Free your underwriters from tedious information gathering with an AI Agent

Reduce time-to-bind

Improve the comprehensiveness and traceability of reports

Focus underwriters on analysis, client discussions and pricing

We build AI Agents for insurers that support commercial underwriters with search and analysis.

Sounds like this would benefit you?

Book a free consultation

IS YOUR Team Spending too much time searching for information?

You have a team of experts…

Good underwriting requires deep expertise of specific market sectors, regulation and individual companies. It requires an understanding, born of experience, in what constitutes a liability and what good management of risk looks like.

These experts spend a lot of time looking for information…

Much of the time in underwriting teams is spent looking for relevant information, so that underwriters can assess the likely sources of risk and determine the best course of action.

According to our clients, up to 50% of their time is spent simply trawling for information and scanning lengthy financial reports.

This time is preventing you from writing more business…

The time it takes to find information is a fundamental blocker to the rate at which policies can be written, since both the triage and the deep analysis require diligent research.

Use an AI Agent to Automate this research

We build Deep Research Agents for commercial underwriters.

The agents follow a structured process for searching, triaging, filtering and analysing web data, hunting for indicators of specific risks that may affect coverage

Our Agentic AI design cuts the time it takes an underwriter to gather filter and assess data from hours down to minutes.

The result: underwriters have more time to focus on the analysis and impact of risks on the policy.

Case Study

How an International Insurance Firm fast-tracked their deep research agent, slashed underwriting research time and improved risk management.

See how we helped a global re-insurer slash the time it takes their underwriters to research companies:

Read the full case study

Less time, more detail

Compared to manual research, deep research agents are both quicker and more comprehensive.

By designing the agent to replicate each product team’s research process, the institutional knowledge and the expertise of each team is faithfully reflected in the research agent’s operation.

The agents can be configured to pre-emptively research incoming submissions, providing results into a bespoke application designed to help the underwriters quickly populate their work ups.

Veratai are a fabulous partner for us. Not only are they highly skilled and proficient at what they do, the thing that really sets them apart is their customer-centric approach. The care, thought and empathy they put in to solution design and build means they always deliver efficiently, accurately and with great value and utility.

— Risk & Analytics Director,
International Insurance Firm

Free your underwriters from trawling for information

  • Deep research agents for commercial underwriters remove the low value work of searching and sifting from your underwriters.

  • Instead, they can focus on deep analysis, mitigation discussions, coverage adjustments and pricing impacts.

  • It removes the burden of copying and pasting or archiving relevant documents by producing reports with detailed citations to source evidence.

What teams can do with the time saved is up to them:

Spend longer on the analysis and engagement phases with insureds:

Increase quality, reduce risk and improve client satisfaction.

Increase the velocity at which submissions can be decisioned:

Increase the book of business that can be written and reduce the time-to-bind.

What Next?

If you think you could benefit from a research agent, or aren’t sure but want to know more, we offer a free 30-minute consultation (not a sales call).

We bring our expertise to help you understand if your team could benefit from a research agent, and give you actionable next steps so you can get started.

Book a free 30-min call