Boldly Going Beyond Manual Credit Reporting

There is a saying that if you want a repetitive job done efficiently, give it to a lazy person. They will find an easier way to do it. When we looked at cash flow based lending, one workflow really stood out to me. Lenders need to analyze borrowers regularly, often quarterly and sometimes monthly. Yet many teams still repeat the same cycle every period: gather files, chase spreadsheets over email, compute metrics and covenants, assemble the report, and then start the written analysis from scratch. Doing that month after month for years seemed a little nuts.

That is exactly the problem CIQ is built to solve.CIQ handles the heavy lifting upfront. We take borrower data directly from accounting systems, normalize it, compute metrics and covenants, and make that information ready for lenders to use. Instead of spending hours preparing to analyze, teams can move faster into the part that actually matters: understanding performance, spotting risk, and deciding where to focus.

The report should not be the hard part

With CIQ’s new credit reports, lenders can create a repeatable report built around how they actually review a borrower. Users can add widgets onto the page, including AI summaries, free Text blocks, loan details, forecasted and historical loan payment information, KPI tables and charts, financial covenants, EBITDA adjustments and standard financial statements.

In short, any information available in CIQ can be used to build the report. Teams are not forced into a rigid template. They can configure reports based on the borrower, the loan, and the type of review they need to perform. Because the report can be reused from the previous month or quarter, recurring reporting becomes much easier. Analysts do not need to rebuild the same package every cycle. They can start with the structure they already know works, focus on what changed, and evolve it as needed.

AI should help with the analysis too

Even after the data is ready and the report is assembled, there is still the analysis itself. Growing up on Star Trek, the idea always seemed obvious. Geordi La Forge did not spend his time exporting CSV files and formatting spreadsheets before asking the computer for help. He just told it to run the analysis. Why should monitoring cash flow based loans work any differently?

CIQ’s AI Summary widget (see my last blog for more info on that) gives analysts a major head start with a library of 16 AI-driven analyses. These range from reviewing adjustments and their impact on covenants, to deep dives on balance sheet trends, to KPI analysis for margins and important ratios. CIQ can also generate a broader credit-report-style analysis that pulls from the full borrower picture.

That means analysts do not have to cold-start their writing every time. They can begin with a strong first draft, then edit it, refine it, and add their own judgment.

Why this matters

Custom Reports help lenders in three important ways.

• First, they cut out busy work by reducing the manual process of gathering data and piecing together reports from emailed files and spreadsheets.
• Second, they make recurring reporting far more efficient. Analysts can quickly produce monthly reporting without rebuilding everything from scratch.
• Third, they give analysts an AI-powered first draft that helps surface important issues faster and focus attention where it matters most.

The result is straightforward. Analysts can cover more borrowers and do a better job on each one because they can spend more time on the high-value parts of credit work. Less manual work, better analysis, and more consistent monitoring feels like a good way for lender portfolios to live long and prosper.

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