AI in insurance companies: up to 40% higher productivity — and what comes next

For decades, the insurance sector treated technology as a supporting player relying on transactional systems, back-office processes, and extensive manual analysis. That dynamic has shifted—and the results are already showing.

Processes such as digital inspections, credit analysis, fraud prevention, claims adjustment, and customer service are seeing productivity gains of up to 40% through the use of artificial intelligence. In call centers and customer support, efficiency can rise by as much as 35%, particularly in areas like triage, initial inquiries, and the automation of repetitive tasks.

The market is already convinced

Market data confirms this trend. According to an Accenture study, approximately 79% of insurers believe that generative AI will be pivotal in transforming the sector's productivity and operating models over the next three years. A Deloitte survey indicates that companies are prioritizing investments in automation and AI precisely because of the pressure to improve efficiency and reduce costs.

The timing is particularly significant: data from the National Confederation of Insurers shows an expanding market, which heightens the need for scalability and an improved customer experience.

For Nassif, Business Director at Grupo Taking, this shift is structural:

"Artificial intelligence is now directly impacting operational productivity, facilitating faster decision-making, automating complex tasks, and allowing human teams to operate much more strategically."

AI has also made its way into IT teams

This trend isn't limited to business units. We recently deployed our proprietary platform, TATe AI, in technology development projects for two major Brazilian insurers. Its use accelerates development stages, supports technical specifications, and reduces the operational workload for teams.

While the final figures are still being consolidated, significant gains are also expected in the development and maintenance of IT projects.

The next stage isn't just automation

This is the point that distinguishes those who truly understand the technology from those who have merely purchased it.

"The market has spent a long time discussing artificial intelligence in terms of automation. The next stage is different. The real gain comes when AI can augment people's work, reduce operational tasks, and free up time for decisions that truly drive business value," explains Nassif.

The difference is subtle in words but huge in practice. Automating tasks saves time; empowering people changes results.

No longer an experiment

The phase of pilots and proofs of concept is now in the past. “We are entering a phase where technology begins to have a direct impact on productivity, operational efficiency, and profitability,” states Nassif.

Those who join this movement sooner tend to gain scale and competitiveness.

Read the full article in Seguro Total Magazine →