Insurance firms are entering 2026 with growing operational pressure as settlement cycles lengthen, data becomes more fragmented and artificial intelligence adoption lags ambition, according to new research from AutoRek.
The “Insurance Operations & Financial Transformation 2026” report, based on 250 online interviews with insurance managers in the UK and US, paints a picture of an industry where transaction volumes are rising faster than insurers’ ability to modernise their financial operations. The survey sample skewed towards smaller organisations, with 80% of respondents from firms with fewer than 5,000 employees, and covered both insurance and health insurance carriers.
The findings suggest the greatest immediate concern for insurance professionals is what the report labels “The Settlement Squeeze” – the combination of higher transaction volumes, longer premium settlement cycles and heavy reliance on manual processes in finance and operations teams.
According to the report, nearly half of insurers now face premium settlement periods exceeding 60 days, up from 56 days in 2025. For firms processing more than 10 million transactions a year, the average settlement period rises to 59 days, compared with 52 days for smaller peers.
At the same time, transaction volumes are projected to rise by almost 29% over the next two years. That means already-long settlement cycles are likely to lengthen further unless firms compress timelines or automate more of their reconciliation activity.
The research highlighted the cost of this drag. Fourteen per cent (14%) of operational budgets are being spent fixing manual process errors, diverting capital and management attention away from growth initiatives. Respondents also cited increased operational costs, compliance pressure and audit risk as direct consequences of reconciliation complexity.
For carriers, longer settlement cycles delay revenue recognition and lock up capital. For brokers and delegated authorities, they can strain insurer relationships and reduce appetite for growth if payables and receivables remain out of sync for extended periods.
The report also suggested that much of the settlement strain is rooted in legacy ways of working. Many firms still rely on multiple systems and manual spreadsheets to manage cash, bordereaux and premium flows.
The survey pointed to several recurring drivers of longer settlement times -- high transaction volumes, use of multiple systems and fragmented data, dependence on spreadsheets, and additional complexity from cancellations, adjustments and partial payments. These factors make it difficult for finance teams to achieve timely, accurate reconciliations.
AutoRek’s analysis argued that, as volumes accelerate, manual reconciliation becomes “mathematically unsustainable”. Insurers failing to compress settlement timelines risk margin erosion and reputational strain as well as competitive disadvantage against peers that unlock capital faster.
While the settlement squeeze is the most immediate operational issue flagged in the report, insurance professionals are also likely to focus on the gap between AI ambition and delivery.
The survey found that 82% of insurers believe AI will dominate the industry’s future, yet only 14% have fully integrated AI into their financial operations. At the other end of the spectrum, 6% still report no AI usage at all in finance and reconciliation workflows.
Rather than a slow, uniform curve of adoption, the data points to a widening divide. Early adopters that embed AI into reconciliation and finance are starting to reshape their cost base and controls, while more risk‑averse firms remain in pilot mode or continue to depend heavily on spreadsheets.
Respondents cited integration challenges with legacy systems, fragmented data environments and lack of in‑house AI expertise as the main obstacles to deployment.
Compounding both the settlement and AI issues is data fragmentation. On average, insurers manage 17 separate data sources feeding premium processes, while two-thirds handle more than 10 data sources.
More than half (54%) of respondents identified different systems and data architectures as the biggest integration roadblock following mergers and acquisitions. For finance teams, this fragmentation directly increases reconciliation complexity, audit exposure and the risk of misstatements.
The report argued that automation layered on top of a fragmented architecture cannot scale sustainably. Without data standardisation, each new system or distribution channel multiplies complexity.
The findings pointed towards what the report described as “The Operational Divide of 2026”. On one side are insurers that shorten settlement cycles, embed AI into financial operations and standardise fragmented data environments. On the other are firms that continue to rely on manual fixes, long settlement windows and siloed systems.
For insurance professionals – particularly COOs, CFOs and operations leaders – the key questions raised are how quickly their organisations can compress settlement timelines, rationalise data sources and move beyond AI experimentation into production use in reconciliation and finance.
With transaction volumes expected to grow and margins under pressure, the report suggests that the future competitive gap in insurance may be defined less by front‑office innovation than by the speed and accuracy of the back office.
