Decerto guide frames underwriting software as core P&C workflow system

Research cited by Earnix found that 74% of insurance companies still use outdated legacy technology for pricing, rating, underwriting, and other vital functions. Underwriting software now sits at the center of how P&C carriers take in submissions, enrich risk data, route exceptions, and produce decisions. Decerto’s guide, last updated July 22, 2026, treats that layer as an operating system for underwriting rather than a narrow rating tool, and that is the right lens for executives who care about cycle time, appetite control, and bind rate.

Underwriting is the carrier workflow layer

The shift away from point tools is visible in how modern underwriting work is described. In an article published March 3, 2025 and updated May 13, 2026, Decerto described carriers using workflow and automation to cut decision time from days to minutes. That is a meaningful distinction for P&C buyers, because the constraint is rarely the math engine alone. The friction usually comes from fragmented submission data, rekeying, unclear handoffs, and too many exceptions moving between people and systems.

That is why underwriting software now has to connect submission intake, document handling, data enrichment, underwriting workbenches, referral workflows, collaboration tools, and integration with core policy systems. In practice, the underwriting experience shapes how quickly a carrier can quote business, how consistently it applies judgment, and how much manual effort is required to bind a policy. A system that only formats a submission or presents a digital form is not doing that job.

What the 2026 platform must do

A credible 2026 underwriting platform needs more than static rules. It has to support decision automation, third-party data ingestion, rules management, straight-through processing, and clean integration with policy administration and rating. It also has to expose usable interfaces so carriers can embed analytical and AI-assisted decision support without losing governance or control over underwriting appetite.

In 2026, underwriting workbenches increasingly bring submissions, data, pricing, approvals, and workflow into one place. They are working environments, not just quote screens. It is the difference between a front-end form and a platform that lets underwriters move from intake to decision with less manual coordination.

The practical test is simple. If a platform cannot ingest structured and unstructured submission data, apply rules, route exceptions, and pass a decision cleanly into the policy system, it is not yet functioning as a core underwriting layer. If it can do those things, it begins to affect throughput, consistency, and auditability in the way underwriting leaders actually feel.

Why the market pressure is rising

Capgemini’s 2026 World Property and Casualty Insurance Report, The intelligence era in P&C: From AI promise to AI advantage, shows insurance leaders being pushed to convert AI activity into measurable operating gains. Capgemini’s 2024 report, Become an underwriting trailblazer, argued that underwriting transformation delivers powerful business results. The 2026 report warns that commoditization risks are heightened by data silos, legacy systems, and limited agent capabilities that hinder intelligent decision making.

Those pressures show up directly in underwriting. Faster underwriting improves broker relationships and can lift hit ratios. Better controls reduce leakage and help insurers avoid writing business that falls outside appetite. Stronger workflow design reduces cycle times while improving transparency for underwriters, managers, and distribution partners.

Underwriting modernization is core to the carrier’s ability to compete. The story is not about digitizing a form. It is about orchestrating how the organization evaluates submissions, applies judgment, and decides when automation can take a case straight through and when it needs a human review.

How buyers should read the vendor map

The vendor landscape now breaks into functional segments that matter to carriers of different sizes and operating models. Core suite vendors such as Guidewire tend to anchor policy-administration-heavy programs, especially where underwriting must sit tightly beside the system of record. Decisioning specialists like Earnix and hyperexponential are often evaluated where pricing, rating, and underwriting rules need to stay synchronized. Automation and intake names such as Pibit.AI, V7 Labs, and Convr are more visible where carriers want to improve submission capture, triage, and AI-assisted classification.

There is also a strong services and transformation layer. On February 5, 2025, in a post updated July 29, 2026, Intellias identified legacy system transformation as a major challenge. Damco Group sits in the same broader integration conversation, where the issue is not just selecting software but getting it to work across policy, data, and workflow boundaries. That segment matters because underwriting modernization often fails at the handoff points, not at the user interface.

Pibit.AI published a field guide on submission intake automation in commercial P&C. V7 Labs published Best AI Tools for Commercial Lines Underwriting in 2026 on June 11, 2026. Perceptive Analytics published Why Mid-Market P&C Carriers Cannot Scale Underwriting Operations Without Structured Submission Data on June 6, 2026. Those titles point to the same structural issue: AI and automation only perform when the submission data is structured enough for machines and underwriters to act on it.

A practical evaluation lens

Legacy technology helps explain why many modernization programs stall. Carriers may buy a workflow layer or a decisioning tool, but if the surrounding policy and rating stack remains old, the underwriting platform ends up compensating for missing structure.

When evaluating software, the buyer’s checklist should stay close to the operating realities of the underwriting desk:

• Can the platform ingest structured and unstructured submission data without heavy rekeying?

• Does it support explicit rules management, exception routing, and manager approval flows?

• Can it connect directly to third-party data sources and internal policy and rating systems?

• Does it support straight-through processing for low-complexity cases while preserving human control for complex ones?

• Can it provide auditability, transparency, and usable interfaces for underwriters, managers, and distribution partners?