An insurer is only as fast as its systems. Pricing a new product, binding a policy, paying a claim and reporting to a carrier all run through insurance software, and the choice of that software decides how quickly the business can change.
This guide covers the main types of insurance software, what MGAs and specialty insurers need from them, where AI helps in 2026, and how to choose.
What is insurance software?
Insurance software is the set of applications an insurance business runs to sell, price, issue and service policies, collect premium, settle claims and report on the results. Some of it is visible to customers, such as a quote form or a claims app. Most of it works behind the scenes, holding the policy record that every other system reads.
Who uses it? Carriers, of course, but also the businesses around them: brokers and agencies that sell policies, managing general agents (MGAs) that underwrite on a carrier's behalf, third-party administrators that handle claims, and reinsurers that take on part of the risk. Each of them needs a different mix of systems, which is why "insurance software" covers so much ground.
It is also a large and growing budget. Gartner forecasts that the global insurance industry's IT spending will rise 9.4% in 2026 to $256.8 billion, and software spending forecast to grow 13.4% a year through 2029 (Gartner, October 2025). Premiums are growing much more slowly: the Swiss Re Institute expects just 1.3% real growth in 2026 (Swiss Re Institute). When the market grows slowly, the insurers that change products and settle claims faster win the business, and that speed comes from software.
Types of insurance software, stage by stage
The easiest way to understand insurance software is to follow a policy through its life. Each stage has its own type of system, although many products cover several stages at once.
Policy administration systems
The policy administration system (PAS) is the system of record for every policy: the product definition, the quote, the bound policy, endorsements, renewals and cancellations. Every other system reads the policy version the PAS issued, so it is usually the hardest system to replace and the one that decides how fast a new product can launch. Our guide to policy administration systems covers the must-have features in 2026.
Rating engines
A rating engine calculates the premium from the risk details: rating tables, factors, discounts and the formulas that combine them. Some insurers run it inside the PAS; others keep a separate engine so pricing teams can change rates without touching the policy system. Speed matters more than you might expect in commercial lines. Insurity says its new rating engine rated a commercial auto policy with more than 30,000 vehicles 100 times faster than traditional core systems in its own benchmark.
Underwriting workbenches
An underwriting workbench is the underwriter's desk: submissions arrive, risk data is pulled in, rules decide what can be accepted automatically and what needs a person, and referrals go to the right level of authority. It matters most in commercial and specialty lines, where many risks are priced one by one.
Billing systems
Insurance billing is more involved than sending an invoice. A billing system handles payment plans, installments, direct and agency billing, commissions, refunds after a mid-term change and collections when a payment fails. Errors here go straight to the customer, so billing is often the first place a weak integration shows.
Claims management systems
Claims software runs a claim from first notice of loss to settlement: intake, coverage checks, reserves, payments, recoveries and the correspondence around them. Customers judge an insurer by this part of the business, and they increasingly use digital channels for it: in J.D. Power's 2026 property claims study, 49% of claimants used digital tools to send photos (J.D. Power). Our claims management software guide maps the features to each stage of a claim.
Distribution software: agency management systems, CRM and portals
Brokers and agencies run on an agency management system (AMS), which holds clients, policies, renewals, commissions and documents. Around it sit CRMs for sales, comparative raters that quote several carriers at once, and portals where agents and policyholders serve themselves. Our guides to software for insurance brokers and broker management systems compare the main products.
Data, reporting and analytics
Loss ratios, written premium by product, claim cycle times, reserves: every part of the business wants numbers, and most insurers still get them from a data warehouse fed by nightly exports. The trend in 2026 is reporting that sits on the live policy and claims data, with AI that answers questions in plain English (more on that below).
Bordereaux and delegated authority tools
When an MGA or coverholder writes business for a carrier, it must report every policy, premium and claim back in a bordereau, a structured report in the format each carrier requires. Bordereaux management tools produce and check these reports. For delegated authority business, they are as important as the PAS itself, because a carrier that cannot read the data will not renew the capacity.
Core systems and suites
A core insurance system combines policy administration, billing and claims, often with rating and underwriting, on one shared data model. Guidewire, Duck Creek, Sapiens, Majesco and Insurity sell the best-known suites. Our guide to insurance core systems compares them.
| Type of insurance software | What it handles | Main users |
|---|---|---|
| Policy administration system | Products, quotes, policies, endorsements, renewals | Carriers, MGAs |
| Rating engine | Premium calculation from rates, factors and formulas | Carriers, MGAs, pricing teams |
| Underwriting workbench | Submissions, risk data, referrals and authority | Commercial and specialty underwriters |
| Billing system | Installments, commissions, refunds, collections | Carriers, MGAs |
| Claims management system | First notice of loss to settlement and recovery | Carriers, MGAs with claims authority, TPAs |
| Agency management system and CRM | Clients, renewals, commissions, sales pipeline | Brokers and agencies |
| Portals | Self-service quotes, documents and claims | Agents, brokers, policyholders |
| Bordereaux tools | Reporting premium, risk and claims to carriers | MGAs, coverholders, carriers |
| Data and reporting | Loss ratios, KPIs, regulatory reports | Everyone |
Insurance software for MGAs, brokers and TPAs
Carriers are not the only buyers of insurance software, and in 2026 they are not the fastest-growing ones. The businesses around them have different needs, and the MGA is the clearest example.
MGAs: the fastest-growing part of the market
An MGA underwrites, prices and binds policies on behalf of one or more carriers, under delegated authority. It brings specialist underwriting; the carrier brings the capital. Conning estimates US MGA premium at about $128 billion in 2025, and the statutory figure grew 12% in a year, more than double the roughly 5% growth of the property and casualty market as a whole (Conning, July 2026).
Fronting carriers, which lend their license and balance sheet to MGAs and pass most of the risk to reinsurers, wrote an estimated $22.6 billion of that premium, about 20% of the US total. In London the model is just as central: delegated underwriting accounts for about 45% of Lloyd's premium income (Lloyd's).
So what does an MGA need from its software? It sits between two sets of demanding partners, and its systems have to satisfy both.
In practice, that means:
- Products for several carriers on one platform, each with its own rates, rules, wording and documents.
- Authority limits written into the system, so a policy outside the MGA's binding authority is referred instead of bound.
- Bordereaux in each carrier's format, produced from the live data rather than assembled in a spreadsheet at month end.
- Fast product launches: a new program usually comes with a start date the carrier has already agreed.
- A broker portal, because brokers bring the business and will go elsewhere if quoting is slow.
Many MGAs start on spreadsheets and email, then outgrow them as soon as a second carrier or a second product arrives. A configurable policy administration platform with delegated authority built in is usually a better fit than a carrier-grade suite, which assumes one insurer with one set of books.
Brokers and agencies
Brokers place risk rather than carry it, so their systems revolve around the client: an AMS for policies and commissions, a CRM for new business, raters for quoting and a portal for clients. The question to settle first is whether the brokerage also writes business under delegated authority. If it does, it needs MGA-style software for that part of the book.
Third-party administrators
TPAs handle claims for insurers and self-insured companies. Their claims system has to run several clients' rules, authority limits and reporting formats side by side, which is the claims equivalent of an MGA's multi-carrier problem.
Insurtechs and new carriers
A start-up insurer or a new digital brand needs a full stack from the first day, and a launch date that investors are watching. CB Insights counted $2.4 billion of insurtech funding in the second quarter of 2026 across 107 deals (CB Insights), and Gallagher Re reports that 99.1% of the quarter's funding went to AI-focused companies (Gallagher Re).
Specialty insurance software: why standard systems struggle
Specialty insurance covers risks that standard products do not fit: cyber, aviation, marine, event cancellation, fine art, pet, travel, and much of the program business written by MGAs. In the US, a large part of it is written in the excess and surplus (E&S) lines market, where insurers have more freedom over rates and wording.
That market has grown quickly. AM Best reports that US surplus lines premium grew 10.4% in 2025, and that E&S now makes up 12.9% of all property and casualty premium, against 3.6% in 2000 (AM Best, via WSIA).
Growth continues in 2026, though at a slower pace. Surplus lines premium reported to the stamping offices of 15 US states reached $47.6 billion in the first half of 2026, up 2.8%, while item counts, the number of policies and other transactions filed, rose 16.9% (WSIA). More transactions for each dollar of premium is a software problem. Lloyd's, the largest specialty market, wrote £57.9 billion of gross premium in 2025 (Lloyd's).
What specialty products need from insurance software
Why do generic systems fit specialty business so badly? Because they were designed for high volumes of similar policies, such as motor or home cover. Specialty is the opposite:
- Every line has its own data. An aviation policy needs aircraft, pilots and routes; a cyber policy needs revenue, controls and past incidents. The product model has to describe any of them without a new database project.
- Underwriting is often manual, with referrals and subjectivities, so the workbench matters more than straight-through processing.
- Volumes are small, so a product has to be cheap to launch and to change, or it never pays back.
- Much of it is written under delegated authority, which brings bordereaux and carrier reporting with it.
This is why so much specialty business still runs on spreadsheets. A configurable platform changes the economics: Core Travel Insurance went from contract to a live policy platform in eight weeks on Openkoda, and SkyGuard, a life and aviation specialty insurer, runs its policy administration on the same platform (case study).
AI in insurance software: what works in 2026
AI is now part of almost every insurance software roadmap, and adoption surveys look impressive. Look closer, though, and most of that use is still shallow.
Europe looks similar. In EIOPA's survey of 347 insurers in 25 countries, nearly two-thirds already use generative AI, mostly for back-office productivity rather than for customers (EIOPA, February 2026). Among the 30 large insurers in the Evident AI Index, 49% of disclosed use cases are still narrow, aimed at speed and cost (Evident). The gap between trying AI and running the business with it is mostly a systems gap: an AI model can only act on the data and the rules the insurance software exposes to it.
AI moves into the core platforms
The large vendors spent 2026 building AI into the systems themselves:
- Guidewire's Qusar release added an Agentic Framework for building and controlling AI agents on its cloud platform, with ready-made agents for claim summaries, policy changes and first notice of loss.
- Duck Creek launched an agentic AI platform for underwriting and claims, including a first notice of loss agent built with Google Cloud.
- Sapiens announced SapiensAIP, which runs agentic workflows across underwriting, policy, billing and claims.
- For brokers, Applied Systems built Epic Conductor into its AMS; it extracts data from carrier documents and, by Applied's account, cuts data entry by more than 50%.
Reporting AI: questions about the book in plain English
Reporting is where AI pays back quickest, because the risk is low and the time saved is easy to see. Instead of filing a request with the data team, a claims manager asks "loss ratio by product, this quarter" and gets a report.
In Openkoda, the policy administration system built by our sister company, Reporting AI shows the query it ran next to the result, so anyone can check how a number was produced, and each answer can be pinned to a role's dashboard. Every query is limited to the insurer's own data at the data layer. Because policy, claims and billing share one platform, a single question can cover the whole lifecycle.
AI product builders: product changes without a release
Changing an insurance product used to mean a specification, a development sprint and a release. An AI product builder lets a product manager describe the change instead, for example "add windscreen cover to Motor and re-rate it". In Openkoda's AI Product Builder, the AI turns that into a typed change-set (a coverage, its limits, a rating factor, an underwriting rule), the user reviews a before-and-after view, and nothing is applied until someone approves it. If the product already has policies in force, the platform creates a new product version, so existing customers keep the terms they bought.
Duck Creek is working in the same direction with its Agentic Product Configurator. For MGAs and specialty insurers, which change products often and on small volumes, this matters more than any other AI feature.
Documents, underwriting and claims
The other proven uses are practical ones. AI reads submissions, emails and PDFs and pre-fills the record for a person to confirm. It briefs underwriters on referred cases with risk signals and pricing context. And it handles simple claims end to end in narrow, well-defined cases: Allianz's Project Nemo uses seven AI agents for food spoilage claims after natural catastrophes, with a person approving the payment. Our post on digitalization in insurance covers that example in detail.
Guardrails and regulation
An AI that can change a rating table or a policy record can do real damage, so the controls matter as much as the features. Look for typed changes from a fixed catalogue of operations, human approval before anything is applied, and an audit trail of who approved what.
Regulators expect the same. The EU's AI Act treats AI used for risk assessment and pricing in life and health insurance as high-risk, with obligations applying from December 2027. In the US, the NAIC says over half of all states have adopted its model bulletin on insurers' use of AI or similar guidance. Insurers are preparing: 49% of the European insurers in EIOPA's survey have a dedicated AI policy, up from a quarter in 2023.
Build, buy or configure: three ways to get insurance software
Once you know which systems you need, there are three ways to get them. Most insurers end up combining at least two.
| Buy a packaged suite | Configure a platform | Build custom software | |
|---|---|---|---|
| Best for | Large carriers with standard lines | MGAs, specialty insurers, new brands, carriers replacing a legacy core in stages | Processes that set the business apart, and integrations nobody sells |
| Time to first product | Often a year or more | Weeks to a few months | Months, longer for a full PAS |
| Who changes a product | The vendor's tools, or a specialist team | Business users, through configuration and AI | Your developers |
| Main risk | Long implementation, changes on the vendor's schedule | Choosing a platform that cannot be extended | Rediscovering insurance logic a platform already has |
A packaged suite brings years of insurance logic and a large partner network. A custom build fits exactly but has to learn what a policy, an endorsement and a version are, which is why we recommend it for the parts of the business that are genuinely different rather than for the whole core. Our guide on how to build insurance policy management software covers the custom route. A configurable platform sits between the two: the insurance logic comes ready, and the business changes products itself.
How to choose insurance software: questions to ask every vendor
Feature lists from insurance software vendors look alike. These questions show the differences.
1. Who can change a product, and how long does it take?
Ask the vendor to add a coverage and change a rate during the demo. If the answer is a change request and a release, every new product and every regulatory change will wait for it.
2. What happens to policies already in force?
A product change must not rewrite the terms of existing policies. Ask how product versions work and how a mid-term endorsement is rated.
3. Does it handle delegated authority?
If you are an MGA, or work with one, ask to see authority limits, referrals and a bordereau produced in a carrier's format.
4. How is AI controlled?
Ask what the AI may change, who approves it and where the audit trail is. A good answer names the operations; a weak one talks about the model.
5. Can you leave with your data?
Products, configuration and policy history should export in a documented format. Insurance systems run for decades, and the exit route is part of the price.
6. Who will implement it?
Most insurance software needs a partner for configuration, integrations and data migration. Our list of the best insurance software development companies compares ten of them.
Stratoflow is the implementation partner for Openkoda, a policy administration system configured with AI and built by our sister company, and we build and modernize business-critical Java systems for insurers and MGAs. If you are launching a product, setting up an MGA or replacing a legacy core, book a thirty-minute call with an architect. You will get a written view of scope and price model, and a straight answer if a different kind of software would suit you better.