Insurance

AI costs and ROI for insurers

AI costs are not the headline number. The real cost is what you spend on top of the headline number, and the returns you were promised but never measured.

By Zakir Hoosen, Director, Fuzzelogic Solutions. Board-level guidance in plain English.

Every AI proposal comes with a number. A licence fee, a project cost, a consulting bill. That number is never the real cost. The real cost is the data preparation, the integration, the training, and the maintenance. Most insurance boards see the sticker price and approve the project. The real cost arrives later.

This guide explains what AI actually costs an insurance business, where the hidden costs hide, and how to ask the right questions.

The cost you see

The cost you see is the vendor quote. It might be a SaaS licence, a project fee, or a build cost. It is the number that goes in the board paper. It is also the smallest number in the picture.

Vendor costs are easy to measure. They come on an invoice. They are budgeted for, approved, and tracked. This is not the problem. The problem is everything else.

The costs you do not see

The costs you do not see are the ones that turn a good project into a bad investment.

Data preparation. AI needs clean, reachable, trustworthy data. Getting data to that state is expensive. In insurance, it is often the largest single cost.

Integration. AI does not sit on its own. It has to connect to your policy system, your claims system, your customer database, your reporting. Each connection costs time and money.

Training. People have to learn to work with the new system. In insurance, where staff handle sensitive decisions, training is not optional.

Ongoing maintenance. AI systems need monitoring, updating, and fixing when the business changes. If the proposal does not include a maintenance cost, it is not a complete proposal.

Rushing past the costs is the most common way boards waste money on AI.

What returns look like

Returns are harder to measure than costs. That does not mean you should not measure them.

The returns from AI in insurance come in three forms. Cost reduction. Revenue growth. Risk reduction. Each can be measured. Each should be measured before the project starts, not after.

Two thirds of transformations did not deliver. The returns were promised but never measured against a baseline. If you do not know where you started, you cannot prove where you arrived.

The rule of thumb

Fuzzelogic uses a rule that comes from BCG: 10-20-70. Ten percent of the investment goes to the technology. Twenty percent goes to the data and integration. Seventy percent goes to the people and the process change.

That seventy percent is the cost most proposals ignore. It is the cost of changing how people work, training them to trust the system, and managing the transition. In insurance, where processes are regulated and people are trained to make careful decisions, this is the largest and most important cost.

If a proposal does not account for the seventy percent, it is not a plan. It is a wish.

How to ask the right questions

Before approving any AI investment, ask four questions. What is the total cost? What is the baseline? What is the payback period? Who measures the return? If the vendor cannot answer these, they do not know their own project.

Most organisations spent the money and did not see the return. The ones that did measured it from the start.

Where the spend goes wrong

In my opinion, the most common mistake is spending on the technology before understanding the problem. Boards approve a tool and then look for a problem to solve with it. That is backwards. Start with the problem, understand the cost of the problem, and then decide whether AI is the right solution.

The second mistake is treating AI as a one-off cost. It is not. It is an ongoing cost, like any other business process. If you cannot afford to maintain it, you cannot afford to build it.

What Fuzzelogic does

Fuzzelogic works with regulated financial institutions, including nine across banking, insurance, and healthcare. We do not sell technology. We help boards understand what they already have, what it costs, and whether the returns justify the investment.

Our AI-ready framework gives boards a plain English way to assess any AI use against five tests. If it fails one, you know before you spend. If it passes all five, you know you can govern it.

You already have AI in your business. You just do not know where. We find it, classify it, and tell you what to do about it.

Start with the assessment. Two to four weeks, fixed price, and you own the verdict and the roadmap whether or not we build any of it. When you are ready to talk AI, call Fuzzelogic Solutions and ask for Zak. www.FuzzelogicSolutions.com | info@FuzzelogicSolutions.com | +44 (0)1624 618950