The loan value you have in flight right now — and where the clock is running out — assembled live by an AI asking Outcome Owl in plain language, every figure cited and its limits disclosed.
One plain-language question — “what's my open loan exposure, and what should I worry about?” — resolved in seconds: $3.43B of loan value in the origination pipeline across 5,792 active applications. And the clock is not kind — $927.7M of it is already past its expected close.
$927.7M across 1,576 loans is already past its expected close. Each loan is judged against its own deadline — business start plus its configured ~60-day duration — so “overdue” is a real per-loan clock, not a blanket age cutoff.
No number appears without the tool, filter, and population that produced it — a loan opens straight to its timeline.
An over-broad query is refused with the exact filter to add — it never silently runs to a timeout or returns a partial total dressed as complete.
Here, 5,773 of 5,792 files price out — the surface says “near-complete” rather than implying it. Elsewhere it will say 46%. It reports the number, whatever it is.
“Overdue” is each loan's own deadline — business start plus its configured duration — not a blanket age cutoff. Selection is near-real-time; amounts are as of the daily refresh.
Each loan counted once at its recorded amount; any threshold you name is a parameter, not a hard-coded report. No false precision.
It reports the exposure, the overdue count, the stalled loan; it never calls a file “bad” or tells anyone to act. That judgment — and the action — stay with you.
Every figure above came from a read-only connection and a plain-language question — no integration project, no data leaving your control. The same works on your originations, your reserves, your book.
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