How AI Is Minimizing Revenue Leakage and Boosting Cash Flow for Insurers
Eventual Treasury uses AI to automate insurance revenue reconciliation, reducing processing from weeks to seconds. This speeds up payments, improving cash flow for producers and brokers.

Eventual Treasury Uses AI to Cut Revenue Leakage and Improve Insurer Cash Flow
Eventual Treasury, a revenue AI company, is reshaping how insurance firms handle financial reconciliation. According to CEO and co-founder Mohit Chawla, inefficiencies in money movement across the insurance value chain—from producers to reinsurers—are eating into profit margins and cash flow.
Chawla explained that Eventual Treasury has developed AI technology that automates the reconciliation of revenue streams coming from various channels and payment methods. This innovation enables accounting and finance teams to complete reconciliations in seconds instead of weeks.
Current Challenges in Insurance Revenue Reconciliation
Revenue reconciliation in insurance often requires manual processing of documents from physical mail, emails, and carrier websites. Accountants must also manage a variety of payment forms, including checks and cash. This manual approach is slow, costly, and prone to errors.
Chawla highlighted three common but limited options insurers currently have:
- Using outdated software
- Employing robotic process automation (RPAs)
- Outsourcing to offshore labor, which introduces management challenges and increased expenses due to geopolitical factors
Eventual Treasury’s AI solution significantly reduces processing time, cutting reconciliation from weeks to mere seconds.
Improved Cash Flow for Producers and Brokers
One key benefit of this AI-driven automation is faster payments. Producers who typically wait up to 45 days for paychecks can now receive payments in seven days or less. This improvement enhances cash flow and financial stability for brokers and producers.
Growing Adoption Across the Insurance Industry
Backed by venture capital, Eventual Treasury operates with a team of about 20 people. Its customer base ranges widely—from small “Mom-and-Pop” brokers to some of the top 20 and top 100 brokers, broker networks, wholesalers, and specialty carriers.
This broad adoption signals strong market demand for solutions that reduce revenue leakage and streamline financial operations in insurance.
For insurance professionals interested in AI’s role in finance and automation, exploring targeted AI training and courses can be valuable. Resources like Complete AI Training’s automation courses offer practical knowledge to harness AI tools effectively.