Insurance

Choosing an AI partner for insurance

Choosing an AI partner is not choosing a technology. It is choosing someone who will be inside your business, touching your data, and affecting your decisions. That deserves more scrutiny than most boards give it.

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

Every AI vendor sounds the same. They all promise better decisions, lower costs, and faster results. The difference is what they deliver, how they deliver it, and what happens when it goes wrong. In insurance, the choice of partner matters more than the choice of technology.

This guide explains what to look for in an AI partner, what to avoid, and how to make a choice that does not cost you twice.

What to look for

The right partner is not the one with the best technology. It is the one that understands your business, your regulators, and your constraints.

Regulatory understanding. The partner must understand what the JFSC, the GFSC, or the EU AI Act requires. If they do not know what the regulators expect, they are not ready to work in insurance. Ask them. If the answer is vague, move on.

Data discipline. The partner must understand that data is an asset to be governed. Ask them how they handle your data, where it lives, who sees it, and how it is protected.

Honesty about limitations. The best partners tell you what the technology cannot do. If a vendor tells you AI can do everything, they are selling you something you do not need.

A clear path to value. The partner should show you, in plain English, how the technology creates value for your business. What problem it solves, what it costs, and what it returns.

"Ninety percent of companies have launched some flavor of digital transformation, and only a third of the expected revenue benefits, on average, have been realized."

Source: McKinsey, Rewired to Outcompete

Most transformations failed. The technology was not the problem. The partner was.

What to avoid

Some red flags are easy to spot.

Avoid the vendor who cannot explain their own system. If they cannot explain how it makes decisions in plain English, they cannot help you explain it to a regulator. That is a compliance problem waiting to happen.

Avoid the vendor who promises everything. AI is good at some things and bad at others. A vendor who promises everything does not understand the technology.

Avoid the vendor who does not ask about your data. AI is only as good as the data it uses. If the data is not ready, the technology will not work.

Avoid the vendor who does not mention governance. If governance is not in the conversation from the beginning, it will not be in the project. And when the regulator asks, you will be alone.

"21% of organisations have no AI governance at all, and governance and risk is the fastest growing barrier to adoption."

Source: Deloitte, State of AI in the Enterprise

Governance is the fastest growing barrier because it was not in the conversation from the start.

The questions to ask

Before signing anything, ask these questions.

What problem are you solving? Not what technology you are selling, but what problem you are solving. If the answer is vague, the project is not ready.

What data do you need? Where does it come from, how clean is it, and what happens if it is wrong? If the vendor does not ask these questions, they are not ready.

What happens when it goes wrong? Not if. When. What is the process for catching errors, correcting them, and preventing them?

Who owns the data? Not the vendor. You. If the contract does not make that clear, you are giving away something you cannot afford to lose.

What does success look like? What metrics, what timeline, what baseline? If the vendor cannot answer these questions, the project is not ready.

The cost of choosing wrong

Choosing the wrong partner costs more than the contract. It costs the time your team spends, the data you share, and the opportunity cost of a project that does not deliver.

In my opinion, the most common mistake is choosing on technology rather than on fit. The right partner with the right fit will deliver more value with less risk.

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 they need, and how to choose the right partner for the job.

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 sign. 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

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.

Get in touch

When you are ready to talk AI, call Fuzzelogic Solutions and ask for Zak.

www.FuzzelogicSolutions.com | info@FuzzelogicSolutions.com | +44 (0)1624 618950