Insurance AI
A

Applied Systems

Applied Systems sells the software that runs insurance distribution rather than insurance underwriting, serving agencies and brokerages on the sell side of the market across property and casualty and employee benefits. The estate is layered by customer size and vintage, with Applied Epic as the flagship agency management system, EZLynx and DORIS serving smaller independent agencies, Applied TAM and Applied Vision covering earlier generations and complex commercial structures, Indio digitising commercial applications and renewals through smart forms, Tarmika handling commercial lines rating, and Applied CSR24, Applied Mobile and Applied Analytics extending self service, field access and reporting.

The asset that distinguishes it is Ivans, the property and casualty industry's connectivity exchange, which moves policy data between insurers, managing general agents, agencies and insureds using the industry's own data standards across personal, commercial, workers compensation and specialty and program lines. Owning the rails as well as the system of record is what the company means by its Digital Roundtrip of Insurance, covering prospecting, sales, servicing, renewals and back office operations in one connected path.

Applied Insurance AI is the artificial intelligence programme, announced as a wave in October 2025 and extended through 2026. Epic Bridge is an Outlook add in that files emails and attachments to the correct client account and generates summary notes from threads. Epic Max adds research, natural language question answering and information recaps inside the management system. Epic AutoFill reads carrier documents and pre fills fields, built on Cytora technology and shipping with a human in the loop review step. Applied Book Builder turns scattered account data into a view of upsell and cross sell opportunity, and an embedded renewals capability highlights commercial coverage gaps using business attributes, industry classification codes and existing coverage. Applied Recon automates commission reconciliation by extracting, cleansing, matching and reconciling carrier statements, reaching more than 140 agencies since its pre launch period with early adopters estimated to save more than eight hours of reconciliation time per week.

Scale is substantial: more than 11,000 agencies and brokerages worldwide representing more than 135,000 producers, service staff and other professionals, across the United States, Canada, the Republic of Ireland and the United Kingdom, with 7 of the top 10 agencies on one industry ranking using Applied Epic and 68 percent of another top 100 list relying on the company.

Founded in 1983 and headquartered in University Park, Illinois, privately held with Hellman and Friedman holding majority ownership since a 1.8 billion dollar acquisition from Bain Capital completed in 2014, alongside JMI Equity, a later minority investment from Google's growth investment arm, and management. Taylor Rhodes was chief executive through the artificial intelligence announcements, with Graham Blackwell reported to succeed him from September 2026.

Last VerifiedAugust 26, 2026
Compare Applied Systems with other vendors
Founded
1983
Headquarters
University Park, Illinois, United States
Categories
insurance-ai
Assessment

Capability Axes

Capability grades

15 of 15 axes rated · 6 graded A or B

AI Capability
AI Centrality
CC on AI CentralityArtificial intelligence is present but peripheral: a feature layer on a product whose value stands without it.
Vendor Published

The removal test leaves a very large business intact. Strip the models out and agencies still have their system of record, their accounting and commission structures, their client and policy files, their quoting through the commercial rating product, their self service portals, and above all the connectivity exchange moving policy data between insurers and agencies on industry data standards.

That exchange is infrastructure with no learned component at its core, and it is the asset competitors find hardest to replicate. Marketing describes the flagship as an artificial intelligence powered management system that moves beyond a traditional system of record, and the capabilities behind that phrase are assistive: email filing and summarisation, natural language question answering, document pre fill, opportunity identification and commission matching. Each makes existing work faster. None of them is what the customer bought the platform to do.

Autonomy and Oversight Model
BB on Autonomy and Oversight ModelA written commitment that the models work alongside human judgment, with real review surfaces, short of the full control structure: commonly the threshold at which the system stops or what happens after it is wrong.
Vendor Published

The oversight position is evidenced by product design rather than asserted in principle, which is what places it above the lane norm. The document extraction capability ships with a human in the loop review step built in, described as part of the feature rather than as a configuration option, so a person confirms extracted values before they populate the management system.

The wider capability set is scoped assistively throughout: summaries of email threads, natural language question answering, information recaps, opportunity identification, coverage gap highlighting and commission matching are all outputs a person acts on rather than actions the system completes. Two passes located no claim of autonomous execution anywhere in the estate, which for a vendor of this size in 2026 is a deliberate position.

What keeps it below the top band is that the review step is documented for one capability, and no equivalent statement covers the others or establishes what a user is shown before accepting a generated output.

Model Risk Management and Transparency
CC on Model Risk Management and TransparencyTransparency is claimed in general terms with no mechanism a model validator could interrogate.
Vendor Published

The audit scope makes this gap unusually visible. Independent examinations cover security, availability and confidentiality, and processing integrity is not among the criteria assessed, which is precisely the criterion addressing whether system processing is complete, valid, accurate and timely. That is the question a buyer would ask about document extraction populating policy fields and about automated matching of carrier commission statements against expected amounts.

Two passes located no accuracy or error rate for either, no validation methodology, no benchmark, no drift monitoring and no model documentation. The reconciliation product is the sharpest instance, because matching financial transactions is arithmetic with a right answer, and a published match rate with an exception rate beside it would be straightforward to produce and does not appear anywhere.

Operational and Outcome Evidence
AA on Operational and Outcome EvidenceNamed customers with hard performance figures and enough method to test them.
Vendor Published

This is the best evidenced record among the distribution and specialist vendors in this lane, on three separate measures. Penetration is stated against external rankings a reader can check rather than against the vendor's own list, with 7 of the top 10 agencies on one industry ranking using the flagship system and 68 percent of another top 100 list relying on the company, alongside more than 11,000 agencies and brokerages representing more than 135,000 individual users.

Artificial intelligence adoption is reported with a number and a cohort, with the reconciliation product reaching more than 140 agencies of all sizes since its pre launch period. And an outcome is quantified for that product, at more than eight hours of reconciliation time saved per week for early adopters. Independent recognition during 2026 includes a software product award and technology provider ratings. The reservation is that the hours figure is an estimate of averages with no measurement method published, so it indicates direction and magnitude rather than establishing them.

AI Safety and Data Stewardship
CC on AI Safety and Data StewardshipGeneral assurances that do not answer the question this axis asks, which is whether one customer’s data trains models serving its competitors. Unbounded cross client learning stated with no boundary grades here too.
Vendor Published

Two passes located no statement on whether agency, insured or carrier data is used to train or improve any model, no artificial intelligence data handling policy, and no description of what leaves the platform during inference. The exposure is broad because of where the capabilities sit: an Outlook add in reads and summarises email threads containing client correspondence, a document reader extracts from carrier paperwork, an opportunity tool assembles a view across an agency's whole book, and a reconciliation product processes carrier commission statements.

That combination touches client communications, policy detail and agency financial records. A structural question follows from the exchange business and nothing published addresses it: the company sits between insurers and agencies moving policy data across the industry, and whether any of that flow informs model development is exactly the sort of question a large brokerage should ask before enabling these features.

Regulatory and Compliance
GLBA and Data Privacy Posture
CC on GLBA and Data Privacy PostureA standard privacy policy that covers the website rather than the service, or silence on a product that touches limited consumer data.
Vendor Published

The audit scope is published with unusual precision and the precision reveals what is missing. Independent examinations cover the trust services criteria of security, availability and confidentiality, which leaves the privacy criterion outside the scope of the assessment, and privacy is the one that addresses collection, use, retention and disclosure of personal information.

Confidentiality protects designated information from unauthorised access, which is adjacent to privacy and is not the same commitment. Two passes located no data processing agreement, retention schedule or subprocessor list to fill that gap.

The data at issue belongs largely to people who are not the customer, since agencies hold personal and commercial information about insureds, and an artificial intelligence layer that reads emails, files attachments, extracts from carrier documents and builds book of business views is operating across all of it.

Security Certifications and Trust Center
AA on Security Certifications and Trust CenterCertifications named with their type and presented as retrievable artefacts, usually through a trust portal a buyer can open without asking.
Vendor Published

This is the most complete security disclosure encountered in this lane, and four specifics carry it. Independent examinations are of the second type, meaning operating effectiveness over a period rather than design at a point in time. They are conducted semi annually rather than annually, which is twice the ordinary cadence and means a buyer is rarely reading a report that has aged.

The criteria assessed are named openly as security, availability and confidentiality, so a reader knows exactly what was and was not examined rather than inferring it. And the scope is enumerated product by product, with the constituent systems of the cloud environment listed individually and separate reports maintained for two acquired products, which is the detail that turns a certificate into evidence.

Two routes to obtain the reports are published, including a self serve due diligence documentation area on the customer community site rather than a request queue. A buyer should still confirm the current period dates and note that privacy and processing integrity sit outside scope.

Regulatory Status and Licensure
CC on Regulatory Status and LicensureThe regulatory position is unstated. Most vendors in this index are technology suppliers and being unlicensed is the correct posture, so this grade records silence about the posture, not a missing licence.
Vendor Published

The company holds no insurance licence and does not claim one, and its customers are the licensed parties, since agencies and brokerages carry producer licensing in every state and jurisdiction they operate in. Two regulated surfaces are touched by the software without being addressed in anything published.

Agency accounting includes premium held on behalf of insurers and insureds, which in most jurisdictions carries fiduciary or trust account obligations examined by regulators, and the platform runs that accounting including commission structures and reconciliation. Producer licensing and appointment status govern who may transact which business, and nothing published describes whether the system enforces or tracks it. The company does publish a Canadian premium rate index as industry research, which is market intelligence rather than a regulatory function.

AI Governance and Bias Disclosure
CC on AI Governance and Bias DisclosureResponsible artificial intelligence committed to in policy language with no evaluation behind it, on a product whose bias surface is modest.
Vendor Published

Two passes located no responsible artificial intelligence statement, governance framework, fairness testing, model card or bias evaluation. The exposure here is different in kind from the carrier side vendors in this lane and worth naming precisely, because an agency system does not price risk or decline applicants. What it does is shape advice.

The coverage gap capability tells a producer which protections a commercial client appears to be missing, drawn from business attributes, industry classification codes and existing coverage, and the book of business tool directs attention toward some accounts and away from others. Both influence which clients receive proactive service and what they are advised to buy, which is a professional judgement the agency is answerable for under its own errors and omissions cover. Nothing published describes how either output is tested or what happens when the model consistently overlooks a category of client.

AI Liability and Recourse
DD on AI Liability and RecourseNothing published on who bears the loss when the system is wrong.
Vendor Published

Recourse is unaddressed in both directions and the liability question has an unusual shape here because the customer is a professional intermediary carrying its own duty of care. An agency advises a commercial client on coverage, and if a gap analysis drawn from industry classification codes and existing coverage misses a protection the client needed, the claim lands on the agency's errors and omissions cover rather than on this vendor, with nothing published allocating anything between them.

Document extraction populating policy fields creates the same structure, mitigated for that one capability by a built in review step that puts a named person on the confirmation. The insured is further removed still: they never see this software, are not told a model shaped the advice they received or the attention their account attracted, and have no route to either party. Two passes located no liability language, error handling policy or artificial intelligence specific service commitment.

Integration and Deployment
Model Supply Chain Disclosure
BB on Model Supply Chain DisclosureSubstantial partial disclosure, or a chain that is structurally short: an explicit in house build, on premise deployment, per customer instances, or zero retention at the model layer.
Vendor Published

One dependency is named openly in the product announcement itself, with the document extraction capability stated to be built on Cytora technology, and naming a third party model supplier inside a feature description rather than burying it is uncommon in this lane and genuinely useful, since it tells a buyer that a separate vendor's model reads their carrier documents and that vendor can be diligenced on its own terms. The rest of the estate is unattributed.

Two passes located no provider, model family, version or hosting arrangement for the natural language question answering and research capability, the email thread summarisation, the book of business intelligence or the reconciliation matching, and no notification commitment when any underlying model changes.

Naming the supplier for one capability while leaving the others unattributed is the specific asymmetry to raise, because it establishes that the company is willing to disclose and has chosen not to elsewhere.

Core Systems and Integration Depth
AA on Core Systems and Integration DepthNamed integrations with the systems of record, core banking, policy administration, custodial or contact center platforms, verifiable in marketplace listings or public API documentation.
Vendor Published

This vendor does not integrate with the distribution rails, it owns them. The connectivity exchange moves policy data between insurers, managing general agents, agencies and insureds on the industry's own data standards, supporting both batch download and real time services across personal, commercial, workers compensation and specialty and program lines, and carriers treat it as the route to the independent agency channel rather than as one option among several.

Around that sit the management systems, the rating product, the digital application and renewal platform, self service portals, mobile access and analytics, all natively connected so that a client interaction in one surface reflects in the system of record.

Third party integration is evidenced by named examples rather than by a partner count, including benefits plan modelling connected natively into the management system and a partnership with a carrier core vendor exposing the exchange inside its platform. The artificial intelligence follows the same pattern, reaching users inside their existing inbox and management system.

Deployment Model and Data Residency
CC on Deployment Model and Data ResidencyCloud only with nothing stated, which is the category norm.
Vendor Published

A defined cloud environment is named and its constituent products are enumerated, which is more structure than most vendors publish, and it appears in the context of audit scope rather than as deployment documentation. Two passes located no region list, no processing location statement, no tenancy description, no residency commitment a buyer could contract for and no private deployment path.

The gap matters because operations span four countries across two continents, including the United Kingdom and the Republic of Ireland, so European data protection obligations apply to part of the customer base and nothing published establishes where that data is processed or stored.

Products acquired over time sit on separate audit reports, which indicates separate infrastructure lineages, and nothing published describes whether they run in the same environment or how data moves between them.

Commercial
Commercial Transparency
CC on Commercial TransparencyNo price is published and engagement runs through a demo form, which is the norm in this index.
Third Party Estimated

Pricing is absent from every vendor surface across an estate spanning at least ten named products, and the buyer base makes that absence more consequential than usual, because a three producer independent agency and a global brokerage both appear on the customer list and neither can establish where it would land.

One third party estimate circulates in independent consulting content, putting the flagship system in the region of a few hundred dollars per user per month for a small agency with a four to five figure implementation and a 60 to 90 day onboarding, and it is an outsider's approximation rather than disclosure, offered here as the only public reference point rather than as a figure to rely on.

Nothing published indicates the unit of billing, contract term, or whether the artificial intelligence capabilities announced since October 2025 are included with the management system or licensed separately.

Institution and Segment Coverage
AA on Institution and Segment CoverageThe financial segments served are named and each carries its own maintained material, whether the coverage is broad or deliberately narrow.
Vendor Published

Coverage of the distribution side of insurance is close to comprehensive, which is what the top band is for. Agency size is addressed deliberately rather than incidentally, with distinct products for small independents, mid market agencies, and brokerages carrying complex structures, specialty lines or non traditional niche markets, so the company holds the customer as it grows rather than losing it at a threshold.

Line coverage spans property and casualty and employee benefits, with the exchange carrying personal, commercial, workers compensation and specialty and program business. Party coverage extends past agencies to insurers and managing general agents on the other side of the exchange, and to insureds through self service portals. Geography covers the United States, Canada, the Republic of Ireland and the United Kingdom. The one honest limit is that this is the sell side only, with no carrier core, underwriting or claims capability anywhere in the estate.

Commercial

Pricing

Vendor-published figures are labeled as such. Figures labeled “Estimated” are derived from third-party sources and have not been confirmed by the vendor.

Entry Price Pricing Basis Data Protection Terms Implementation Source
Not published. No price, unit of billing, tier or contract term appears on any vendor surface for the management systems, the connectivity exchange or the artificial intelligence capabilities
Not published on any vendor surface. The estate spans agency management systems at three or more tiers, a commercial rating product, a digital application and renewal platform, self service portals, mobile access, analytics and an industry connectivity exchange, and nothing published indicates whether charging follows users, agency revenue, policies or transactions, modules, or a platform subscription. Third party estimates point to per user monthly pricing for the flagship management system without vendor confirmation. The exchange raises a separate undisclosed question, since it is a two sided network used by both insurers and agencies and nothing describes which side pays, on what basis, or whether data transaction volume is a factor. No tiered data protection terms are published, and the assurance available at platform level is stronger than most of this lane while stopping short of privacy. Independent examinations of the second type are conducted semi annually against the trust services criteria of security, availability and confidentiality, with in scope products enumerated individually and separate reports maintained for two acquired products, obtainable either through an account manager or through a self serve due diligence documentation area on the customer community site. Privacy and processing integrity are outside that scope, so the criteria addressing how personal information is collected, used, retained and disclosed, and whether processing is complete and accurate, are not covered by the assessment a buyer will be handed. No data processing agreement, retention schedule or subprocessor list was located, and no statement was found on whether agency, insured or carrier data is used to train or improve models. No implementation or professional services fee is published, and the company maintains a professional services and consulting practice, so the function exists and is unpriced. Third party consulting content estimates onboarding for the flagship system at 60 to 90 days with implementation costs in the four to five figure range for a small agency, which is an outsider's approximation rather than a published figure and should be treated as such. The company's own material addresses implementation through enablement rather than cost, pointing to online tutorials and setup resources that reviewers credit with easing workflow configuration and client data migration. Migration is the material variable nothing addresses, because a substantial part of the customer base sits on the company's own earlier generation systems and moving between them is a different exercise from arriving from a competitor, with no timeline, cost or methodology published for either path. Third Party Estimated

Two passes across the company's site, its press archive, its product pages and third party coverage produced no price, unit or tier for any of at least ten named products. The company is privately held, founded in 1983, with Hellman and Friedman holding majority ownership since completing a 1.8 billion dollar acquisition from Bain Capital in 2014, JMI Equity investing alongside, a later minority investment from Google's growth arm, and management retaining a position, so no financial reporting fills the gap.

One third party estimate exists in independent consulting content, placing the flagship management system in the region of a few hundred dollars per user per month for a small agency with a four to five figure implementation cost and a 60 to 90 day onboarding period, offered here as the only public reference point rather than as a reliable figure.

The open questions are whether the artificial intelligence capabilities announced since October 2025 carry separate licensing, and how the connectivity exchange is charged to insurers versus agencies, since both sides of that market use it.

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AI FinTech Index

The AI FinTech Index is an independent index that tracks changes to AI vendors in financial services. It holds 489 vendors across banking, lending, insurance, wealth, capital markets and financial crime compliance, each graded on the same 15 capability axes from public sources. No vendor pays for inclusion, placement, or rating.

Index Status
Last index update
September 5, 2026
The AI FinTech Index is an editorial reference, not a regulatory body. Vendor data is verified against published sources and public regulatory filings. Figures labeled “Estimated” have not been confirmed by the vendor. See the Methodology page for evaluation standards and limitations.
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