The Short Answer: Almost All of Them — But in Different Ways

If you're wondering whether your competitors in insurance are already using AI, the answer is almost certainly yes. The better question is how — and the gap between "experimenting" and "fully scaled" turns out to be enormous.

The numbers are striking. A Deloitte survey of 200 US insurance executives found that 76% have implemented generative AI in at least one business function. Life & annuity insurers lead at 82%, while property & casualty carriers sit at 70%. And this isn't a slow-moving industry catching up late — BCG research shows insurance outpaced nearly every other sector in early AI adoption as of 2024, nearly matching technology, media, and telecommunications companies.

Here's the honest caveat, though: adoption is an industry-wide pattern, not a neat list of named carriers. Most published research describes how insurers use AI rather than which ones. The concrete named examples are few:

• AXA UK, which has been building its AI data foundation since 2017, according to Deloitte's research.
• One large (anonymized) insurer that handles nearly 50,000 claims-related communications daily using tailored GPT models.
• At the agent level, independent producers actively using tools like ChatGPT, Synthflow, and HubSpot AI for lead follow-up, qualification, and appointment setting.

The usage itself spans the whole insurance value chain. Guidewire notes that chatbots, large language models, image analysis, and policy matching are already in use across P&C insurance, while AI-driven claims systems can compress weeks-long claims lifecycles into days or hours.

But here's the number that matters most: only 7% of insurers have scaled AI enterprise-wide, and about two-thirds remain stuck in the piloting stage. That gap between 76% implementing and 7% scaling is the real story. Big carriers are spending $25M to $100M annually on full deployment, but 70% of scaling challenges come from people, processes, and organizational issues — not technology.

That's why smaller insurance businesses don't need to wait for an enterprise transformation to benefit. Focused tools deliver the same core value — instant lead response, 24/7 answering, automated follow-up — without the scale problem. CallMyLeads, for example, gives independent agents and agencies exactly that: every lead answered in seconds and every missed call recovered, done-for-you.

So the short answer stands: nearly all of them, somewhere. The difference is whether AI is a pilot deck or a working system that actually responds to customers.

Where Insurers Actually Use AI: Claims, Underwriting, and Customer Response

Insurance companies are actively deploying AI across core operations today—not just experimenting. Real-time claims processing now compresses what once took weeks into days or hours through automated routing and decision algorithms according to industry analysis. One large insurer handles nearly 50,000 claims-related communications daily using tailored GPT models, demonstrating scale in action per BCG research. Underwriting teams use AI for faster risk assessment and policy matching, while fraud detection systems analyze patterns in real time to flag suspicious activity as noted by Guidewire.

At the agent level, AI delivers immediate, practical advantages. Tools like ChatGPT, Synthflow, and HubSpot AI are already being used for lead qualification, automated outreach, and appointment setting—turning slow follow-ups into 24/7 engagement per PSM Brokerage. This means agents can respond to new leads in seconds, book appointments automatically, and nurture prospects until they’re ready—without missing opportunities due to delayed replies. For insurance businesses, this translates to faster lead-to-book cycles and higher conversion rates from existing marketing spend.

• Lead qualification and scoring happen instantly based on predefined rules
• Automated outreach ensures no inquiry goes unanswered, day or night
• Appointment booking runs on its own with confirmations and reminders
• Persistent follow-up nurtures not-ready leads until they convert
• CRM and calendar sync keeps all data in the agent’s existing workflow

These capabilities aren’t theoretical—they’re being used right now by insurance agents to close more sales and save time as confirmed by industry practitioners. While only 7% of insurers have scaled AI enterprise-wide per BCG, agent-focused tools deliver value immediately without requiring massive investment. CallMyLeads supports this exact use case—providing done-for-you AI lead response and appointment setting that integrates with existing systems, answers calls 24/7, and ensures every lead gets a fast, honest reply before interest fades. This is how smaller insurance businesses gain an edge today: by meeting leads where they are, the moment they raise their hand.

The Adoption Gap: Why 76% Have Started but Only 7% Have Scaled

Almost every insurer has AI somewhere — but almost none have it everywhere. That single tension explains the state of AI in insurance better than any list of carrier names could.

According to Deloitte's survey of 200 US insurance executives, 76% have implemented generative AI in at least one business function — climbing to 82% among life and annuity insurers. Yet BCG's research finds only 7% have scaled AI enterprise-wide, with roughly two-thirds of insurers still stuck in piloting. Widespread experimentation exists; transformation is rare.

The numbers measure different things, which is why both can be true. Implementation in one function is a pilot — a chatbot here, a claims-drafting tool there. Enterprise-wide scale means AI runs through underwriting, claims, service, and sales as a connected system. Most insurers sit between those points, running pilots under $5M a year while full strategic deployments run $25M or more, often $50M to $100M annually.

Here's the part most coverage misses: the biggest barrier isn't technology. BCG attributes 70% of scaling challenges to people, organizational, and process issues, with technology representing only about 30%. Deloitte found the #1 factor in failed implementations was lack of business-line support, followed by weak data foundations and legacy IT. Talent readiness ranked as the weakest area of all.

For independent agents and small insurance businesses, this gap is quietly good news. The carriers spending tens of millions aren't competing with you on speed-to-lead — they're wrestling with organizational change, actuarial culture, and legacy systems. Meanwhile, agent-level AI is already practical and affordable:

• Lead qualification and automated outreach, using tools like ChatGPT, Zapier, and HubSpot AI, per agent-focused guidance from PSM Brokerage
• AI appointment setting with 24/7 availability and persistent follow-up, described as a current reality for insurance professionals
• Done-for-you services like CallMyLeads, which answer every lead and missed call in seconds, around the clock, for a per-minute rate rather than an enterprise budget

The lesson from the 7% who scaled isn't "spend more." It's that focused tools beat sprawling pilots when the goal is a specific outcome. You don't need a $25M deployment to stop losing leads to voicemail — you need a response system that fires in seconds, every time. Insurers proving AI's value at scale handle nearly 50,000 claims communications daily with tailored GPT models; an independent agency can prove the same principle with one lead-response workflow.

Stop paying for leads you never get to talk to. Book a free 15-minute scoping call with CallMyLeads and see how every lead — form, ad, chat, or missed call — gets answered in under 10 seconds, 24/7/365. Your leads, your data, and your calendar stay yours.

How Insurance Businesses Can Use AI Now (Without an Enterprise Budget)

Insurance agents don’t need enterprise AI budgets to start using AI today. While only 7% of insurers have scaled AI enterprise-wide, 76% of US insurance executives have already implemented generative AI in at least one business function, showing that practical, focused use is within reach for smaller operations.

Agents can apply AI right now to the most time-sensitive part of their workflow: lead response. Tools like CallMyLeads enable instant replies to new leads from forms, ads, or referrals — critical because the first responder often wins the business. Missed calls trigger automatic text-backs so no opportunity goes to voicemail, and 24/7 AI reception handles inquiries, books appointments, and routes urgent calls, all while capturing lead details directly into existing CRMs.

For leads not ready to buy, automated nurture sequences keep the conversation going until they are, reducing drop-off without manual follow-up. This approach mirrors how top-performing agents use AI for lead qualification, appointment setting, and persistent outreach — activities proven to close more sales and scale books of business.

Compliance remains essential. With 17 states adopting the NAIC AI governance bulletin, agents retain full responsibility for regulatory obligations, including honest disclosure. CallMyLeads addresses this by design: callers always know they’re speaking with AI, opt-outs are honored immediately under A2P 10DLC rules, and every interaction includes clear paths to reach a human or book online.

By focusing on speed, consistency, and compliance, insurance businesses can use AI to respond faster, book more appointments, and never lose a lead to delay — all without the cost or complexity of enterprise-scale AI projects.

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