Your benefits tech should be AI-forward

AI isn’t just for people who work in tech anymore. Many brokers are using AI-powered tools to strip away menial tasks from their to-do list, affording them time and energy to:

• Research up-and-coming carriers
• Brainstorm creative benefits plans
• Think through complex edge cases
• Meet with clients one-on-one

All great things that make brokers meaningfully more productive and effective at their job.

But you only get those payoffs if you’re using AI tools that actually work—ones that are designed specifically for benefits placement, that function the way brokers expect them to, without disrupting their flow.

That’s hard to find. It’s even harder when every ad, blog, and impressive demo is designed to make you ooh and ahh. Below, we share how to separate the platforms that have built AI into benefits placement workflows from those tacking AI on just to check a box.

But first, a quick primer on where AI fits best in benefits placement.

Why use AI in benefits placement?

Every client is different, but you’re still going through the same motions for each one: RFP prep, following up with carriers, normalizing data, comparing quotes. A good amount of that can be automated:

• Cleaning up messy census files from clients
• Extracting data from carrier quotes
• Normalizing plan designs and rates across carriers for easy comparison
• Building out client proposals in your branded template, populated automatically from carrier quotes
• Surfacing line-item intelligence across multi-line quotes (what changed, what’s missing)

Letting AI handle repetitive tasks can save you a lot of time, but mostly a lot of headache.

Less copy/pasting, limited handoffs—the data is already where it needs to be, in the format it needs to be in. That means fewer errors you have to remediate and explain to your clients, and more time to focus on strategy. Which, in this business, is what really sets you apart.

The cost of choosing a platform that’s behind

When you’re confident in your AI tooling, you can take on a bigger book of business without a bigger team—knowing that you’ll still be able to deliver the same level of quality and care.

But that confidence is hard to come by when AI has been bolted onto a platform instead of built into the workflow from the start. With that kind of platform, you’ll be second-guessing every output and inheriting the platform’s technical debt, an issue you’ll pay for in terms of:

• Reliability. Every patchy AI feature makes a system’s underlying code more brittle and slows the platform down. Bugs start to appear, integrations break, and you end up spending more time on the phone with IT than getting things done.
• Migration. In a rip and replace situation, you’re under pressure to get all your data out of your current tool and operational in a new one—likely on a deadline that doesn’t account for cleanup work that needs to happen along the way.
• Retraining. A new platform means retraining your whole team on a new system. That can take weeks, even for people who were excited about the change.

So how do you pick the right vendor?

Brokers know how to evaluate vendors on security, pricing, and fit. What they don’t know as much about (yet) is how to apply that same scrutiny to AI features.

And finding software that embeds AI into workflows in an intuitive way is an operational decision worth getting right. Here’s how to do it:

1. Be wary of tools that frame “AI-powered” as a feature

At this point, AI-powered features are table stakes. And just appending “now with AI” doesn’t mean a feature is any more helpful or valuable.

So what you really need to know is not that a vendor is using AI, but exactly how the AI features they’ve built will:

• Save you time
• Reduce errors
• Eliminate manual handoffs
• Improve the quality of work you present to your clients

2. Ask specific questions about how AI works in benefits placement

A vendor that’s thoughtfully built AI into their product will be eager to show it to you, so don’t be afraid to get into the nitty-gritty. Ask:

• Can you walk me through how in-force plan and rate details get into the system? At this point, they shouldn’t be hand-entered.
• How are benefits and provisions normalized? AI can and should remove the mental load of your team having to interpret and re-key everything.
• Can outputs match our brand? If not, you and your team are stuck copy/pasting and reformatting to get proposals into a client-ready state.
• Where have you purposefully not included AI features? A vendor who can clearly articulate where they chose not to add AI has thought carefully about its role in benefits placement.
• What have other customers said about using your tool? You should get specific here. Which firms are using these AI features? What changed for them after? Where did they hit bumps along the way? Can I speak to some of them?

3. See if the vendor can benchmark accuracy

In benefits placement, every number matters—because it might affect what an employee pays, what coverage they get, and what compliance obligations the employer carries. A credible AI-forward vendor will be able to share:

• Guardrails. What the AI will and won’t do (and why), and where humans stay in the loop.
• Testing process. How they benchmark accuracy, how often, and against what data. Vendors that are serious about accuracy run tests often and update models accordingly.
• Audit trails. When AI extracts a number, populates a proposal, or detects a discrepancy, you need to be able to trace it later—for your own quality control, for client conversations, and for compliance reviews.
• Error handling. How errors are caught, who reviews and fixes them, and how the system learns from its mistakes.

4. Get a hold of their product roadmap

Check whether forthcoming features connect directly to broker workflows (AI-extracted census normalization) or read more like generic automation that could apply to any SaaS tool (“smarter notifications”).

You can also do some due diligence, scanning LinkedIn and reading product announcements to see if the company:

• Has dedicated AI teams
• Ships AI features on a regular basis
• Includes upcoming release dates versus vague “coming soon”s

Seize this opportunity

Clients want your expertise, risk management advice, and creative approach to benefits planning. But there’s little to no time left to give it if you’re buried in manual work.

When AI is woven into your core operations—and you can trust it—you can knock client experience out of the park.

Firms using ThreeFlow’s AI capabilities save more than 7 hours per RFP and free up nearly half their workday, giving them the space they need to do the higher-value work that sets their services apart. See the product tours.