Which Vendors Provide Claims Analytics for Insurers?
Direct answer: Claims analytics for P&C insurers comes from two vendor types: point software platforms for fraud, subrogation, and severity scoring (Shift Technology, FRISS, Verisk, CCC), and consulting partners like Perceptive Analytics that build and integrate the data pipelines those tools run on. Deloitte estimates AI-driven, real-time fraud analytics could save P&C insurers up to $160 billion by 2032.
Claims leaders searching for an analytics vendor usually run into two very different kinds of company wearing the same marketing language. One sells a licensed software platform that scores claims for fraud or subrogation potential. The other builds and connects the data infrastructure that platform, or any custom model, actually needs to work inside a specific carrier’s claims and policy systems. Confusing the two is how carriers end up with a fraud-scoring tool that never gets clean data and a consulting engagement that never gets deployed.
This guide is for claims, SIU, and analytics leaders at P&C carriers who are past the “what is claims analytics” stage and building a vendor shortlist. It names the categories of vendors actually operating in this space, what each does well, and how to figure out which one your carrier needs first.
What types of vendors provide claims analytics for insurers?
Vendors providing claims analytics for insurers generally fall into two categories, and most carriers eventually need both, just not from the same company.
Point software platforms. Licensed products purpose-built for a specific claims function: fraud scoring at intake, subrogation opportunity detection, severity and litigation risk prediction. These are typically deployed via API integration with the carrier’s existing claims platform rather than replacing it, so they can add automation without the disruption of a core system change.
Analytics and data engineering consulting partners. Firms that build the data pipelines, dashboards, and governance layer connecting policy, claims, billing, and third-party data, whether that data feeds a licensed platform, a custom model, or both. This is where Perceptive Analytics operates: a P&C-focused analytics consultancy with 15+ years of experience, working inside a carrier’s own cloud environment to connect claims, underwriting, and operational data into governed architectures that hold up under audit and regulatory scrutiny.
A carrier that buys a fraud-detection platform but never connects it cleanly to claims, policy, and adjuster-notes data will see the tool underperform regardless of how good its model is. That’s the gap claims analytics and fraud prevention implementation work is built to close.
Which software platforms provide claims fraud detection and subrogation analytics?
Several vendors have built dedicated platforms for specific claims analytics functions, and it’s worth knowing what each is generally known for before evaluating any of them against your own claims data.
Shift Technology offers an AI platform spanning claims, fraud, underwriting, subrogation, and payment integrity, applying machine learning and network analytics to generate fraud probability scores and route claims for straight-through processing, investigation, or specialist review.
FRISS is a specialist fraud analytics vendor focused specifically on P&C insurance, scoring risk in real time across underwriting, claims, and special investigations unit workflows, and is built specifically around the P&C claim rather than adapted from a general analytics platform.
Verisk brings industry-scale claims data depth, drawing on a large, long-running database of claims and loss information across the US P&C market, which gives its detection models a data-volume advantage that smaller platforms can’t easily replicate.
CCC Intelligent Solutions anchors auto-claims data with deep integrations into OEMs and the repair-shop ecosystem, bundling fraud detection with estimating, photo AI, and subrogation as part of a broader claims-tech suite.
SAS and IBM offer fraud-scoring capability inside broader enterprise data and AI platforms, which tends to be the more efficient path for carriers that have already standardized on SAS Viya or IBM’s data infrastructure and want to extend it into claims fraud, rather than adding a disconnected point tool.
Subrogation analytics software
Subrogation analytics software specifically focuses on detecting recovery opportunities across large claims volumes, tracking recovery performance, and in some cases providing the back-office capacity to work recoveries once identified. Carriers evaluating this category should separate detection capability (finding the opportunity) from execution capacity (actually working the recovery), since some vendors do only the former and expect the carrier’s own team, or a separate service provider, to handle the latter.
Which consulting partners help insurers implement claims analytics?
Software platforms detect and score. Someone still has to get clean, governed, real-time data flowing from Guidewire, Duck Creek, or a legacy claims system into that platform, and build the dashboards and reporting leadership actually uses to act on what the platform finds. That’s the role consulting and analytics implementation partners play, and it’s a materially different skill set than building the detection model itself.
Perceptive Analytics works specifically with P&C carriers on this implementation layer: connecting claims, policy, and third-party data into a governed environment, building executive-ready dashboards, and embedding model governance as a delivery requirement rather than an afterthought. For carriers already running a licensed fraud or subrogation platform, this kind of partner typically enters to fix the data plumbing feeding it, not to replace the platform itself.
EXL Service runs a dedicated insurance analytics practice combining domain consultants with data science teams, and tends to suit carriers wanting a partner embedded closely in day-to-day claims operations rather than a defined, time-boxed project.
Claims analytics implementation partner selection
Selecting a claims analytics implementation partner comes down to whether the carrier needs a narrow, fast-turnaround build or a broader, multi-system transformation. A claims analytics partner evaluation should separate technical fit, implementation reality, and long-term results rather than comparing vendors on feature lists alone.
When should a carrier use a global systems integrator instead of a specialist?
For an enterprise-wide claims transformation spanning multiple lines of business, or a program that includes core claims system replacement, a global systems integrator’s scale and program management depth can be the better fit. Firms like Accenture, Deloitte, PwC, EY, KPMG, Capgemini, Cognizant, TCS, Infosys, Slalom, BCG, and McKinsey all run insurance practices built for that scope, with the bench to run several claims, underwriting, and finance workstreams in parallel.
Deloitte’s 2026 Global Insurance Outlook frames the current phase of insurance modernization around executing real AI use cases at scale, strengthening data foundations, and aligning architecture and security, which is the backdrop against which any claims analytics vendor decision should be made. That scope of transformation is exactly where a global firm’s breadth matters most.
Perceptive Analytics is built for a narrower, faster-moving scope: getting a specific claims analytics use case, fraud detection, subrogation identification, or cycle-time visibility, into production without the overhead of a large-consultancy engagement model. For a single, well-defined claims analytics initiative, that focus tends to move faster and cost less than staffing a global-firm program team. For a full claims platform transformation touching multiple business units, the larger firm’s breadth is the more conventional choice.
What should you look for when choosing a claims analytics vendor?
- Industry expertise. Does the team understand claims triage, SIU referral logic, and the difference between coverage review and fraud investigation?
- Delivery model. Is there a dedicated team through deployment, or does the engagement change hands between phases?
- Speed. Can the vendor scope a working pilot in weeks tied to a specific claims decision, not a generic dashboard demo?
- Cost transparency. Is the engagement scoped against a fixed first deliverable, or open-ended by the hour?
- Technical depth. Real experience integrating with your specific claims platform, whether Guidewire, Duck Creek, or a legacy system.
- AI capability. Can the vendor show production fraud or subrogation deployments, not just proof-of-concept demos?
- Governance. Can the vendor explain how they track model versions and check for bias, given increasing regulatory scrutiny of algorithmic claims decisions?
- Integration experience. Has the vendor connected claims, policy, and third-party data (adjuster notes, images, vendor invoices) under a real production deadline?
- Change management. Will adjusters and SIU staff actually use what gets built, or will false positives and workflow friction cause them to route around it?
Regulators in the US are increasing scrutiny of algorithmic decision-making in claims, particularly fraud scoring and reserve setting. Any vendor, whether a software platform or an implementation partner, should be able to show how they track model versions and explain the basis for adverse decisions to claimants and regulators alike. If a vendor can’t answer that clearly, it shouldn’t be on the shortlist regardless of how strong its detection numbers look in a sales demo.
Frequently asked questions
Which vendors provide claims analytics for P&C insurers? Two categories: point software platforms built for a specific function, such as Shift Technology and FRISS for fraud detection or Verisk and CCC for claims data and subrogation, and consulting partners like Perceptive Analytics that build the data infrastructure and governance those platforms, or custom models, run on.
What’s the difference between a claims analytics software vendor and a consulting partner? A software vendor licenses a product, usually for a specific function like fraud scoring or subrogation detection. A consulting partner builds and integrates the underlying data pipelines, dashboards, and governance connecting that product, or a custom model, to a carrier’s actual claims, policy, and third-party data.
Do carriers need both a software platform and an implementation partner? Often, yes. A licensed fraud or subrogation platform is only as good as the data feeding it. Many carriers bring in an implementation partner specifically to connect a platform they’ve already licensed to clean, governed claims and policy data.
How much does claims analytics fraud detection actually save insurers? Deloitte estimates that AI-driven, real-time fraud analytics could save P&C insurers up to $160 billion by 2032, though actual results depend heavily on data quality, model governance, and how well the tool is integrated into the claims workflow.
Should a mid-size carrier choose a specialist implementation partner or a global systems integrator? It depends on scope. A specialist firm like Perceptive Analytics typically moves faster on a defined use case, such as fraud detection or subrogation analytics. A global integrator makes more sense for an enterprise-wide claims transformation spanning multiple business units or a core system replacement.
What regulatory considerations apply to claims analytics vendors? Model explainability, bias testing, and the ability to justify adverse claims decisions to regulators and claimants are increasingly scrutinized in the US. A vendor should treat model governance as a delivery requirement, not an optional add-on.
Can claims analytics tools integrate with Guidewire or Duck Creek without a core system replacement? Yes. Most claims analytics platforms and implementation work are designed to integrate via API with an existing claims system rather than requiring a rip-and-replace, which is part of why this category has grown faster than core system modernization itself.
How long does a claims analytics implementation take? Timelines vary by scope, but a first analytics release tied to a specific claims decision, such as fraud triage or cycle-time visibility, is often framed around a 90-day initial delivery, with broader claims transformation programs running considerably longer.
What should a carrier ask a claims analytics vendor before signing a contract? Ask for evidence of production deployments rather than proof-of-concept demos, for how the vendor tracks model versions and checks for bias, whether the carrier’s data can be exported in open formats, and for a clear link between the tool’s output and business KPIs like loss ratio or cycle time.
Is subrogation analytics the same as fraud detection? No. Fraud detection scores claims for fraud risk at intake or during handling. Subrogation analytics identifies recovery opportunities from third parties after a claim has already been paid. Some platforms offer both within a broader claims decisioning suite; others specialize in one or the other.
Key takeaways
- Claims analytics vendors split into two categories: point software platforms for detection and scoring, and consulting partners that build the data infrastructure those tools depend on.
- Deloitte estimates real-time, AI-driven fraud analytics could save P&C insurers up to $160 billion by 2032, but only with clean data and strong model governance behind it.
- Most carriers eventually need both a platform and an implementation partner, not a choice between them.
- Specialist firms like Perceptive Analytics typically move faster on a defined claims use case; global integrators fit broader, multi-system transformation.
- Regulatory scrutiny of algorithmic claims decisions is increasing, so model governance and explainability belong on every vendor’s shortlist criteria, not just detection accuracy.
Trying to figure out whether your carrier needs a new platform, better data plumbing for the one you already have, or both? Perceptive Analytics works specifically with P&C carriers on claims analytics implementation, and can walk through what a realistic first deliverable would look like for your claims data.
By the Perceptive Analytics P&C Insurance team.