Credit Analysis Automation Software
Let your AI agent handle time-consuming credit reviews, loan package prep, and risk reporting—so you can focus on client strategy and approvals.
As a credit analyst, you spend hours every week buried in Excel, digging through PDFs, and assembling reports for loan committees. Manually calculating ratios and pulling data from shared drives is tedious and error-prone. You deserve to spend your time making real credit decisions—not stuck in spreadsheets and emails.
An AI agent that automates credit risk reviews, loan summaries, and financial ratio calculations for credit analysts in banking and lending.
What this replaces
The hidden cost
What this is really costing you
In commercial banking and lending, credit analysts are overwhelmed by manual work—copying financials from emailed PDFs into Excel, calculating debt ratios, and formatting loan summaries for approval meetings. These repetitive tasks slow down the entire loan process and increase the risk of mistakes. Pulling data from QuickBooks files and entering it into credit memos eats up valuable hours every week. The constant admin work keeps you from focusing on complex deals and client relationships.
Time wasted
7 hrs/week
Every week, burned on work an AI agent handles in minutes.
Money lost
$14,000/year
In salary, missed revenue, and operational drag — annually.
If you keep ignoring it
If you keep relying on manual credit analysis, you risk delayed loan approvals, missed red flags in risk assessment, and frustrated clients who may take their business elsewhere. Errors in financial calculations can lead to compliance issues or costly lending mistakes.
Cost estimates derived from U.S. Bureau of Labor Statistics occupational wage data and O*NET task analysis.
Return on investment
The math speaks for itself
Today — without agent
7 hrs/week
of manual work
With your AI agent
1 hr/week
agent-handled
You save
$12,000/year
every year, reinvested into growing your business
Estimates based on U.S. Bureau of Labor Statistics median salary data and O*NET task importance ratings from worker surveys. Time savings assume 80% automation of eligible task components.
Jobs your agent handles
What this agent does for you
Complete jobs, handled end-to-end — so your team focuses on what matters.
Assessing a New Loan Applicant
You ask your agent to analyze a new applicant’s financial statements and summarize the credit risk for your review.
Preparing a Loan Committee Report
You ask your agent to compile a complete loan application package, including all analyses and recommendations.
Comparing Industry Peers
You ask your agent to compare a client’s liquidity and profitability to similar businesses in the same region.
Reviewing Delinquent Accounts
You ask your agent to scan customer files, identify overdue accounts, and recommend next steps for collections.
How to hire your agent
Connect your tools
Link your credit adjudication, risk analysis, and financial data management systems.
Tell your agent what you need
Example: 'Analyze this customer’s financials and prepare a risk summary for loan approval.'
Agent gets it done
You receive a detailed risk analysis report with key financial ratios, risk level, and approval recommendation.
You doing it vs. your agent doing it
Agent skill set
What this agent knows how to do
Automated Credit Risk Review
Pulls financial statements from uploaded PDFs or QuickBooks exports and generates a risk assessment with recommendations for your review.
Loan Package Assembly
Drafts loan summaries and approval documents using data from Excel and core banking systems, ready for committee meetings.
Financial Ratio Calculation
Calculates key ratios like DSCR, LTV, and current ratio using your templates and client data from Excel files.
Delinquency Monitoring
Scans payment records in your loan servicing system, flags overdue accounts, and suggests next steps for collections.
Peer Benchmarking
Compares your client's financial performance to industry benchmarks using uploaded data and public filings.
Custom Credit Reporting
Prepares tailored credit memos and risk reports based on your bank’s underwriting guidelines.
AI Agent FAQ
The agent applies your underwriting templates and cross-checks calculations against uploaded Excel files and QuickBooks exports. You always receive a draft for review before finalizing any report.
Yes, the agent connects to core banking platforms like FIS, Fiserv, and extracts data from Excel, PDF, and CSV files. API integration with LOS systems is also supported.
All data is encrypted in transit using TLS 1.3 and is never stored after processing. You control which files are uploaded, and nothing is shared outside your organization.
You can provide custom instructions for unique scenarios, such as multi-entity borrowers or special collateral. The agent adapts its analysis to your requirements.
The agent currently supports English-language documents and standard financial formats. Multi-language support and integration with additional LOS platforms are on the roadmap.
Automatable tasks
See how much your team could save with AI
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