Artificial intelligence (AI) is helping insurers and agents improve the client experience by reducing administrative burdens, streamlining information management, and supporting faster access to relevant information. While AI may assist with information retrieval, document organization, summarization, workflow routing, and pattern analysis, trained professionals remain responsible for client interactions, guidance, and insurance‑related decisions.
As AI adoption expands across the insurance industry, strong governance, transparency, data protection, and human oversight remain essential. The most effective insurance experience combines the efficiency of technology with the judgment, accountability, and trust skilled professionals provide.
Clients have always looked to their insurance providers for clear communications, straightforward processes, timely answers, and personalized attention from professionals they can trust.
Today, advanced technologies—particularly AI—are helping insurers and agents deliver faster, easier and more personalized experiences. Agents and brokers have an opportunity to use technology to reduce administrative friction while strengthening the guidance and personal attention clients value. Understanding both the benefits and the boundaries of AI can help professionals address client questions honestly and confidently.
When using and talking about AI, agents should keep in mind three key considerations:
AI and automation may help streamline administrative work through activities such as information retrieval, document organization, summarization, workflow routing, and pattern analysis. These capabilities can improve efficiency and help professionals focus more time on serving clients.
Greater capabilities require greater responsibility. As AI plays a larger role, strong governance, data protection, transparency and human oversight are crucial.
Human expertise remains essential. AI can support better service from an administrative perspective, but trained professionals still provide the judgment, understanding, and personal connection at the heart of insurance, managing all client‑facing decisions and outputs.
When agents understand how these pieces fit together, they can explain AI's role to clients more effectively—and demonstrate the value agents continue to bring to the insurance experience.
The Three Client Expectations AI Can Help Insurers Fulfill
For clients, AI has the potential to make parts of the insurance experience easier, more efficient, and more relevant by supporting approved administrative and information‑management activities. “Make It Easy for Me”
No one wants to spend time navigating unnecessary questions, paperwork, or administrative steps. Now
technology has the potential to take on more and more of that work.
For example, digital applications can adapt questions based on previous answers, so they don’t ask for information that doesn't apply. Behind the scenes, AI and automation can help retrieve data, move it where it needs to go, and reduce repetitive administrative tasks.
Clients may never see this automation at work, but they’ll notice fewer unnecessary steps and a smoother process.
“Keep It Relevant to Me”
Clients expect service and communication that reflect their individual needs, not a one‑size‑fits‑all approach.
In some approved contexts, analytics may help organize information or identify patterns— but technology cannot understand a client’s goals, priorities and circumstances on its own. That understanding still requires conversation and discovery—and skilled agents provide the essential context that turns information into useful, personal guidance.
“Help Me Get Answers”
Sometimes clients simply need information quickly and clearly.
AI tools may help organize information, retrieve relevant materials, summarize non‑sensitive content, and route inquiries to the appropriate teams. These capabilities can reduce administrative effort and help professionals respond more efficiently.
Clients benefit from faster access to information, while trained professionals remain responsible for answering questions, providing guidance, and supporting important decisions.
Technology can help improve efficiency, but trust remains at the center of every client relationship.
As AI’s Role Grows, Trust Becomes Even More Important
Agents can use these three expectations as a simple conversation guide:
Explain where technology makes the process easier.
Clarify that qualified professionals remain responsible for decisions involving claims, underwriting, and other insurance activities.
Share with clients how their information is used and protected.
Make these ideas practical by asking a few focused questions:
Which parts of the insurance process feel most confusing or time‑consuming?
How would you prefer to receive updates?
What questions do you have about how your information is used and protected?
The answers help agents personalize service and identify where human guidance matters most. AI adoption is accelerating across the insurance industry.
A 2026 survey by the European Insurance and Occupational Pensions Authority (EIOPA) of 347 insurers across 25 countries found that nearly two‑thirds were actively using generative AI.
As AI’s capabilities improve, insurers need to think beyond using AI to work more efficiently. Insurers must also consider how they can use AI responsibly while maintaining the trust at the heart of insurance.
That challenge is receiving global attention. The
International Association of Insurance Supervisors (IAIS) reports that insurers are increasingly incorporating AI into existing governance and risk‑management frameworks, with particular attention to privacy, cybersecurity, fairness, transparency and oversight.
These priorities closely align with Pan‑American Life Insurance Group's approach to responsible AI: applying appropriate safeguards, maintaining human accountability, and protecting the trust clients place in the company and its agents.
Five Priorities to Keep People in Charge
At PALIG, we view AI as an opportunity to enhance innovation, productivity, and service—not as a replacement for professional expertise and human judgment. PALIG's AI governance framework emphasizes five priorities:
Responsible and ethical use
Regulatory compliance
Protection of clients and employees
Transparency and accountability
Risk management and oversight
Depending on the approved use case, AI may support activities such as information retrieval, document organization, summarization, workflow routing, and pattern analysis. Regardless of how the technology is used, people remain responsible for reviewing outputs, protecting sensitive information, applying professional judgment, and maintaining appropriate oversight.
As AI may take on more routine work, PALIG’s people have a duty to apply the judgment and understanding of individual circumstances that have always been our hallmarks.
What “Responsible AI” Means for Agents
Here's how agents can use AI responsibly to strengthen client relationships. In a recent PALIG Insights article, “
AI, Trust, and Growth: What Agents & Brokers Should Do Next,” Chief Data Officer Matthew Busbee and Sales Vice President Carmen Millie Gomez recommend framing AI as a tool that supports responsiveness, education and efficiency—but keeps human expertise at the center of high‑trust interactions such as coverage recommendations and benefits explanations.
This is where an agent's value shines. Agents can recognize the concern behind a client's question, understand circumstances that don't fit neatly into standard scenarios, and provide empathetic, personalized responses to difficult family situations—all of which
help build enduring client trust. Consider a client who recently welcomed a child and wants to know whether existing coverage still reflects the family’s needs. Before the meeting, an agent could use an approved AI tool to prepare—not to make the recommendation. These four AI prompts help the agent plan for the client conversation and think through the client’s needs:
“Create a discovery‑question checklist for a client whose family and financial responsibilities have recently changed.”
“Organize these non‑sensitive meeting notes into needs, priorities and follow‑up questions.”
“Explain the differences among these approved coverage options in plain language without recommending one.”
“Draft a follow‑up message that summarizes the client’s stated priorities, outstanding questions and agreed next steps.”
The agent must still verify the output, protect client information, follow approved processes and use professional judgment when discussing suitability. When used with care, AI can help the agent prepare a more relevant conversation, explain options clearly and address concerns, while the relationship and recommendation remain human‑led.
When it’s managed responsibly, technology can be a helpful behind‑the‑scenes assistant for administrative tasks, freeing agents to spend more time doing what only they can do: listening, explaining, advising, and building trusted client relationships.
A Better Customer Experience Is Both Digital and Human
As AI capabilities develop, clients may not know exactly how the technology works behind the scenes, but they will notice the experience it provides.
Was the process easy? Did they get answers promptly, and were they clear? Was their information handled responsibly? And when they needed help, was there a knowledgeable person available?
The goal is a better client conversation:
Uncover what has changed
Confirm the client’s priorities
Explain relevant options clearly
Address questions transparently
Agree on the next step
AI can help the agent prepare and communicate more efficiently, but the agent builds trust through attentive discovery, appropriate guidance, and reliable follow‑through. Technology makes the insurance process smoother, while people provide the judgment, accountability, and personal connection that earn a client's trust.
The key is striking the right balance, using technology to make insurance easier while keeping human relationships at its heart. Agents who can demonstrate that balance through responsive, transparent, and personalized service will be well positioned to strengthen client trust as AI becomes a larger part of the insurance experience.