INSIGHTS · EXPLAINERS
Explainers.
Plain-English explainers on the concepts behind loan decisioning: scorecards, gates, reason codes, audit trails.
Credit Card Underwriting, Explained
How credit card underwriting works: the inputs issuers weigh, the structure of an instant decision, line assignment, and how policy gets enforced at scale.
Kira· 12 min readRead →Nanonets Pricing in 2026: Credits, Blocks, and the Real Total
What Nanonets actually costs in 2026: the credits-based model, per-run block pricing, the free tier and volume discounts, what drives the real total, and who the model fits.
Kira· 9 min readRead →Rossum Pricing in 2026: What It Really Costs
What Rossum actually costs in 2026: the published Starter tier, the quote-only plans above it, the add-ons and services that drive the real total, and who the spend makes sense for.
Kira· 9 min readRead →Ocrolus Pricing: Per-Page Costs and Real Contract Sizes in 2026
Ocrolus publishes no price list. We collect what's credibly reported in 2026: per-page rates, setup fees, contract benchmarks, what drives the total, and what to ask sales.
Kira· 8 minRead →ABBYY Pricing: Vantage and FlexiCapture Costs Explained (2026)
ABBYY publishes no pricing for Vantage or FlexiCapture. We collect what's credibly reported in 2026: per-page rates, contract benchmarks, services costs, and what to ask sales.
Kira· 9 minRead →Mortgage Automation: What Actually Gets Automated, Layer by Layer
What mortgage automation actually covers: the five layers from application to post-close, why documents are the bottleneck, and how the vendor landscape maps.
Kira· 13 min readRead →TurnKey Lender Pricing: What Lenders Actually Pay in 2026
TurnKey Lender is quote-only. We map how the pricing model works, what reviewers report, what drives the total for a lender, and the questions to ask before you sign.
Kira· 8 minRead →Provenir Pricing: What It Actually Costs in 2026
Provenir publishes no pricing. We pull together what's credibly reported in 2026: how the model works, what drives the real total, and the questions to ask before you sign.
Kira· 8 minRead →Decision Engine vs Rules Engine: What's the Difference?
Decision engine vs rules engine, explained: a rules engine evaluates if/then logic, while a decision engine orchestrates data sourcing, document intelligence, scores, and the final decision. In lending, that gap is everything.
Kira· 10 min readRead →What Is a Decisioning Engine? Definition & How It Works
A decisioning engine is the system that executes your credit policy on every loan application. Fed by document intelligence, it turns rules, scores, and signals into a consistent approve, refer, or decline.
Kira· 9 min readRead →No-Code Credit Policy Builder: What Credit Teams Actually Need
Editing credit policy was never the hard part. Enforcement is. What people searching for a no-code credit policy builder actually need, and how Floowed's Decisioning Engine delivers it.
Kira· 8 min readRead →What Is a Credit Decisioning Platform? The Layer Behind Loan Decisions
A credit decisioning platform turns applications, documents, and scores into approve, refer, or decline outcomes. Definition, components, and how to evaluate.
Kira· 8 min readRead →Credit Decisioning vs Credit Scoring: What's the Difference (and Why It Matters)
Credit scoring tells you the risk number. Credit decisioning tells you what to do about it. Here's how they fit together, and why lenders need both.
Kira· 9 min readRead →Why Frontier AI Can't Read Bank Statements: A Field Guide for Lenders
Why GPT-4o, Claude, and Gemini fail at bank statement extraction in production, and what deterministic, auditable document intelligence and a Decisioning Engine deliver for lenders.
Kira· 14 min readRead →What Happens When Your AI Agent Receives a Document? The Missing Layer Nobody Talks About
AI agents can browse, code, and call APIs. Document handling is still the gap. This piece explains the missing layer between raw document extraction and reliable agent action for lenders, and what it takes to build it.
Kira· 7 min readRead →The No-Code Wall: What Happens When Your Automation Hits an Unstructured Document
No-code tools are great until a document shows up. This piece covers why documents break general automation platforms, the workarounds that fail at scale, and what the right architecture looks like.
Kira· 7 min readRead →n8n Is Great for Workflow Orchestration. Until a Document Shows Up.
n8n is solid for orchestration, but it was not built for document processing. This piece covers where the gap shows up on real loan documents and how to pair it with a platform that reads, analyses, and decisions: document intelligence plus a Decisioning Engine.
Kira· 6 min readRead →We Tested ChatGPT, Claude, and Gemini on Real Financial Documents. Here's What We Found.
We ran a practical test of GPT-4o, Claude 3.5 Sonnet, and Gemini 1.5 Pro against 120 real financial documents. The headline accuracy numbers are similar. The distribution of errors tells a different story for any lender routing this data into a credit decision.
Kira· 9 min readRead →The Business Team's Alternative to Vibe Coding: Building Document Workflows Without a Developer
Vibe coding and general no-code tools fall short for document automation. This guide explains what citizen developer platforms provide, where tools like Zapier break down, and how operations teams can own document workflows without engineering support.
Kira· 7 min readRead →Why Your AI Document Workflows Still Need Human Review Gates
Fully automated loan document pipelines fail on edge cases. This guide explains where to place human review gates, how to set confidence thresholds, and why human-in-the-loop review beats full automation when you read, analyse, and decision real loan documents.
Kira· 15 min readRead →Invoice OCR: How to Eliminate Manual Data Entry and Scale Your Accounts Payable
Invoice OCR eliminates manual data entry from accounts payable by automatically extracting vendor names, amounts, and line items from any invoice format. This guide covers how the technology works, implementation best practices, and ROI metrics showing 85-95% cost reduction per invoice.
Kira· 15 min readRead →Data Parsing: How Modern Automation Transforms Unstructured Documents
Data parsing turns unstructured loan documents into decision-ready data. Floowed reads and analyses any-quality paperwork, then runs your credit policy on every application.
Kira· 16 min readRead →Document Intelligence vs OCR: What's the Difference? (2026 Guide)
Document intelligence vs OCR: OCR reads text, document intelligence reads and analyses it into decision-ready data. The definitive 2026 guide to the difference, with examples and vendor landscape.
Kira· 11 min readRead →Document Intelligence vs. Configurable Workflows: Which Drives Real Business Value?
Extraction is only step one. See how Document Intelligence reads and analyses any loan document, and how the Decisioning Engine runs your credit policy on the result, every time.
Kira· 9 min readRead →Run a real loan through it.
See the whole decision: every gate, every reason, on record.