Custom Insurance Software Development: When Mid-Tier P&C Carriers Should Build vs Buy

Why custom insurance software development matters in 2026

A few months ago I was on a call with a Senior Architect at a $1.6B GWP P&C carrier. His CIO had told him to “scope a custom build” for their commercial auto rating engine because the vendor’s out-of-box logic could not handle their territorial rate factors. He pushed back. I listened. Halfway through the call, he asked the question that almost every architect I work with asks at some point: “When is custom actually the right answer, and when is it just a fancy way to fail in 18 months?” That question is the reason this refresh exists.

Custom insurance software development is the most contested decision in mid-tier P&C platform strategy. The temptation is real: vendors marketed as “configurable” hit limits faster than anyone admits in the sales cycle, mid-tier carriers have business logic that no off-the-shelf platform fully covers, and the appeal of “we will build exactly what we need” is hard to argue with on a slide. But the failure rate of greenfield custom builds for core insurance platforms is, in my experience, much higher than the industry talks about openly. In my last decade working with US P&C carriers between $500M and $5B GWP, I have watched roughly half of attempted custom core builds either fail outright, blow past budget by 2x, or quietly get descoped to “wrapper around a vendor product.”

That does not mean custom is wrong. It means custom is right in a narrow set of situations and wrong in a much wider set. The carriers winning in 2026 know the difference. This guide is the framework I wish more architects had been given before their first custom dev decision. It covers when custom makes sense (five scenarios), when custom is an anti-pattern (five scenarios), the 70/30 rule that should anchor most mid-tier conversations, the Build vs Buy vs Configure vs Partner decision matrix, and honest cost ranges that survive board scrutiny.

Decerto delivers custom insurance software development services as one of our core offerings. I am structurally biased toward custom development - that is part of how we make a living. The framework below tries to be honest about when custom is the wrong choice, including for prospects who came to us expecting a custom build. We have lost engagements by recommending configuration over custom code. We will keep doing that, because the alternative is shipping projects that fail in 18 months. The Build vs Buy vs Configure vs Partner framing applies to any vendor on your shortlist, not just Decerto.

Custom insurance software development - direct answer for 2026

Custom insurance software development is the design and engineering of insurance applications - policy administration, claims, billing, underwriting workbench, agent portal, rating engines, reinsurance modules - built from the ground up or as custom modules on top of a vendor platform, tailored to a specific carrier’s product structures, regulatory requirements, integration ecosystem, and business workflows. For mid-tier P&C carriers ($500M-$5B GWP), the practical decision is rarely “custom or off-the-shelf” - it is “what proportion of our platform should be custom-coded vs configured on a vendor product vs purchased off-the-shelf vs delivered through a partner.” The 70/30 rule applies: roughly 70% of the platform should be vendor product or out-of-box capability, 30% custom where genuine differentiation lives. Custom insurance software development costs at mid-tier scale typically range from $500K for a narrow module to $5M for substantial custom builds, with timelines of 6-18 months per major module. The carriers succeeding in 2026 are the ones that know which 30% deserves custom investment - and which 70% they should stop trying to differentiate on.

The 70/30 rule - what mid-tier P&C carriers actually need

The 70/30 rule is the single most useful frame I have for the build vs buy conversation at mid-tier P&C carriers. Roughly 70% of what your platform needs to do - policy lifecycle, billing transactions, basic claims workflow, regulatory reporting, ACORD-compliant data exchange, agent self-service - is solved problem. Multiple vendors do these things well, and the marginal value of building them custom is close to zero. The other 30% is where your carrier might actually differentiate: specific product structures, specialty workflows, unique distribution patterns, niche analytics, complex reinsurance programs.

What the 70% looks like

The 70% is dominated by capabilities every P&C carrier needs and every modern platform supports. ACORD AL3 data exchange. NAIC Schedule P loss reserve calculations. Standard endorsement workflows. Customer self-service quote-and-bind for personal lines. Standard billing cycles with auto-pay and installment options. State-DOI rate and form filing automation. Reinsurance cession tracking at the basic level. None of these require custom code at mid-tier scale. Carriers that try to differentiate on these capabilities typically end up with bespoke versions of standard functionality that nobody else has invested in maintaining for the last 15 years.

What the 30% looks like

The 30% is where mid-tier carriers actually compete. Examples I have seen from real engagements: a specialty commercial auto rating engine with territorial logic no off-the-shelf platform handles cleanly, a parametric coverage trigger evaluation system for catastrophe lines, an MGA program management workflow with cession reconciliation that ties back to specific producer agreements, an embedded insurance API surface integrated with retailer purchase flows, a custom underwriting decision-support layer that fuses third-party data sources unique to a specialty line. These are the candidates for custom insurance software development. The pattern is consistent: narrow scope, high differentiation value, business logic that no vendor product covers cleanly.

Why the rule matters

In my experience working with mid-tier carriers, the failure mode I see most often is custom development applied to the 70%. The carrier rebuilds something a vendor already does well, the project consumes resources that should have gone to the differentiating 30%, and 18 months later the carrier has a custom version of standard functionality with a maintenance burden that compounds annually. The 70/30 rule is a discipline check: before scoping any custom build, ask whether the capability is in the 70% (probably should not be custom) or the 30% (potentially should be custom). The carriers that hold this discipline ship better platforms with smaller budgets.

5 scenarios where custom insurance software development makes sense

Custom insurance software development is the right answer in a specific set of scenarios. Below are the five I have seen repeatedly justify the investment at mid-tier P&C carriers. Each one shares a common pattern: narrow scope, high differentiation value, and business logic that vendor products do not handle natively.

Scenario 1: Specialty product structures with no off-the-shelf match

Specialty lines - parametric coverage, complex commercial structures, surplus lines with non-standard product taxonomies, niche commercial auto programs with unique territorial logic - frequently exceed what off-the-shelf platforms support cleanly. When a vendor’s product configurator requires 80+ workarounds to encode your specialty product, custom is often the right answer. I have built custom product modules for specialty programs where the alternative was forcing the business into a standard product structure that did not match the underlying coverage. That tradeoff is almost never worth it.

Scenario 2: Differentiating distribution or workflow logic

Embedded insurance, complex producer/MGA program management, broker-side workflow automation, partner-channel integration with non-standard data exchange - all of these can justify custom development when they represent genuine competitive differentiation. The MediaMarkt embedded insurance engine Decerto built for high-volume retail policy issuance is an example of this pattern. The retailer’s purchase flow required policy issuance API surface that standard P&C platforms were not built around, and the business volume justified the custom investment. (Read the MediaMarkt embedded insurance case study for the project narrative.)

Scenario 3: Custom modules on top of vendor product (hybrid pattern)

The strongest case for custom is usually not “build the whole platform” but “build specific custom modules on top of a vendor product.” Examples: a custom underwriting decision-support layer that sits on top of a vendor’s underwriting workbench, a custom rating engine integrated with a vendor PAS through APIs, a custom reinsurance recoverable subledger that integrates with vendor claims data. This hybrid pattern - vendor handles the 70%, custom handles the differentiating 30% - is where most successful custom work happens at mid-tier scale.

Scenario 4: Regulatory or compliance use cases not covered out-of-box

State-specific compliance requirements that change frequently, niche regulatory frameworks for specialty lines, audit trail or fairness testing requirements that exceed vendor capabilities, NAIC AI Model Bulletin governance overlays specific to your carrier - all of these can drive custom development when the vendor roadmap does not align with your compliance timeline. Per the NAIC AI Model Bulletin, AI-driven insurance decisions require documented governance, audit trails, and fairness testing that some vendor implementations do not yet support natively.

Scenario 5: Integration glue when the off-the-shelf integration is genuinely insufficient

API integration with third-party data sources, custom credit bureau or fraud detection integration, embedded telematics data pipelines, custom partner-system integration where the vendor connector is missing or inadequate. Integration glue is the most common legitimate custom development scenario at mid-tier carriers - it is narrow scope, high value, and rarely covered by vendor product roadmaps in the timeframe carriers actually need.

Section 5: 5 scenarios where custom is an anti-pattern

This is the section I wish more architects pushed back on with their CIOs and CFOs. Each scenario below is a custom development decision I have watched fail repeatedly at mid-tier P&C carriers. The pattern is consistent: the perceived business case is shallow, the alternative was a vendor product that would have worked, and 18-24 months later the carrier owns custom code that does what vendor product already does - except now it is their problem to maintain.

Anti-pattern 1: Rebuilding a generic CRM, generic billing, or generic policy admin

If you find yourself scoping custom development for capabilities that ten different vendors do well - generic customer relationship management, standard billing with auto-pay and installments, basic policy administration for personal lines - that is the warning sign. The carriers I have seen attempt this end up with custom versions of standard functionality, a maintenance burden that compounds annually, and dependency on a small internal team that knows how the custom code works. Five years later they are usually trying to replace the custom system with a vendor product.

Anti-pattern 2: “We can build something better in 18 months for half the cost”

This is the most expensive sentence in mid-tier P&C platform decisions. The carriers I have heard say this have, in my experience, an 80%+ failure rate when applied to core PAS or claims platforms. The vendor products had decades of edge-case handling baked in - state-specific rate filing rules, ACORD compliance quirks, regulatory reporting variations. Greenfield custom builds for core platforms underestimate this institutional complexity by 3-5x. (For broader context on platform replacement, see the Pillar Main 2026 guide on insurance software development.)

Anti-pattern 3: Custom because the configuration learning curve felt steep

Vendor configuration genuinely is harder than vendor sales cycles imply. Real configuration of a modern P&C platform requires investment in vendor-specific tooling, training, and configuration patterns. But the right response is not “let us build custom instead” - it is “let us invest in real configuration capability.” Custom code does not have a shallower learning curve than vendor configuration. It has a deeper learning curve, masked by the fact that your team is generating the complexity instead of receiving it.

Anti-pattern 4: Vendor lock-in fear driving custom-from-scratch

The fear of vendor lock-in is legitimate. The response of “build everything custom so we own it” is, in my experience, almost always wrong at mid-tier scale. Building custom does not eliminate lock-in - it shifts the lock-in from a vendor to your internal engineering team. When the senior architect who built the custom platform leaves, the carrier inherits maintenance burden without the institutional knowledge to manage it. The mitigation for vendor lock-in fear is API-first vendor selection, contract terms with data portability clauses, and modular vendor product choices - not custom from scratch.

Anti-pattern 5: Custom as “control” theater

Some custom development decisions are driven by an emotional desire for “control” rather than a business case. The CIO wants to be able to say at board meetings that the carrier owns its technology. The architect wants the intellectual satisfaction of building. These are real motivations, and they are worth acknowledging - but they do not survive 5-year TCO analysis. If the only justification for custom is “we want to own it,” the answer is almost always “you do not actually want to own the maintenance burden that comes with it.” Configuration on a vendor product gives you most of the control benefits without most of the cost.

Custom vs Configuration vs Buy vs Partner - the decision matrix

The Build vs Buy framing is incomplete for mid-tier P&C carriers in 2026. The real decision is four-way: Custom code (build from scratch or substantial custom modules), Configuration (use vendor product’s built-in configuration to fit specific needs), Buy off-the-shelf (use vendor product as delivered with minimal modification), or Partner (engage a delivery partner to combine vendor product with targeted custom modules). Each option has a different cost, timeline, and risk profile. The decision matrix below maps the four against common mid-tier carrier scenarios.

Custom vs Configuration - the distinction Daniel actually needs

Configuration uses the vendor’s built-in tooling - product configurators, rules engines, low-code platforms, parameter screens - to encode carrier-specific logic without writing custom code. Custom development writes new code, often in the vendor’s extension framework or as an external service integrated through APIs. The practical difference: configuration upgrades cleanly with vendor releases; custom code does not. Configuration is supported by vendor documentation and community; custom code is supported by your team. Configuration changes can be made in hours by trained product analysts; custom changes require engineering cycles. In my experience working with mid-tier carriers, the carriers that systematically prefer configuration over custom - even when configuration takes 30% longer initially - end up with platforms they can maintain at lower long-term cost.

When Partner makes more sense than Buy or Build

Partner approaches - where a delivery partner combines vendor product with carrier-specific custom modules - work when the carrier needs the depth of a vendor product on the 70% and the differentiation of custom code on the 30%. The partner brings two things: domain expertise on the vendor product itself and engineering capability for custom modules that integrate cleanly. The risk to manage is dependency on the partner relationship - which is why partner-built custom modules should follow architecture patterns that the carrier’s internal team can take over within 18-24 months of go-live.

Cost and timeline realities for mid-tier carriers

The most consistent failure mode I see in mid-tier P&C custom development decisions is unrealistic cost and timeline assumptions. Vendor sales cycles emphasize “we will deliver in 6 months for under $1M.” That number is rarely the number the carrier ends up spending. The honest ranges below reflect what I have seen in actual engagements at mid-tier scale.

Cost ranges (mid-tier P&C, $500M-$5B GWP)

The wider the scope, the longer the timeline, and the higher the failure risk. The carriers I see succeed at custom development discipline their scope. The carriers I see fail at custom development try to do everything at once.

Maintenance burden - the cost nobody plans for

Initial development cost is the visible part of custom investment. The maintenance burden is the invisible part, and it is usually 15-25% of initial cost annually - state-specific regulatory updates, integration version compatibility, security patches, data model evolution. Mid-tier carriers that scoped custom modules without budgeting for ongoing maintenance typically experience operational degradation around years 3-4, when the original engineering team has rolled off and nobody has been funding the maintenance work. Plan for it from day one.

How to set realistic expectations with the board

When Sarah goes to her board to justify a custom development investment, the framing that works is this: scope the work to the 30% that genuinely differentiates, budget the visible 70-80% as initial development, budget the invisible 20-30% as ongoing maintenance over a 5-year horizon, and set milestone gates where the project can be paused or descoped if scope assumptions prove wrong. Custom development is not a single decision - it is a sequence of decisions over 18-36 months, and the cheap option is the one that includes off-ramps. (For the broader 5-year TCO context, see the Pillar Main on insurance software development.)

Hidden risks of custom and how to manage them

The five risks below are the ones I see most often go unmanaged in mid-tier P&C custom development engagements. None of them are unavoidable - they are all manageable with discipline - but they are the reasons custom development fails when it does.

Risk 1: Key-person dependency

Custom code at mid-tier carriers frequently ends up dependent on the senior engineer or architect who designed it. When that person leaves, the carrier inherits institutional knowledge gaps. Mitigation: enforce documentation standards from day one, conduct architecture reviews with multiple engineers, rotate engineers across modules during development. In my experience working with mid-tier carriers, key-person dependency is one of the most reliable predictors of long-term maintenance failure - when the senior architect who built the custom module leaves, the carrier inherits maintenance burden without the institutional knowledge to manage it.

Risk 2: Data model lock-in

Custom data models built specifically for one carrier are difficult to migrate from. When the carrier later needs to integrate with a vendor product, the custom data model becomes the constraint - either the vendor product accommodates it (rare) or the carrier rebuilds the data layer (expensive). Mitigation: anchor custom data models to ACORD standards (https://www.acord.org/) where possible, document data lineage from day one, and design with future portability in mind.

Risk 3: Regulatory drift

NAIC requirements, state DOI rules, and ACORD standards evolve continuously. Vendor products absorb regulatory updates through release cycles. Custom code does not - the carrier’s team must catch every regulatory change and implement the corresponding update. Mitigation: subscribe to NAIC and state DOI updates, build regulatory monitoring into ongoing operations, and budget for regulatory drift in annual maintenance. Carriers that skip this step end up with custom modules that quietly fall out of compliance.

Risk 4: Integration debt

Custom modules typically integrate with vendor products, third-party data sources, and adjacent custom systems through APIs. When any of those upstream systems evolve - vendor releases new versions, third parties deprecate API endpoints, adjacent custom systems get refactored - the custom module needs maintenance work to stay current. Integration debt compounds over time and is the most common reason custom systems become “the system nobody touches” by year 5-7.

Risk 5: Scope creep masked as “small enhancements”

The most insidious failure mode I see in mid-tier custom development is scope creep disguised as small enhancements. The initial scope was bounded; over 18 months, business stakeholders requested 30 “small” additions that individually seemed harmless. By month 18, the project has doubled in scope, blown past budget, and lost the discipline that made the original scope defensible. Mitigation: rigorous scope governance from day one, explicit change-request process with cost transparency, and willingness to push back on stakeholder requests that fall outside the original differentiation rationale.

Decerto’s custom development methodology and reference cases

Decerto delivers custom insurance software development services as part of our insurance software development services offering. The methodology below is what we apply when a carrier engages us for custom work, whether as standalone modules or hybrid engagements combining custom modules with our Higson modular P&C platform.

The 5-step methodology

The five steps are sequenced to enforce the 70/30 discipline before any custom code gets written. Step 1: Business needs analysis - we map the requirements against vendor product capability before scoping custom. If a configuration solution exists, we will recommend it. Step 2: Architecture design - we anchor custom modules to ACORD standards, design API surfaces for future portability, and document data lineage. Step 3: Iterative delivery - we build in 2-week sprints with continuous business review, prioritizing the highest-differentiation 30% first. Step 4: Quality validation - functional testing, integration testing, regulatory compliance verification, security validation. Step 5: Knowledge transfer - documentation, architecture review with the carrier’s internal team, transition plan for ongoing maintenance.

Reference case: MediaMarkt embedded insurance engine

MediaMarkt is one of the largest consumer electronics retailers in Europe, with 1,000+ stores across the continent. We built a custom embedded insurance engine and consumer finance aggregation platform integrated into their retail purchase flow on the Decerto Higson stack. The installment purchase process compressed from 20 minutes to 5 minutes. The project received the MediaMarkt Group Experience Award in the Usage Experience category. The lesson for mid-tier carriers: embedded insurance is a legitimate scenario for custom development when the underlying platform supports it and the business volume justifies the investment. Read the full MediaMarkt embedded insurance case study.

Reference case: Allianz Poland product management

Allianz Poland engaged Decerto to transform product management complexity into a maintainable product configuration system using Decerto Higson. The outcome: centralized product logic, business users empowered to make product changes without engineering cycles, and significantly shortened development time for new product variants. This is an example of the configuration-over-custom pattern - the carrier needed product flexibility, and the answer was a configurable product platform rather than custom code per product. Allianz is part of Decerto’s 20+ year partnership reference set.

Reference case: InterRisk VIG modern sales platform

InterRisk (part of Vienna Insurance Group) engaged Decerto to build IRON, a modern sales platform that automated agent processes and drove digital transformation across distribution. The platform combined custom-built sales workflow modules with integration to InterRisk’s underlying core systems. This is an example of the hybrid pattern: vendor or in-house core handles the standard PAS functionality, custom modules deliver the differentiating distribution capability.

Reference case: Generali Group Poland 14-month full PAS migration

Generali Group Poland completed a 14-month full PAS migration with Decerto, consolidating auto, property, and commercial lines onto a unified multi-line platform. The project involved both configuration of the vendor platform and targeted custom modules where Generali Poland’s product structures required them. This is the anchor case for mid-tier multi-line consolidation done well - bounded scope, disciplined 70/30 application, hybrid configuration plus custom approach. Browse the broader Decerto case study portfolio for additional context.

FAQ

What is custom insurance software development and how does it differ from off-the-shelf?

Custom insurance software development is the design and engineering of insurance applications - policy administration, claims, billing, underwriting workbench, agent portal, rating engines, reinsurance modules - built from the ground up or as custom modules on top of a vendor platform. Off-the-shelf insurance software is delivered as a pre-built product with vendor-maintained features and configuration options. The practical decision for mid-tier P&C carriers is rarely all-or-nothing - it is the proportion of custom code vs configuration vs off-the-shelf vs partner delivery that fits the carrier’s specific situation.

When should mid-tier P&C carriers build custom insurance software vs buy off-the-shelf?

Mid-tier P&C carriers should build custom in five specific scenarios: specialty product structures with no off-the-shelf match, differentiating distribution or workflow logic, hybrid pattern with custom modules on vendor product, regulatory use cases not covered out-of-box, and integration glue when vendor connectors are insufficient. Custom is an anti-pattern when rebuilding generic CRM, billing, or standard policy admin; when justifying with “we can build something better in 18 months for half the cost”; when driven by vendor lock-in fear; or when the motivation is control theater rather than business case.

How much does custom insurance software development cost for mid-tier carriers?

Custom insurance software development cost ranges for mid-tier P&C carriers typically run: $200K-$700K for narrow custom modules over 3-6 months, $700K-$2M for substantial custom modules over 6-12 months, $1M-$3M for major custom subsystems over 9-18 months, and $3M-$15M+ for full custom core platforms over 24-48 months. Ongoing maintenance typically runs 15-25% of initial development cost annually. The wider the scope, the higher the failure risk - mid-tier carriers should bias toward narrow custom modules within a vendor product framework.

What is the 70/30 rule in custom insurance software development?

The 70/30 rule states that approximately 70% of a mid-tier P&C platform should be vendor product or out-of-box capability, while 30% can be custom where genuine differentiation lives. The 70% covers solved problems - ACORD AL3 exchange, NAIC Schedule P calculations, standard endorsement workflows, billing with auto-pay, state DOI filing automation - that multiple vendors do well. The 30% covers specialty product structures, unique distribution patterns, niche analytics, complex reinsurance programs, and integration glue.

What are the hidden risks of custom insurance software development?

The five hidden risks in custom insurance software development are key-person dependency (the carrier becomes dependent on the senior engineer who built it), data model lock-in (custom data models are difficult to migrate from), regulatory drift (carriers must catch every NAIC, state DOI, and ACORD update themselves), integration debt (custom modules require maintenance as upstream systems evolve), and scope creep masked as small enhancements. All five are manageable with discipline but cause most custom development failures when unmanaged.

What is the difference between custom development and configuration in insurance software?

Configuration uses the vendor’s built-in tooling - product configurators, rules engines, low-code platforms - to encode carrier-specific logic without writing custom code. Custom development writes new code, often in the vendor’s extension framework or as an external service. Configuration upgrades cleanly with vendor releases and is supported by vendor documentation; custom code does not upgrade automatically and is supported by the carrier’s team. Mid-tier carriers should systematically prefer configuration over custom even when configuration takes longer initially.

How long does it take to deliver custom insurance software at mid-tier P&C scale?

Custom insurance software delivery timelines at mid-tier P&C scale vary by scope: 3-6 months for narrow modules, 6-12 months for substantial modules, 9-18 months for major subsystems, and 24-48 months for greenfield core platforms. Mid-tier carriers should bias toward shorter scopes - 6-month modules have substantially higher success rates than 18-month modules, which in turn have higher success rates than multi-year platform builds.

Can Decerto build custom insurance software on top of an existing vendor platform?

Yes - the hybrid pattern combining a vendor product (or Decerto Higson) with custom modules built by Decerto is one of the most common engagement structures. The pattern works when the vendor product covers the 70% of standard P&C functionality and Decerto delivers custom modules for the 30% that genuinely differentiates the carrier. This is typically more successful than full greenfield custom builds at mid-tier scale.

Related reading

Custom development decisions connect to most other questions in P&C platform strategy. The articles below extend specific themes covered above:

• Insurance Software Development: The Complete 2026 Guide for P&C Insurance Carriers
• The Evolution of P&C Insurance Software: From Legacy Systems to Digital Platforms
• Top Trends in P&C Insurance Software for 2026
• The Role of AI in P&C Insurance Software: Risk Management Use Cases 2026
• What is Specialty Insurance Software and Who Needs It
• Reinsurance Automation: 5 Processes P&C Carriers Can Implement in 2026
• Decerto Policy Administration System (PAS)

Talk to Decerto about custom development for your P&C platform

Every quarter you spend rebuilding the 70% your vendor already covers is a quarter your custom team is not delivering the 30% that genuinely differentiates your carrier. The cost is not theoretical. It compounds in maintenance burden you did not plan for, in integration debt that surfaces at year 3, and in opportunity cost on the differentiating modules that never got built because the engineering team was busy reinventing standard functionality. The mid-tier P&C carriers winning in 2026 are not the ones building everything custom - they are the ones disciplined enough to say “this is the 30% we will own, and everything else we will configure or buy.”

A custom insurance software development conversation with Decerto is a 30-minute peer-to-peer working session with me - Piotr Biedacha, CEO and Head of Delivery - and a senior solution architect from the team that has actually shipped custom insurance modules in production. It is not a vendor pitch and not a generic custom dev brochure. We talk about your specific platform landscape, the differentiation rationale behind your candidate custom modules, the alternatives in configuration or partner delivery, and whether the work is genuinely in the 30%. If your situation calls for configuration on a vendor product rather than custom development - I will tell you that. We have lost engagements by making that recommendation. We will keep doing it, because the alternative is shipping projects that fail in 18 months.

What you get from the conversation: a vendor-neutral assessment of which candidate custom modules actually belong in your 30%, a realistic cost and timeline range for the modules that do, an honest comparison of Custom vs Configuration vs Buy vs Partner for your situation, and architecture recommendations matched to your existing platform stack. What we get: a sense of whether Decerto is the right partner for your custom work. Sometimes we are. Sometimes we are not.

Sources

1. NAIC AI Model Bulletin (2023, adopted by over half of US states by 2026)
2. NAIC Annual Statement Instructions including Schedule F and Schedule P
3. ACORD Standards (AL3, XML, APIs)
4. Capgemini World Property and Casualty Insurance Report 2025
5. Datos Insights (formerly Aite-Novarica) - P&C Insurance Core Modernization Reports
6. Forrester Wave research on P&C Insurance Solutions and Low-Code Development Platforms
7. Martin Fowler - Strangler Fig pattern for legacy modernization