You Know Your Members.
Your Systems Don’t.

No. Nothing we build replaces the core or sits in front of it. We read from the systems already in place and build AI around them. Replacing a core is a multi-year program with its own risk profile, and it is not what recovers hours in the back office this year at your credit union. The GCC's AI workflows, however, do.

Vendor AI is built for the average institution across the whole client base, so it arrives as a general assistant rather than a fix for the task eating a specific team's week. It is also governed by the vendor. We build for the specific work at one credit union, in your environment, under your AI policy. The two are not mutually exclusive, and a board-approved AI policy is what lets you evaluate vendor AI on purpose instead of inheriting it by default.

Probably not directly. E-23 binds federally regulated institutions, and most Canadian credit unions are provincially regulated. It still matters, because provincial regulators and boards converge on federal expectations, and because the question underneath it, whether you can produce an inventory of your models and name who owns each one, is one your own board will ask regardless. Confirm your obligations with your regulator. We get credit unions ready for this E-23 question.

For most credit unions: we read your existing policy set, run a working session on the decisions only you can make, and put a first draft of your new AI policy in front of whichever committee sees board material first. Policy comes first because the board approving how member data gets used is what unblocks everything after it. If your board has already approved one, month one starts with staff intake on where the back office is losing hours. Simultaneously, we start looking for revenue-adding activities for your credit union using The GCC's big data mining methodologies.

Everything built stays with you and is designed for your staff to operate. We build alongside the team that will own it, inside the Microsoft or Google environment you already administer, so nothing depends on an outside party to keep running.

The General Consulting Company works exclusively with Canadian credit unions, embedding with the team to take an institution from a board-approved AI policy through to production systems in Finance, Compliance, Wealth, and Operations. It is run by Nelson Lee, an AI engineer who built systems at Shopify used by millions of merchants, with a roster of top engineering talent from the University of Toronto and the University of Waterloo. Current engagements are with Ontario credit unions, including BCU Financial, HMECU, and more.