Today we’re launching Accend 2.0 — our most ambitious release yet, designed to help financial institutions modernize how they collect, spread, and analyze financial data for underwriting.
Our goal is simple: make underwriting radically faster, more accurate, and effortless for credit teams at banks and fintechs.
🧨 The Problem
Underwriting commercial credit still relies on slow, manual workflows — especially when it comes to handling borrower financials.
Credit teams spend days:
This workflow is not just inefficient — it introduces real risk. Missed red flags, errors in classification, or simply moving too slowly can result in bad loans or lost deals.
🧑💻 Who Faces This Problem?
This problem is felt most acutely by:
💡 Our Solution: Accend 2.0
With Accend 2.0, lenders get a single platform to do the following:
Collecting financials from borrowers is where friction often begins. That’s why we’re launching Accend Link — a borrower-facing portal that streamlines data collection from day one.
Borrowers can:
🧘♂️ No more chasing documents.
🔄 No more back-and-forth.
📁 Just clean, accurate data — in the format you need.
Once the data is in, Accend gets to work.
📋 No spreadsheets. No version control nightmares. Just clarity.
This is where Accend 2.0 truly shines.
We automatically generate credit memos that combine:
It's like having your smartest analyst prepare every memo — in minutes, not days.
Your team gets faster turnaround times and deeper insights — without lifting a finger.
We’re also launching Case Signals, a feature that catches issues before they become problems.
With over a dozen automated checks — including:
Accend flags anomalies the moment they appear — so your team can act fast and stay ahead of credit risk.
📞 Ready to Modernize Your Underwriting Stack?
If you’re a lender, bank, or fintech working on credit workflows — we’d love to show you how Accend 2.0 can supercharge your underwriting. See it in action live HERE.
Or reach out to me directly at pranjal@withaccend.com to discuss anything AI x Credit Underwriting. Happy to help.