And i’m tightening our covenant monitoring for a 120-loan CRE portfolio and need a reliable way to ingest borrower financials and flag DSCR/LTV breaches without hand-keying… Have you had better results with off-the-shelf platforms (e.g., Abrigo) or an Excel/Power Query build with automated 1.20x DSCR alerts and date-stamped ticklers? Not individual advice — just what’s lowered exception rates for you, and I’ll do my own research.
Excel/Power Query with a SharePoint drop folder; auto ‘1.20x’ DSCR flags — cheaper than Abrigo — Power Query documentation - Power Query | Microsoft Learn Need LTV too?
We cut the hand-keying by standardizing borrower upload templates and using Azure Document Intelligence to extract PDFs into a table, then a simple flow stamps the date and flags any DSCR<1.20x or LTV over limits and pings a tickler (What Is Azure Document Intelligence in Foundry Tools? - Foundry Tools | Microsoft Learn). If Abrigo’s mapping felt heavy for you too, would you be open to training a tiny custom model on your 3–4 common formats?
And for a 120-loan CRE set, we got the least friction by using Airtable for intake and formulas, with Google Cloud Document AI to pull totals from PDFs; formulas compute DSCR/LTV and an automation fires when DSCR < 1.20x and drops a dated note/tickler. It’s cheaper than full-on platforms, but you’ll want a standard upload template so Doc AI doesn’t wander. Quick how-to on the automation bit: Getting started with Airtable automations.