Insurance is more than a financial services business. It is a data business. Carriers may sell policies and administer claims, but what they truly run on is data–enormous volumes of it.

Insurance finance teams are under growing pressure to reconcile higher transaction volumes, manage fragmented data, and close faster without adding risk. For carriers, reinsurers, and other insurance organizations, the challenge is no longer simply modernizing finance operations. It is building the data foundation, automation, and visibility needed to support a more intelligent financial close.

Industry research supports this. Forrester’s US Tech Forecast for 2026 indicates that 52% of insurance leaders cite improving operational resilience is their organization’s top business priority. PwC’s 2025 Insurance Finance Transformation Survey also found that fewer than 30% of key financial controls are automated, with insurers identifying these top areas for improvement:

• Operational processes (61%)
• Technology infrastructure (46%)
• Data management (43%)

For insurance organizations operating across multiple legal entities, geographies, systems, and regulatory environments, this creates a significant reconciliation challenge. Payments, claims, policy, bank, and general ledger data often arrive in different formats, at different times, and from different systems. The issue is not simply whether the data exists. It is whether finance teams can trust it, connect it, and act on it quickly.

This is where high-volume reconciliation and the AI Financial Close come together, helping insurers address four clear priorities for a more automated, intelligent, and predictive approach to managing reconciliations, controls, and close activities.

1. Standardization across reconciliations data

Carriers, reinsurers, policy administration systems, and banks all use different data formats, naming conventions, and timing cycles. Every source requires custom mapping and manual intervention before the transactions can be reconciled against the general ledger and reported as income or liability.

Without standardization, reconciliation becomes a recurring data-wrangling exercise rather than true accounting work. With it, finance teams gain a consistent foundation for automation, reporting, control, and close management.

Insurance finance teams do not need more noise. They need clearer signals, faster access to information and a consistent way to manage work across the organization.

“We knew we needed a centralized repository for our reconciliations, not only to improve visibility for management, but also to provide standardization in our methodologies.”

— Lead Accountant, Liberty Mutual Read Case Study

2. Automation that can handle the realities of insurance complexity

Insurance finance teams are not dealing with simple one-to-one matches. Three-source reconciliations are very common and almost all accounts have high volumes, requiring complex matching scenarios across multiple systems.

Claims disbursements are a good example. Finance teams may need to verify: that the claims system, GL subledger and bank clearing account all align.

• The claims system shows $12.4M in payments issued
• The GL shows $12.35M posted to the claims clearing account
• The bank shows $12.31M settled

The analyst then must determine which claims were issued but not posted, which items posted but have not cleared, which bank items are returns or timing differences, and whether any transactions are duplicated, missing, or misclassified.

   “Before we started using Trintech, we were utilizing a bank rec module on our old ERP solution, and it was only able to make one-to-one matches. We had a 20% to 30% auto-match rate, and it was mostly just check numbers. When we moved to Trintech, our goal was 75%, and we got to over 96%.” — Pan-American Life Insurance Group

3. Visibility into workloads and management of operational risk

For CFOs and operations leaders, risk often sits in the work that is not visible: aging unreconciled items, unresolved exceptions, delayed approvals, and bottlenecks that only surface at period end.

Trintech replaces a fragmented, invisible landscape with a single controlled environment across the entire record-to-report process.

“A central dashboard showing us 15 accounting professionals are working on a checklist of 100 items allows us to clearly see whether a task is a dependency for something else or if there are any blockers, so the visibility was a huge win.”

– Senior Director of Finance Operations, Select Quote
Read Case Study

4. Scalability without adding headcount

Growth is  good news. But for insurance firms, every new product line, every market expansion, and every acquisition also means more systems, more spreadsheets, and more people trying to hold everything together through email.

A leading North American insurance firm states, “Automation has enabled us to reduce our headcount across the team, through various ways we’ve been leveraging functionalities within our [Trintech] solutions. As we’ve grown and acquired new companies, we’ve been able to absorb work without adding headcount.”

– Associate Vice President of Accounting and Finance Solutions, Leading Insurance Provider (Read Case Study)

Trintech scales with the business and teams can adapt as the organization grows.

The takeaway for insurance

For insurance firms, high-volume reconciliation is no longer just a back-office requirement. It is a strategic data challenge. Every reconciliation depends on the ability to standardize, validate, and connect massive volumes of financial and operational data across systems, entities, and processes.

That is why data has become the backbone of the modern financial close. Without visibility into the quality, movement, and status of data, insurers face greater operational risk, unresolved exceptions, and inefficiencies that slow the close process and weaken confidence in reporting.

Trintech helps insurers build a stronger foundation for reconciliation and close through intelligent automation and centralized visibility. By accommodating the scale and complexity of insurance operations while surfacing risks and inefficiencies earlier, Trintech enables finance teams to improve control, accelerate exception resolution, and support a more connected and resilient AI Financial Close.