Small Business Lending Redefined: Why WACIF and Stratyfy Are Focused on Trust

What Are We Still Missing to Make Agentic Commerce a Reality?

How to Design Trustworthy Agents for Financial Services

Building Beyond the Hype: Top Lessons from 10 Years at Stratyfy 

Automate with Confidence: How to Win in SMB Lending

The Global AI Race: Why Responsible AI is the Key to Our Future

The Hidden Costs of Credit Memos

Stop Trying to Buy a Tesla with a Horse-and-Buggy Manual

GDS Link and Stratyfy: Smarter, Fairer Credit Decisions with AI

How Much Data Do Lenders Actually Need?

Agentic Commerce Fraud: How Institutions are Adapting

Agentic Commerce 101: What Financial Institutions Need to Know

8 Questions Every Financial Institution Must Ask AI Vendors

What is Automated Decisioning and How Does it Work?

Is the Credit Score Dead? The Future of Credit Risk Assessment

Why the Speed of Underwriting Decisions Matters

When Models Built on Expert Knowledge are Effective

The Business Case for Fairness in Financial Services

Data Management and Its Benefits for Small and Medium-Sized Banks

Fintech and AI: Past Lessons, Present Impact, and Future Opportunities

Reject Inference: Responsibly Growing Your Portfolio with Advanced AI

Bad Data, Poor Decisions, Even Worse Consequences: Why Transparency is Critical to Lending Automation

Equity Means Action: A Conversation with Stratyfy’s Female Leaders

Responsible AI is Here to Stay

Investing in Change: Reflections on OFN

When Running a Startup, There is No Such Thing as a “Perfect”​ Time

Humans-in-the-Loop Series: Q+A with Co-Founder & Chief Data Scientist Dmitry Lesnik

Putting Mission First: Why I Joined Stratyfy

Fintech Nexus USA 2022: The Stratyfy Recap

Don’t Tell My Mom I Wrote About Her: Reflecting on Women’s History Month

What We Don’t Know Matters: Using Reject Inference to Reinforce Credit Models

Seat Belts, Startups, and Why Bias in AI is a Human Problem

Building an AI Future We Can Be Grateful For

How Lending Technology Could Predict Your Case of the Flu this Year

AI and the Algorithmic Accountability Act: 3 Things You Can do Right Now to Avoid Costly Mistakes

Transparency Matters When Dealing with Data