Embracing AI to Empower Credit Underwriters by Perfios

Credit underwriting has always been the backbone of lending. Yet, it remains one of the most time-intensive and subjective processes in financial services. From sifting through hundreds of pages of bank statements to reconciling GST returns with financial statements, underwriters often spend days piecing together information before arriving at a decision.

This is exactly where artificial intelligence is reshaping the landscape. By automating routine tasks, cross-validating data at scale, and assisting with risk interpretation, AI is not replacing underwriters—it is empowering them to make faster, sharper, and more confident credit decisions. Perfios, a pioneer in this space, is demonstrating how AI can fundamentally transform underwriting in both consumer and high-value loan segments.

For decades, underwriters have faced four recurring challenges:

Document and data collection – Gathering, verifying, and organizing documents like bank statements, GST filings, ITRs, and financials often eats up 10% of an underwriter’s time. Perfios has already automated this journey with seamless integrations (upload, e-pdf, account aggregator, OTP fetch) and checklist validation.
Data extraction and analysis – Nearly 30% of underwriting effort goes into manually extracting data points from documents. Perfios digitizes and analyzes financial statements, credit bureau reports, and GST records in real-time, drastically reducing this burden.
Cross-analysis and memo creation – A credit decision cannot be based on a single document. Underwriters spend another 30–35% of their time reconciling data across multiple sources and preparing credit memos. Perfios enables cross-matching and automated memo generation, saving days of effort.
Interpretation and decision-making – The most complex and subjective step, where underwriters analyze millions of data points, identify trends, and assess risk. This is where decisions diverge—two underwriters looking at the same case may reach different conclusions, often after several days of analysis.

These inefficiencies not only delay disbursements but also make lending riskier, particularly for SMEs where timely access to capital is critical.

Perfios has introduced an AI-powered assistant for credit underwriting—a tool designed to accelerate the interpretation phase without taking away human judgment.

Here’s how it works:

The AI agent is trained like an underwriter, not just on data points.
It ingests all relevant documents—bank statements, GST, ITRs, credit bureau data, litigation checks, and more—and creates a consolidated data lake for each application.
Underwriters can then converse with the AI: ask questions, request detailed risk analyses, or test financial projections.
Guardrails ensure the AI only works with validated application data, eliminating hallucinations and ensuring reliability.

For example:

Ask, “Is the current profit after tax sufficient to cover incremental financial costs?” and the AI instantly analyzes the applicant’s financials.
Request, “Do a projection if a new manufacturing unit increases capacity by 35–40%,” and the AI generates scenario-based forecasts within seconds.

What once took 2–3 days of manual effort now happens in minutes, with complete audit trails for compliance and post-loan monitoring.

The impact of such AI-driven underwriting is profound:

Speed without shortcuts – High-value loans that once required weeks of back-and-forth can move forward in hours while maintaining rigorous scrutiny.
Consistency in decision-making – Biases and subjectivity are reduced as AI highlights risk factors uniformly across cases.
Enhanced resilience – With transparent audit logs of every AI–underwriter interaction, institutions gain traceability for future risk reviews.
Empowered underwriters – Instead of being buried in manual number-crunching, underwriters can focus on judgment, strategy, and nuanced decision-making.

This isn’t about replacing people—it’s about enabling smarter people with smarter tools.

AI in underwriting is still evolving, but its trajectory is clear. Over time, we can expect:

Policy-driven AI guidance, where institution-specific risk parameters are built into the assistant.
Proactive risk alerts, where the system identifies anomalies before underwriters even ask.
Cross-industry integrations, where underwriting incorporates external data (e.g., supply chain health, market conditions) for even more holistic assessments.

As lending volumes grow and risk complexity deepens, AI will be the differentiator between institutions that scale sustainably and those that fall behind.

Perfios’ vision is not just about faster processing. It’s about reimagining credit underwriting as a partnership between human expertise and machine intelligence. By handling the heavy lifting of data collection, analysis, and projections, AI empowers underwriters to do what they do best apply judgment, experience, and foresight to lending decisions.

In a world where SMEs need capital faster than ever, and where risk environments are dynamic, AI-powered underwriting could be the key to building a lending ecosystem that is faster, fairer, and future-ready.