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 digitizing 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 company's AI program, 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 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 AI 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

Agencies keep their system of record, accounting, quoting and self service portals with the models removed. Email filing and summaries, plain language answers, document prefill and commission matching make existing work faster, but none is what the platform was bought 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

Document extraction ships with a built in human review step, so a person confirms values before they populate the management system. Summaries, answers and coverage gap highlights are outputs people act on, though no comparable review statement covers them.

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

Processing integrity, the audit criterion for complete, valid and accurate processing, sits outside the examined scope. Reconciliation matching has a right answer, yet no match rate, exception rate or extraction accuracy appears.

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

Penetration is checked against outside rankings, 7 of the top 10 agencies on one list and 68 percent of another top 100, across more than 11,000 agencies and 135,000 users. The reconciliation product reached more than 140 agencies with more than eight hours a week saved, an averaged estimate with no measurement method.

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

An Outlook add in summarizes client email, a document reader extracts from carrier paperwork and a book of business tool spans whole agencies, yet nothing says whether that data trains any model. Policy data flowing across the industry exchange raises the same question, and inference data handling is undescribed.

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

Audit scope covers security, availability and confidentiality, which leaves the privacy criterion governing collection, use and retention of personal data unexamined. No data processing agreement, retention schedule or subprocessor list fills that gap for insured data an AI layer now reads.

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

SOC 2 Type II examinations run twice a year against named criteria, with scope enumerated product by product and separate reports for two acquired products. Reports are available through a self serve due diligence area on the customer community site.

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 license.
Vendor Published

Premium held for insurers and insureds carries trust account obligations, and producer licensing governs who may transact, yet the software's role in either is not addressed. The company holds no insurance license, and its Canadian premium rate index is market research 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

Coverage gap highlights tell a producer what a commercial client seems to lack, and book of business views steer attention toward some accounts. Both shape advice the agency answers for, and no responsible AI statement or testing of either output is published.

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

A missed coverage gap lands on the agency's errors and omissions cover, with nothing allocating responsibility to the vendor. Insureds never see the software, are not told a model shaped their advice and have no route to either party, and liability language is absent.

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

Cytora technology underpins document extraction, a named third party model supplier a buyer can diligence. Question answering, email summarization and reconciliation matching have no named provider or change notice.

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

The connectivity exchange moves policy data between insurers, general agents and agencies on industry data standards in batch and real time, and carriers treat it as the route to independent agencies. Named integrations include benefits plan modeling inside the management system and a carrier core vendor exposing the exchange in its platform.

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

A named cloud environment appears in audit scope, but no region list, processing location or residency commitment is published. Customers in the UK and Ireland bring European obligations, and acquired products on separate reports suggest separate infrastructure with no account of data movement.

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

Ten named products carry no published price, though the buyer range runs from a three producer agency to a global brokerage. An outside consulting estimate of a few hundred dollars per user a month is the only public reference point, and whether the AI features come with the management system is unstated.

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

Distinct products follow an agency from small independent to complex brokerage, across property and casualty and employee benefits, with insurers, general agents and insureds reached through the exchange and portals. Coverage spans the US, Canada, Ireland and the UK, and stays on the sell side with no carrier core, underwriting or claims capability.

Alternatives to Applied Systems

Vendors in the same categories as Applied Systems whose profiles look most alike, each with a line on what the product does. Similar is not the same: check that each one does the job you need. No vendor pays for placement.

San Mateo headquartered, New York listed provider of a core system suite for property and casualty insurance, serving more than 570 insurers across 43 countries.

hyperexponential builds what it calls a pricing decision intelligence platform for commercial property and casualty insurers, reinsurers and managing general agents.

Vertafore is the other half of the independent agency technology duopoly, selling management systems, connectivity and compliance infrastructure across insurance distribution.

Insurity sells cloud based core software and analytics to property and casualty insurers, brokers and managing general agents.

Majesco sells core insurance and retirement platforms: policy, billing, claims, underwriting, rating, loss control, distribution and benefits administration for property and casualty, life…

Sapiens runs the operating systems of more than 600 insurers across 38 countries.

The index publishes no overall score or ranking. See what we assess and the methodology.

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 AI 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 platform level assurance stops short of privacy. SOC 2 Type II examinations are conducted twice a year against the trust services criteria of security, availability and confidentiality. In scope products are enumerated individually, and separate reports are maintained for two acquired products. Reports are obtainable through an account manager or a self serve due diligence documentation area on the customer community site. Privacy and processing integrity are outside that scope. The criteria on how personal information is collected, used, retained and disclosed, and on 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 is published, and nothing states 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. That is an outsider's approximation rather than a published figure. 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. 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. No timeline, cost or methodology is published for either path. Third Party Estimated

Neither the company's site, press archive and product pages nor third party coverage gives a price, unit or tier for any of at least ten named products. The company is privately held and was founded in 1983. Hellman and Friedman has held majority ownership since completing a $1.8 billion acquisition from Bain Capital in 2014, with JMI Equity investing alongside. Google's growth arm later made a minority investment, and management retains a position, so no financial reporting fills the gap.

One third party estimate exists in independent consulting content. It places 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. It is the only public reference point, not a reliable figure.

The open questions are whether the AI 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 610 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
October 20, 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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