In most software, 95% accuracy is a success metric.

In most software, 95% accuracy is a success metric.

In financial services, the 5% that’s wrong is a compliance exposure.

A balance extracted incorrectly doesn’t announce itself. An account number mapped to the wrong record moves through the workflow silently. A beneficiary designation that doesn’t match the estate plan clears the onboarding checklist — and surfaces at claim time, when fixing it costs far more than catching it would have.

Ops teams can’t spot-check every output. They process too much volume, under too much time pressure, with too few staff. Which means the accuracy standard for any tool handling financial data isn’t “good enough for most cases.” It’s “reliable enough that we don’t have to check.”

That’s a hard bar. Most general-purpose AI tools aren’t built to clear it — not because they lack capability, but because they were designed for environments where an error means a retry, not a compliance incident.

Wealth management is not that environment. The cost of a wrong extraction isn’t a bad user experience. It’s a liability that shows up in audit, in client disputes, or in a conversation no one wanted to have.