SOLARTIS INSURE · AI & INTELLIGENCE

AI That Does Real Work

Solartis uses AI to improve speed and accuracy across the entire platform, with our experts accountable for every result.

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Launch Products Faster with Solartis AI and Automation

Most insurance platforms point AI at submission intake and underwriting. Solartis uses it across the entire policy lifecycle, to bring your programs to market faster, run them better, and help your team get answers and get work done. Our insurance experts stay accountable for every result.

A Growing Set of AI Capabilities 

We are continually expanding our AI capabilities and improving what they do as the technology advances. Today, AI works across the platform, and its role keeps growing as the technology matures and we find new ways to put it to work for you. 

Here is what that looks like in production today.

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Configure (Configure and Test Rating Faster)

AI turns rating content into tested, Builder-ready configuration 

AI ingests rating content from three sources and turns it into Builder-ready configuration: AAIS, NCCI, and MA AIB (Mass Auto) bureau content, your Excel rating requirements documents, and your state filing rating content. Weeks of manual analysis become a validated first draft. 

AI then generates and runs the test scenarios that validate the rating across coverages, states, and rating conditions, with the delivery team reviewing the results. For the business, that means broader edge-case coverage before a program reaches production; for technical teams, a test suite that grows with the configuration.

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Transact (The Full Policy Lifecycle, Through One Connection)

One governed connection to all our policy life cycle microservices, for your people, your AI tools, and your systems.

The Model Context Protocol (MCP) is the open standard that connects AI tools and other systems to outside services. Think of it as USB-C: a common plug that lets any compatible system connect without a custom cable for each one. The Solartis MCP server is our side of that connection. It exposes all of our policy lifecycle microservices, applies security and permissions, and orchestrates the API calls that complete each transaction or answer each query. MCP is optional, and you can also connect directly to our APIs.

Connect what you already use. Your team’s AI assistants, AI agents you build, automated workflows, agency and broker portals, and your existing policy administration system all connect the same way. For example, you can keep your current system for your existing book while it reaches Solartis rating, quoting, and issuance for a new program.

Ask. Find what you need across your entire book. People ask in plain language, and systems query directly. Search, filter, and compare submissions, quotes, and policies, and drill into the detail without opening a form.

Transact. Complete any policy transaction: rate, quote, bind, issue, endorse, renew, cancel, and reinstate. It can start from a person’s request or a system’s call, with no switching screens and no re-entering data.

Less integration work. Ask for the outcome, such as “quote and bind this risk,” and the MCP server calls the right microservices in the right order. Your team doesn’t code each call and its sequence, and integrations need fewer changes as you add lines of business and programs. Direct APIs stay available when you want to control every call yourself.

Governed and private. Every request runs under the permissions of the user or system making it, so it can never do more than that user or system already can. Every action is recorded for audit. Solartis never sends your data to a public AI model. When you connect your own AI tools, your data goes only to the tools you choose.

 

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Analyze (Report, Analyze, and Book-Level Processing)

Solartis Explorer and your open data

Solartis Explorer does more than report. Alongside full reporting and dashboards, it runs what-if analysis and book-level processing, so you can act on your whole book, not just view it.

Your data also stays open: a near-real-time replicated database and schema you can use with your own BI tools, warehouse, or data lake.

Applying AI to analytics is on our roadmap, part of the growing set of AI capabilities we are expanding across the platform.

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Operate (24×7 System Monitoring)

Solartis Monitor, Jarvis AI, and our Monitoring Specialists, around the clock  

Once your programs are in production, Solartis keeps them running around the clock. Solartis Monitor continuously watches performance, capacity, and system health; Jarvis AI identifies the likely root cause of an issue and recommends a fix; and our Monitoring Specialists review, decide, and act. Together they catch and resolve issues before they affect your operations, backed by our uptime SLA. 

Human in the Loop

Every AI-generated configuration, test result, and operational fix is reviewed and approved by our experts before it reaches production. 

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Private, Your Data Never Goes to a Public AI Model

Solartis AI runs in a governed, tenant-isolated environment, under the same audited controls as the rest of the platform: SOC 2 Type II and ISO/IEC 27001, 27017, & 27018.

AICPA Cert - SOC 2 Type II

SOC 2 Type II Certified

SOC 2 Type II – Security, Availability, and Confidentiality

Solartis undergoes an annual SOC 2 Type II audit, conducted by an independent third party, to assess the design and effectiveness of our internal controls. This audit evaluates our adherence to the AICPA Trust Services Criteria across security, availability, and confidentiality, and applies to our Insure, Explorer, and Report platforms.

 

ISO IEC 27001 2022

ISO/IEC 27001:2022

Information Security Management System (ISMS)

Solartis is certified in ISO/IEC 27001:2022, the international standard for managing information security. This certification confirms that Solartis has implemented a robust framework of policies, procedures, and controls to protect data, reduce risk, and support business continuity across our cloud-based insurance solutions.

ISO Cert 27017_2015

ISO/IEC 27017:2015

Information Security for Cloud Services

Our certification in ISO/IEC 27017:2015 affirms that Solartis applies best practices for managing information security in cloud environments. It provides additional controls and guidance for cloud service providers and customers, reinforcing our commitment to secure, compliant, and resilient cloud operations.

ISO Cert 27018_2019

ISO/IEC 27018:2019

Protection of Personally Identifiable Information (PII)

Solartis is certified under ISO/IEC 27018:2019, which focuses on the protection of PII in public cloud environments. This certification ensures that Solartis follows rigorous privacy policies and data handling protocols, helping our customers comply with global privacy laws and maintain the confidentiality of personal data.

Solartis AI & Intelligence | Frequently Asked Questions

How does Solartis use AI across the policy lifecycle?

Solartis uses AI across the policy lifecycle, including product configuration, testing, and 24×7 operations, and its role keeps growing as the technology advances. Our insurance experts review and approve AI output before anything reaches production. 

Is Solartis AI in production today?

Yes. Solartis AI is in production today across configuration, testing, and operations, and we keep expanding what it does as the technology matures.

How does Solartis use AI to configure and test insurance products?

Solartis uses AI to turn rating content into Builder-ready configuration and to create and run the test cases that validate it, so programs reach production faster with broader test coverage. ISO content comes in directly through ISO ERC. Our experts review every result.

Who is accountable for AI-generated work at Solartis?

Solartis experts are. Every AI-generated configuration, test result, and operational fix is reviewed and approved by our experts before it reaches production.

Does Solartis send customer data to public AI models?

No. Solartis AI runs in a governed, tenant-isolated environment under the same audited controls as the rest of the platform, including SOC 2 Type II and ISO/IEC 27001, 27017, and 27018. When you connect your own AI tools, your data goes only to the tools you choose. 

How does Solartis use AI to keep the platform running?

Solartis Monitor watches performance, capacity, and system health around the clock, Jarvis AI identifies likely root causes and recommends fixes, and our Monitoring Specialists review, decide, and act, backed by our uptime SLA.

What is the Model Context Protocol (MCP)?

MCP is the open standard that connects AI tools and other systems to outside services. Think of it as USB-C: a common plug that lets any compatible system connect without a custom connection for each one. The Solartis MCP server is the Solartis side of that connection.

How is connecting to Solartis through MCP different from using APIs?

With APIs, each application is coded to call specific Solartis microservices in a set order. With MCP, any compatible AI tool, agent, workflow, or system can request what it needs, and the Solartis MCP server works out which microservices to call and in what order. That means less custom integration work as your needs change. Direct APIs remain available when you want full control.

How will Solartis AI capabilities change over time?

Solartis keeps expanding its AI capabilities as the technology matures, finding new ways to put AI to work across the platform. Every new capability runs under the same security controls and expert review as the rest of the platform. 

Schedule Time With Us!

Connect with our experts for a demonstration of our Solartis Insure Platform and our AI capabilities.