Insurance

Your insurance agency does not need to choose between outsourcing and automation - you need both

Agencies spend 30-40% less with outsourcing but gain 40% productivity with automation. The real question is not which one to pick - it is knowing what each does best and how to combine them without the headaches.

Agencies spend 30-40% less with outsourcing but gain 40% productivity with automation. The real question is not which one to pick - it is knowing what each does best and how to combine them without the headaches.

Key takeaways

  • Outsourcing cuts costs 30-40%, automation boosts productivity 40% - Insurance agencies see the best results when they combine both approaches strategically rather than treating them as competing options
  • Rule-based and repetitive work goes to automation - Certificate processing, commission reconciliation, and data entry work best when AI agents handle them 24/7 with zero errors
  • Complex judgment calls and specialized tasks go to outsourcing - When work requires insurance expertise, compliance knowledge, or nuanced decision-making, skilled offshore teams deliver better results than trying to automate
  • Talent shortage makes this choice urgent - With 50% of insurance workers retiring by 2028 and agencies unable to hire fast enough, combining insurance outsourcing automation strategies is becoming a survival requirement, not a nice-to-have
  • Want to see what AI agents could handle for your agency? Let's map your repetitive workflows.

Your agency is drowning in back-office work while trying to hire people who do not exist anymore.

Here is the uncomfortable truth: 50% of insurance workers are retiring by 2028, and everyone is competing for the same shrinking pool of talent. Meanwhile, your CSRs spend 10 hours daily processing certificates that could take 90 minutes, and someone is staying late every month fighting commission spreadsheets.

The standard advice tells you to pick a side: outsource everything or automate everything. That is like asking if you need a left hand or a right hand.

You need both. You just need to know what each one does best.

The numbers everyone ignores

Let me show you what actually works when agencies get insurance outsourcing automation right.

Agencies using outsourcing see 30-40% cost reductions compared to equivalent in-house operations. That is not marginal - that is the difference between profitable growth and slowly going broke while you try to compete with the mega-brokers.

But wait.

There is data showing automation delivers 40% productivity gains while cutting operational costs 30%. One independent brokerage, Holmes Murphy, documented how automation saved them 44,000 hours and $6.9 million by eliminating unnecessary steps in their renewal process.

Both approaches save money and time. So why do agencies still treat this like an either-or decision?

What automation actually handles well

Forget the vendor hype about AI doing everything. Let me tell you what actually works right now in real agencies.

Automation crushes it when the work is repetitive, rule-based, and high-volume. Certificate of insurance processing is the perfect example - automation cuts processing time by 75-90% and saves agencies 15-20 hours weekly. What used to take 10 hours now takes 90 minutes, with fewer errors than any human could manage.

Commission reconciliation is another sweet spot. Remember those dreaded nights on the 26th, staying up late fighting carrier statements? One agency cut tracking time by 80% after automating their commission management, hitting 100% accuracy while their competitors were still drowning in spreadsheets.

The pattern is clear: if it is the same process every single time, AI agents handle it better than humans. They do not get tired, they do not make transcription errors, and they work while your team sleeps.

Where outsourcing beats automation every time

Now here is where agencies screw up their insurance outsourcing automation strategy.

They try to automate everything, including the work that actually needs a human brain. Complex claims reviews, nuanced underwriting decisions, client relationship management - these need insurance expertise, not just rule-following. Trying to automate work that requires judgment and context is how you end up with angry clients and compliance problems.

This is where business process outsourcing for insurance agencies makes sense. When you need licensed professionals who understand insurance but cannot afford US salaries, skilled offshore teams give you that expertise at a fraction of the cost. Agencies outsourcing to the Philippines save 70-80% on salary costs while getting workers who actually know insurance operations.

The talent shortage makes this urgent. 69% of insurance companies now rely on outsourcing to stay competitive, and it is not just about cost anymore - they literally cannot find enough qualified people domestically to fill the roles.

The hybrid model that actually works

Stop thinking about insurance outsourcing automation as two separate decisions. Smart agencies combine them.

Here is the framework: if it is repetitive and rule-based, automate it. If it requires judgment, expertise, or touches complex compliance, outsource it to specialists. If it is core client relationship work, keep it in-house no matter what.

Real example: certificate processing is pure automation territory - AI agents read the request email, pull policy data, generate the certificate, send it to the client, and update your system. Zero human involvement unless there is an exception. But complex commercial lines renewals with manuscript policies and unique terms? That goes to your experienced team or specialized offshore underwriters who know what they are looking at.

The beauty is that each approach makes the other one better. Automation handles the volume work so your outsourced team can focus on the complex stuff that needs their expertise. And both free up your in-house producers to do what actually drives revenue: building relationships and writing new business.

McKinsey found that insurers can automate 50-60% of traditional back-office operations, but that other 40-50% still needs humans. The question is whether those humans cost you $50,000 annually plus benefits in the US, or $7,000 annually through smart outsourcing partnerships.

Making the decision for your agency

Start with the work that hurts most.

If you are buried in certificate requests, start with automation. Certificate processing that used to take hours now takes minutes with the right AI agents. You will see results in weeks, not months.

If you cannot hire enough skilled staff and the work requires insurance knowledge, outsourcing gives you immediate capacity. You are not waiting six months to find someone - you have trained professionals working your processes within weeks.

The mistake is waiting until you are desperate. One client sent me research showing agencies using AI see 43% higher revenue per employee. Think about that - not 4%, forty-three percent. That gap compounds every year you wait.

The agencies thriving right now are not the ones with the biggest budgets or the fanciest technology. They are the ones who figured out that insurance outsourcing automation is not about replacing people - it is about using the right solution for each type of work so your actual team can focus on what drives growth.

Pick one workflow that is killing your team. Maybe it is certificates eating 10 hours daily. Maybe it is commission reconciliation making someone want to quit every month. Maybe you are turning away business because you cannot process it fast enough.

Fix that one thing. Then move to the next. You do not need a grand transformation plan - you need to stop bleeding time and money on work that should not require this much human effort.

Want to figure out which of your workflows should be automated and which need human experts? Let’s look at what is actually eating your team’s time and put specific numbers to both approaches for your agency.

About the Author

Amit Kothari is an experienced consultant, advisor, and educator specializing in AI and operations. He is the CEO of Tallyfy and Stern Stella, which focuses on managed AI agents that do work for you autonomously, 24/7 without you needing to build, test, improve or maintain them. 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.