusing on small, defined use-cases and building adoption from there, any company can start feeling the benefits of the technology faster than they may think, while ensuring they're prepared for an AI-powered future."

Industry expertise

Insly brings relevant sector experience to the research. Founded in 2013 by Risto, who established the first digital insurance broker globally in 2000, the company provides modular solutions spanning the insurance lifecycle. 

These systems are designed to integrate through open application programming interfaces (APIs), which allow different software systems to communicate with each other.

The report indicates that improved workflows and automation enable Insly customers to handle approximately double the gross written premium compared to previous systems. This improvement comes alongside enhanced business visibility and analytical capabilities.

The comprehensive study aims to provide insurance professionals with practical guidance for navigating AI implementation decisions amid market pressure to adopt these technologies. It addresses both technical and organisational factors affecting successful deployment.

"By focusing on small, defined use-cases and building adoption from there, any company can start feeling the benefits of the technology faster than they may think, while ensuring they're prepared for an AI-powered future," says Risto.

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