Integrity, the insurance distribution and financial-services technology company, is expanding its AI-enabled agent ecosystem through a new partnership with Meraz Health Insurance Agency, a Medicare-focused independent marketing organization based in Temecula, California. The deal gives Meraz’s agents access to Integrity’s technology stack, including IntegrityCONNECT and its AI-powered assistant, Ask Integrity, as insurance distribution increasingly shifts toward software-assisted, data-driven customer engagement.
The partnership is less about a conventional agency affiliation than it is about where insurance distribution is heading: toward platforms that combine customer data, CRM workflows, quoting, enrollment and artificial intelligence in a single operating environment.
Financial terms of the partnership were not disclosed.
Meraz Health Insurance Agency, led by CEO Manuel “Manny” Meraz, has built its business around Medicare education and relationship-based service. Its agents help consumers evaluate health coverage while maintaining an emphasis on ongoing client support. Joining Integrity gives the agency access to a broader technology and product ecosystem as it expands its operations.
At the center of that ecosystem is IntegrityCONNECT, Integrity’s all-in-one platform for insurance agents and agencies. The platform combines CRM functionality with quoting, applications, enrollment and customer-management workflows. Its AI layer, Ask Integrity, provides client summaries, meeting and call notes, plan insights and AI-powered recommendations.
That architecture reflects a broader change in insurance technology. AI is moving beyond standalone chatbots and content-generation tools and into the operational systems where agents actually work.
AI-powered insurance platforms are increasingly being designed to help agents retrieve customer information, prioritize outreach, identify coverage changes and make recommendations without switching between multiple applications. The objective is not simply to automate an insurance task, but to compress the time between customer information, analysis and action.
Integrity has been developing this model for several years. The company introduced Ask Integrity as an AI-powered, voice-activated technology for agent workflows in 2023 and has since expanded it with capabilities such as shopper prioritization and plan insights.
The company’s broader IntegrityCONNECT platform was introduced as an integrated technology and growth engine in 2025. Integrity says agents using the platform have submitted 79% more applications, although that figure is a company-reported performance claim rather than an independently verified industry benchmark.
For Meraz, the technology could be particularly relevant as its Medicare business scales. Instead of treating AI as a separate productivity application, the agency can use AI capabilities inside the same environment used for customer records, product selection, enrollment and follow-up.
That distinction matters because insurance distribution remains heavily dependent on intermediaries. McKinsey estimates that agents, brokers and managing general agents account for roughly 95% of U.S. life insurance premiums, underscoring why technology that changes agent productivity can have an outsized effect on the industry’s operating model.
The competitive landscape is also changing. Insurtech vendors, carriers and distribution platforms are experimenting with generative AI, predictive analytics and increasingly autonomous workflows. Deloitte’s insurance research has identified distribution, risk management and claims as areas where generative AI implementations are already emerging, while noting that many insurers remain at the proof-of-concept stage.
Integrity’s approach is therefore competing less directly with a single chatbot than with fragmented technology stacks. Salesforce, Microsoft, Google and specialized insurtech providers can each supply pieces of the AI and CRM infrastructure, while insurance-specific platforms attempt to combine those capabilities with product data, compliance requirements and agent workflows.
That vertical integration can be useful for independent agents, but it also creates an important enterprise question: how much of an agency’s operating model should depend on one technology ecosystem?
For agencies considering AI adoption, interoperability, data governance and human oversight are becoming as important as model performance. Insurance recommendations can have financial and health consequences, particularly in Medicare and life insurance. AI can surface relevant information and automate administrative work, but agents remain responsible for understanding customer circumstances and ensuring recommendations are appropriate.
Integrity itself describes its technology strategy as combining data science, machine learning and AI across the insurance journey, from demand and prospecting through engagement and retention.
The Meraz partnership consequently provides a useful snapshot of the industry’s next phase. The competitive advantage may no longer come simply from having an AI assistant. It may come from embedding intelligence deeply enough into distribution workflows that agents can spend less time navigating systems and more time advising customers.
For independent agencies, that could make AI adoption a question of infrastructure rather than experimentation. The winners will likely be platforms that can make automation useful without making the agent relationship feel automated.
Market Landscape
Insurance is becoming an important proving ground for enterprise AI because the industry combines large volumes of structured customer data with highly repetitive workflows and complex regulatory requirements.
McKinsey’s recent analysis argues that AI is beginning to reshape insurance economics, while noting that distribution remains dominated by agents and brokers in major markets.
Deloitte has similarly identified a shift from AI experimentation toward operational deployment. Its insurance research highlights generative AI applications across distribution, claims and risk management, while also pointing to challenges around data, governance and organizational readiness.
The strategic contest is therefore moving toward AI-enabled insurance distribution platforms that can connect CRM data, product information, predictive analytics and workflow automation. Integrity’s partnership with Meraz fits that trend, but its long-term value will depend on whether AI capabilities produce measurable improvements in agent productivity and customer outcomes without weakening human oversight.
Top Insights
- Integrity is adding Meraz Health Insurance Agency to its AI-enabled network, expanding access to IntegrityCONNECT and Ask Integrity for Medicare-focused insurance agents.
- The partnership illustrates how insurance distribution is shifting from standalone AI tools toward integrated platforms combining CRM, quoting, enrollment, analytics and intelligent recommendations.
- Ask Integrity uses customer and policy data to generate summaries, prioritize outreach and surface recommendations, positioning AI as an embedded agent productivity layer.
- The move comes as insurers explore generative AI across distribution and operations, increasing pressure on independent agencies to modernize technology without sacrificing advisory relationships.
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