AI agents are the coworkers your insurance agency actually needs
While 400,000 insurance workers head for retirement and CSRs spend 10 hours daily on certificates, AI agents are quietly handling complex workflows at a fraction of the cost - here is what agencies need to know about this shift.

Your CSRs are spending 10 hours a day processing certificates when it could take 90 minutes.
That’s not a typo. Agencies manually processing 30 certificates daily burn through 10 hours of skilled labor for work that modern AI agents handle in under two hours. Meanwhile, 400,000 insurance workers are heading for the exits by 2026, and you’re competing with every other agency for the shrinking pool of talent willing to do this manual work.
Here’s what nobody’s telling you about AI agents in insurance: they’re not chatbots with fancy names. These are virtual coworkers that understand insurance workflows end-to-end.
The talent math doesn’t work anymore
Let me paint you the real picture. One-quarter of your workforce is 55 or older. Your median employee is 44 years old - significantly older than other industries. Half your workforce will retire by 2028.
But wait, it gets better.
Your CSRs - the backbone of your operation - are drowning. They spend 50% of their time on paperwork and computer input instead of actually helping clients. That certificate of insurance that takes 20 minutes manually? With basic templates it drops to 3 minutes. With AI agents? It happens automatically while your CSR focuses on that complicated bind.
I came across IIABA data showing agencies using AI see 43% higher revenue per employee. Not 4.3%. Forty-three percent. That’s the difference between growing and getting crushed by the agency down the street that figured this out six months ago.
What AI agents actually do (not what vendors claim)
Forget the marketing fluff about “digital transformation.” Here’s what’s actually happening in agencies using AI agents right now.
Remember that Turkish insurer I mentioned? Anadolu Sigorta was manually reviewing 30,000 claims monthly for fraud. Two weeks per claim. They switched to AI agents and hit 210% ROI in twelve months, saving $5.7 million in fraud costs alone.
Closer to home, Aviva cut liability assessment time by 23 days - not hours, days - while reducing customer complaints by 65%. Their AI agents saved them $82 million in 2024 just in claims handling.
These aren’t future promises. This is happening now.
AI agents handle entire workflows, not just individual tasks. They’re reading carrier documents, extracting data, filling your AMS, checking for errors, routing to the right people, following up on missing information, and updating clients - all without human intervention.
Think about your renewal process. Instead of your team manually checking each renewal, pulling loss runs, analyzing coverage gaps, shopping carriers, and preparing proposals, AI agents handle the entire flow. They identify policies coming up for renewal, automatically gather updated information, flag coverage issues, generate multiple quote options, and even draft the client communication. Your producers review and personalize the final touch, but the ten hours of grunt work? Gone.
The workflows that matter most
Everyone talks about chatbots. Let’s talk about what actually moves the needle in your agency.
Certificate processing is the obvious one. Agencies tell me they’re drowning in certificate requests. That 10-hour daily grind becomes 90 minutes when AI agents read the request email, pull the policy data, generate the certificate, send it to the client, and update your system. No human touches it unless there’s an exception.
Commission reconciliation makes everyone want to quit. Matching carrier statements to your system, identifying discrepancies, chasing down missing payments - it’s soul-crushing work that AI agents handle better than humans because they never get tired of comparing numbers.
Renewal management is where agencies leave money on the table. There’s research showing 76% of producers say fast underwriting decisions are critical for placing business. AI agents prep everything before your producers even look at it. They’re analyzing the account, identifying cross-sell opportunities, preparing market options, and drafting proposals while your team sleeps.
Claims status updates eat massive time for zero revenue. Clients call asking about their claim, your CSR calls the carrier, plays phone tag, updates the client… repeat 50 times a day. AI agents pull status updates automatically and proactively notify clients before they even ask.
But here’s what really caught my attention: managing renewals topped the list of inefficient tasks agencies struggle with. Not data entry. Not quoting. Renewals - the thing that should be your easiest money.
The human truth about AI resistance
Your team thinks AI agents will replace them. They’re half right.
AI agents will replace the parts of their job they hate. Nobody became an insurance professional to spend 50% of their time on data entry. Nobody dreams of reconciling commission statements. Nobody gets excited about generating their 47th certificate of the day.
Here’s what 79% of agency principals already figured out - AI agents don’t replace your people. They multiply them. Your CSR handling 50 certificates a day can suddenly handle 200 while actually talking to clients. Your producer chasing renewal paperwork can focus on winning new accounts.
The agencies thriving aren’t the ones with the most AI. They’re the ones who figured out AI agents handle workflows, not just tasks.
Money talks - here’s what it says
Let’s get specific about ROI because vague promises don’t pay bills.
Applied Systems showed their Epic AutoFill AI cuts data entry time by hours per day. Not minutes. Hours. Every single day. For every single person using it.
One wholesale broker increased new business submissions by 67% after implementing AI agents for underwriting. Same team. Same market. Just 67% more business because they stopped drowning in paperwork.
The math is straightforward. If your average CSR costs $50,000 annually and spends half their time on administrative tasks, that’s $25,000 in manual processing. AI agents handle that same work for a fraction of the cost - we’re talking $200-500 per specific outcome, not per hour.
Multiply that across your team. Five CSRs? You’re looking at $125,000 annually in manual processing costs. Ten CSRs? Quarter million. And that’s before considering the 43% revenue boost per employee from agencies already using AI.
The implementation reality check
Here’s where most agencies screw up: they think AI agents are like software you install and forget.
Wrong.
AI agents are like hiring virtual employees. You need to show them your workflows, your rules, your exceptions. The good news? Unlike human employees, you only train them once.
The agencies succeeding start small. Pick one painful workflow - usually certificates or renewal processing. Get that working. Show the team how much time they’re saving. Then expand.
Don’t try to automate everything at once. BCG found that focusing on core functions like underwriting, claims, and service delivers 90% of AI value. The rest is just expensive noise.
You also need to address the elephant: agents are equally likely to see AI as threat or opportunity. Your team needs to understand these aren’t job replacements. They’re job enhancers. The CSR who used to process 30 certificates now handles complex accounts. The producer who chased paperwork now focuses on relationships.
What happens if you wait
Every month you delay, your competition gets stronger.
Tech-savvy agencies are already 35% more likely to grow year-over-year. They’re not smarter than you. They just started earlier.
By 2026, you’ll have lost 400,000 potential employees to retirement. The talent pool isn’t getting bigger. The young professionals you want to hire? They’re not interested in manual data entry. They want to work at agencies using modern tools.
Your carrier partners are watching too. Underwriting decisions that took 24 hours now take 2 hours at agencies with AI agents. Carriers notice who can handle volume and who can’t. Guess who gets better terms?
Start here, not there
Forget the grand digital transformation plan. You need wins next quarter, not next year.
Start with certificates if you’re drowning in them. Start with renewals if you’re losing accounts to non-renewal. Start with commission reconciliation if you’re leaving money on the table. Pick the workflow that hurts most.
The key is picking AI agents designed for insurance, not generic automation tools. You need something that understands ACORD forms, carrier portals, state regulations, and the million exceptions that make insurance special.
Don’t build it yourself. By the time you finish, two more carriers will have changed their portals and three states will have new requirements. Partner with companies that live and breathe insurance workflows.
Your AI agents should handle complete workflows, not just tasks. Certificate issuance isn’t just generating PDFs - it’s reading requests, validating coverage, creating documents, sending them out, and updating your systems. If your AI agent can’t do all of that, you’re just moving the bottleneck.
The conversation changes everything
This isn’t about replacing people with robots. It’s about giving your team superpowers.
Your CSRs become client advisors. Your producers become relationship builders. Your account managers become strategic partners. The mind-numbing work that makes good people quit? That’s what AI agents handle.
While everyone else fights over the shrinking talent pool, you’re multiplying your existing team’s capacity. While they’re drowning in manual processes, you’re focusing on growth.
The agencies that figure this out in the next 12 months will dominate the next decade. The ones that don’t will wonder why they can’t hire anyone and their best people keep leaving for “modern” agencies.
AI agents aren’t the future of insurance operations. They’re the present. The future is what you build while your competition is still processing certificates by hand.
Want to see what AI agents could do for your specific workflows? Let’s look at your biggest time-wasters and put numbers to the solution.
About the Author
Amit Kothari is an experienced consultant, advisor, and educator specializing in AI and operations. With 25+ years of experience and as the founder of Tallyfy (raised $3.6m), he helps mid-size companies identify, plan, and implement practical AI solutions that actually work. Originally British and now based in St. Louis, MO, Amit combines deep technical expertise with real-world business understanding.
Disclaimer: The content in this article represents personal opinions based on extensive research and practical experience. While every effort has been made to ensure accuracy through data analysis and source verification, this should not be considered professional advice. Always consult with qualified professionals for decisions specific to your situation.