Banking

Choosing an AI partner for banking

Choosing an AI partner is not like choosing a software vendor. You are not buying a product. You are entering a relationship that will touch your data, your customers, and your regulatory obligations. The wrong partner costs more than the wrong tool.

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

Most AI vendor pitches are the same. The technology is clever. The demo is impressive. The promises are big. The question a banking board should be asking is not whether the technology works. It is whether the vendor understands banking, understands regulation, and will still be there in three years when the project needs them.

This guide covers what to look for in an AI partner for banking, what to avoid, and the questions a board should ask before signing.

What to look for

Three things matter more than the technology.

First, regulated experience. A vendor that has worked with regulated financial institutions understands the constraints. They understand that speed is not everything. They understand that explainability matters. They understand that the audit trail is not optional. If the vendor has not worked in a regulated environment, they will learn on your time and your money.

Second, honesty about limitations. A good AI partner will tell you when AI is not the right answer. They will tell you when the data is not ready, when the process is not suitable, and when the cost outweighs the benefit. A vendor that says yes to everything is a vendor that will build anything, whether it works or not.

Third, a fixed-price assessment. Before any project begins, the vendor should be willing to assess whether the work is worth doing. Two to four weeks. Fixed price. You own the verdict. If the vendor will not do that, they are not confident in their own answer.

Two thirds of AI transformations fail. The vendor selection is where the failure starts. Choose wrong and you are locked in for the duration.

What to avoid

Three red flags.

First, the vendor that cannot name their regulated clients. If they have worked with banks, they will say so. If they cannot name a single regulated institution, they have not.

Second, the vendor that promises results before understanding your data. AI outcomes depend on data quality. No vendor can promise a result without seeing the data. If they promise before they look, they are selling, not advising.

Third, the vendor that does not mention governance. If the pitch does not include governance, compliance, and risk, the vendor does not understand banking. A tool without governance is a liability, not an asset.

If the vendor does not bring up governance, you will have to. That tells you something about their experience.

Questions a banking board should ask

Five questions to ask any AI vendor before signing.

First, how many regulated financial institutions have you worked with? The answer tells you whether they understand the constraints. If the answer is zero, the answer is no.

Second, what is your assessment process? A good vendor will have a structured assessment, two to four weeks, fixed price, that tells you whether the project is worth doing. If they do not have one, they are not confident in their own answer.

Third, who owns the data? The answer should be you. If the vendor wants to store your data on their systems, ask why. If the vendor wants to use your data to train their models, walk away.

Fourth, what happens when the project ends? Can you extract your data? Can you continue without them? If the answer is no, you are locked in before you have started.

Fifth, what is the honest answer? If the vendor says AI is not the right solution for a process, do they say so? A vendor that tells you not to build is a vendor you can trust when they say yes.

Boards are rushing the selection. The result is a vendor that delivers a tool, not a result.

The honest version

Fuzzelogic is an Isle of Man firm that has spent nineteen years modernising banking, insurance, healthcare, retail, manufacturing, and government platforms. We have worked with nine regulated financial institutions. We tell boards what most consultants will not: the honest answer is sometimes that AI should not touch a process at all, and when that is the case, we put it in writing.

Your systems were built for a world before AI. Most can get there. We tell you which ones cannot.

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

Read next: AI readiness assessment for banks and AI governance for banking boards.