Before You Buy Another Piece of Technology, Define the Problem
There's no shortage of technology available to independent insurance agencies today. Between agency management systems, CRMs, automation platforms, and the seemingly endless number of AI solutions entering the market, there's a tool for just about everything.
And if you've attended an industry conference or sat through a software demo recently, you've probably heard some pretty impressive promises about what these products can do for your agency.
But there's a question I think agency owners need to ask themselves more often before purchasing another piece of technology.
What problem are we actually trying to solve?
It sounds simple, but it's a step that gets overlooked far too often.
The Problem With Starting at the Solution
Technology vendors are very good at demonstrating what their products can do. That's their job.
They'll show you how their software can automate tasks, improve productivity, increase retention, or free up your employees to focus on more important work. And some of those products really can deliver on those promises.
The problem is that it's easy to get caught up in what a product can do without stopping to consider whether your agency actually needs it.
Maybe you saw a demonstration at a conference. Maybe another agency owner recommended a product. Or maybe you've heard so much about AI lately that you feel like you're falling behind if you're not implementing something.
None of those are necessarily bad reasons to investigate new technology. But they shouldn't be the reason you purchase it.
When you start with the solution instead of the problem, you run the risk of spending money on technology that doesn't address your agency's actual needs. Even worse, you might end up adding another system for your employees to manage without meaningfully improving their day-to-day work.
Identify the Problem Before Looking for Technology
Let's use a common agency scenario.
Imagine your agency has a process where employees manually review homeowners renewals whenever the premium increases by more than 15%.
As your book of business grows, the number of renewals requiring attention grows with it. Your employees are spending more time reviewing policies, identifying accounts that need to be remarketed, and preparing alternative quotes.
The immediate reaction might be to look for software that automates renewal remarketing.
And that might ultimately be the right solution.
But before we start scheduling demos, we need to understand what's actually happening.
Are employees struggling to identify which renewals need attention? Are they spending too much time entering information into carrier portals? Are renewals being reviewed too late? Or is the real issue that employees are spending so much time on these tasks that they can't keep up with other service responsibilities?
Those are four different problems, and they don't necessarily require the same solution.
We also need to understand the business impact.
Are we losing customers because renewals aren't being addressed in time? Is the workload preventing employees from servicing existing customers or supporting new business? Are we approaching the point where we'll need to hire additional staff just to keep up?
Now we're getting somewhere.
Instead of saying, "We need renewal automation," we can start defining a specific problem, understanding its consequences, and determining what an improvement would actually look like.
That's a much better starting point for evaluating technology.
Evaluate Technology Against the Problem
Once you've identified the problem, you can start looking at solutions.
But now your evaluation process should look a little different.
Rather than asking vendors to show you everything their software can do, ask them to demo how their product would address your specific workflow.
If your problem is identifying renewals that need attention, can the software reliably flag those accounts based on your criteria?
If your problem is the amount of time spent preparing alternative quotes, how much of that work can the product actually eliminate?
If your concern is employee capacity, how much time could the solution realistically give back to your team?
And don't forget about everything surrounding the tech itself.
Will it integrate with your existing systems? What will implementation require? Will employees need to change how they work? What happens when something doesn't go according to plan?
These questions matter because even a great product can be a poor fit for the wrong agency.
You should also consider whether the problem requires new tech at all.
Sometimes the solution is improving an existing workflow, providing additional employee training, or taking advantage of functionality already available in software that you're paying for.
Other times, purchasing a new product absolutely makes sense.
The important thing is that you're making that decision based on an actual business need rather than an impressive feature list.
How Will You Know If It Worked?
There's one more piece of this that I think is just as important as defining the problem in the first place.
How are you going to measure success?
If you're implementing technology to reduce the amount of time employees spend processing renewals, you need to know how much time they're spending today.
If you're trying to improve retention, you need to understand your current retention numbers.
If you're hoping to increase employee capacity, you need to establish what that capacity looks like before making changes.
Without a baseline, it's difficult to determine whether the investment actually accomplished what you intended.
And remember, saving an employee ten hours a week doesn't automatically mean you've saved the agency ten hours' worth of payroll expenses. But it might mean that employee has more time to service customers, support producers, or handle additional business without increasing headcount.
Those are valuable improvements, too. They just need to be measured and considered appropriately.
Technology Should Solve Problems, Not Create New Ones
I'm a big believer in what technology can do for independent insurance agencies. There are some genuinely impressive solutions available today, and I think we're going to continue seeing significant improvements in what agencies can accomplish with automation and AI.
But technology should be a means to an end, not the end goal itself.
Before you purchase another platform, sign another subscription agreement, or start another implementation project, make sure you can clearly explain three things:
- What specific problem are we trying to solve?
- How does this tech address that problem?
- How will we know whether it worked?
If you can answer those questions, you're in a much better position to make a worthwhile investment.
And if you can't, you probably aren't ready to buy the software just yet.

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