Straight-through reporting means regulatory data flows from a firm's systems to the supervisor without manual re-keying, and is validated automatically on the way. It sounds like plumbing. For supervisors, it changes where the work happens.
What changes for supervisors
Today, in many authorities, a return arrives as a spreadsheet attached to an email. An analyst opens it, checks it by eye, emails the firm about errors, waits, and re-keys the corrected numbers. Straight-through reporting moves those checks to the moment of submission. The firm sees the problem and fixes it before the return is accepted, and the supervisor receives data that is already complete and consistent.
What it takes
Straight-through reporting does not require every firm to change systems overnight. It needs a submission channel that validates as data lands, a structured data model behind it, rules the supervisor owns and can change, and plain-language feedback so firms can fix problems themselves. Excel templates can stay during a transition, as long as each one is validated and stored as structured data from the first filing.
Why it matters for AI
AI is most useful on clean, structured data. When validation happens at submission, AI can spend its effort reading what matters, such as the narrative and attachments around a return, rather than cleaning up the numbers.
- 1Pick one high-volume return and move it to a validated submission portal.
- 2Write its validation rules as versioned, auditable logic your team owns.
- 3Give firms plain-language feedback at the point of failure.
- 4Store every accepted return as structured data, not a file.
- 5Add AI review of the narrative and attachments once the numbers are clean.
See how regulatory data collection works on the Line4 platform, orscore your readiness in three minutes.