Two reviews, two different questions
Every piece goes through two reviews that ask different things. The subject-matter review asks whether each statement is true, current and sourced. Is the single-audit threshold given as $1,000,000 in federal expenditures for fiscal years beginning on or after 1 October 2024, rather than the old $750,000? Is the scam described one that regulators have actually warned about? The plain-language edit asks whether the intended reader will understand the piece on first reading, which means short sentences, one idea per paragraph and terms defined where they first appear. Combining the two in one pass tends to lose one of them, so we keep them apart.
Dated content stays honest
Financial content goes stale quietly. Thresholds rise, deadlines move and scam patterns change. Each piece we deliver carries a last-reviewed date, and every date-sensitive figure appears in the review register with its source and the date to check it again. When a fact changes, the register shows which pieces depend on it, so they can be updated or withdrawn rather than left to mislead.
Tools show their working
Interactive tools, such as a fraud-risk self-check or a budget calculator, are built with their logic written out and their sources cited, so a reviewer can check every rule. Each one states plainly that its result is general information, not advice. Our own free tools, including the Single Audit Threshold Checker, are built the same way.
Accessibility starts at the first draft
Accessibility is cheaper to build in than to retrofit. Course videos are scripted with captions in mind, charts come with a text description of what they show, and interactive tools work with a keyboard alone. We check every piece against WCAG 2.2 at level AA before delivery and list anything that falls short, with the fix, in the review register.
Education stays separate from promotion
When a fintech or bank publishes education, readers judge it partly by whether it seems to be selling them something. We write content that explains how things work and what to watch for, and we keep product claims out. Your compliance team approves anything that mentions your products. If you also want to train your own staff, see Training Programs. For an example of how we approach practical guidance, read our deepfake payment-verification protocol.
