As a property and casualty carrier grows, repeated data entry and delayed handoffs can add work to each new account. Underwriters re-enter account details, billing teams correct premium errors, and claims adjusters wait for documents. A platform evaluation should test whether those workflows can support more business without a matching increase in manual work. Give every vendor the same tasks and require evidence your team can inspect.

Start with the growth you need to support

A core system typically handles policy administration, billing, and claims while connecting to the other systems a carrier relies on. Use that scope to decide what your evaluation covers and which existing systems must stay connected.

Core modernization is often framed around revenue ambitions. For buyers, the more useful step is to specify what the platform must support and what evidence would justify the investment.

Name your growth constraint in one sentence. Perhaps you want to launch another commercial line without a long configuration project. Perhaps you need to handle more submissions without staffing rising at the same rate. Writing the constraint down gives underwriting, finance, and IT a shared basis for comparing options.

Write the outcome first. Choose measures the business side owns: quote turnaround time, repeated data entry, exceptions requiring manual review, and the effort behind a typical product change. Record current performance before testing vendors so your team has a baseline for judging results.

Keep the measures tied to the constraint. If product launches are the problem, inspect who can change rating rules, forms, and eligibility requirements. If submission volume is the problem, focus on processing capacity, manual review, and failed handoffs.

Make every vendor prove the same workflow

Give every finalist the same scripted workflow and sample data. Ask them to demonstrate each step, including changes and failed handoffs, then score what they show.

For example, use a broker's small commercial property submission. The underwriter reviews it, requests another document, binds the policy, and sets up quarterly billing. Then add a second building mid-term and check whether the premium, documents, and billing schedule all update.

Follow the record. Ask each vendor to walk the submission from intake to invoice. Identify what moves automatically, what someone must re-enter, and who fixes a failed handoff between policy and billing.

If a vendor says its AI triages submissions against eligibility, appetite, and rating criteria and produces a first-draft quote, ask to see that sequence on your sample submission. If it claims guidance based on real-time portfolio data, ask how current limits and rules would affect the sample decision.

Inspect the audit trail as well. Socotra's security page describes an event record containing the date, user, operation, and relevant object identifier. Ask each finalist to expose comparable records so your team can trace who did what.

Federato's vendor-authored comparison of insurance core systems offers a framework for questions about shared data and connected modules. Verify how the proposed configuration handles a change. Whether the platform uses a single data model or connected modules, the mid-term change needs to reach premium calculations, documents, and billing without re-entry.

Change something live. Ask the vendor to show how a business user changes a sample rating rule, including any technical help required. Check who can approve the change and where the system records it. Where a vendor says rating, forms, and eligibility live in one product definition, ask to see how a change carries through to the affected documents and billing, and require the same demonstration from every finalist.

Test growth under peak conditions. Ask whether the system can handle increases in policy volume. Cloud deployment alone doesn't establish that capacity. Request evidence at your forecast peak, such as renewal season or a storm week in claims, plus a documented recovery test. If claims is in scope, test claim assignment during a surge as well.

Check AI actions and controls. Separate summarizing a file, drafting a quote, and taking an approved action. For each task, ask where the information came from, where a human reviews it, what permissions limit it, and what gets logged.

Guidewire, Duck Creek, and BriteCore announced agent capabilities in 2026. Ask which functions are available in your proposed deployment and which remain on the roadmap. Capgemini's World Property and Casualty Insurance Report 2026 reports that 42% of insurers had not measured AI outcomes. Use your agreed business measures to assess AI-assisted work rather than assuming it will produce a return.

The weights below are suggestions, not an industry benchmark. Agree on them before the first demo and score demonstrated evidence from 1 to 5.

Set pass-or-fail requirements for security, essential functions, and data export before scoring. An option that fails a requirement shouldn't advance because of a high weighted score.

Compare the full cost of getting live

Compare proposals on the full cost of implementation and ongoing operation. Keep the scope and assumptions consistent so a lower software price doesn't hide work or charges listed elsewhere.

Request the same commercial assumptions. Ask each finalist to price an identical scope: subscription, implementation, data conversion, integrations, training, testing, support, upgrades, and usage-related charges. Ongoing costs should cover maintenance, support, and upgrades, not only the first-year subscription. If the rollout includes claims, include claims management workflows in the same scope.

If a vendor offers a demo but no published subscription price, request a scoped proposal so you can compare it on the same basis as other finalists. Use one planning period for all proposals. For the five-year comparison illustrated below, apply the same growth and usage assumptions to each vendor.

Make the rollout inspectable. Existing insurance systems are business-critical, so ask how current work will continue during the change. As with any legacy software modernization effort, a phased approach can limit disruption to day-to-day operations. Require named responsibilities on both sides, a conversion test using a representative policy sample, reconciliation against your current book, staged sign-off, rollback arrangements, and a named support escalation path.

Plan the exit before signing. Write exit and handover terms down upfront. Ask which export formats you receive, whether you retain access to policy history and documents, what assistance costs, and how handover works. Confirm that the export includes the event history your team needs to trace past actions.

Record unresolved delivery, cost, and export questions alongside the scorecard. Ask finalists to address them in the proposal and contract before your team approves the purchase.

FAQs

How do we compare vendors fairly?

Give every finalist the same workflow, sample data, and commercial assumptions. Agree on priorities before demos begin, then record the evidence behind each score.

Should we replace everything at once?

Choose a sequence based on system dependencies and whether current work can continue during the change. Budget alone doesn't guarantee a usable modernization outcome. Test your conversion, reconciliation, and rollback plan before committing to a rollout approach.

How much will a new platform cost?

The sources discussed here don't establish a general price. Request scoped proposals and compare implementation, ongoing charges, and exit assistance over the same planning period.

What should an AI demo show?

Ask to see the task performed on your sample data, the information used, the human approval step, the permissions that constrain the action, and the log entries it creates.