Auto-CAM, part of CARMA Core
Auto-CAM: Automated Credit Appraisal Memo (CAM) Software for Lenders
Writing a credit appraisal memo is normally a 2-3 day manual task. Auto-CAM reads financial statements, GST returns, bank statements and bureau data simultaneously, cross-references them for consistency, and drafts a committee-ready CAM in under 10 minutes. Your analysts review it, your credit committee decides, and every step is on the record.
- To a committee-ready credit memo
- < 10 min
- To a committee-ready credit memo
- Typical manual CAM preparation
- 2-3 days
- Typical manual CAM preparation
- Automated GST checks feeding the memo
- 2,200+
- Automated GST checks feeding the memo
- Indian bank statement channels parsed
- 77+
- Indian bank statement channels parsed
CAM in credit
What a credit appraisal memo is, and why it slows lending
A Credit Appraisal Memo (CAM) is the document that turns a loan file into a credit decision. It sets out who the borrower is, what the numbers say, what the risks are and what the credit team recommends, so the sanctioning authority can approve, modify or decline the proposal on a documented basis. In most NBFCs and banks, no business loan is sanctioned without one.
The problem is how a CAM report for a loan gets written today. An analyst collects a bureau report, months of bank statements, GST returns and audited financials, spreads the numbers in Excel, reconciles them by eye, and then writes a narrative in a Word template. That is why a single memo routinely takes 2-3 days, and why its quality depends on which analyst picked up the file.
Where manual CAM preparation loses time
- Logging into separate bureau, GST and KYC portals and chasing documents over email
- Re-keying balance sheets and P&L statements into spreadsheets
- Reading bank statements line by line to tag income, EMIs and bounces
- Spotting mismatches between GST turnover, bank inflows and bureau exposure by eye
- Rewriting the same sections in a different format for each product or branch
- Back-and-forth with reviewers when a section is missing or a ratio does not tie
Inside the memo
What Auto-CAM generates
Auto-CAM builds every section a credit committee expects to see, populated from source data rather than typed by hand. Because it is multi-signal aware, contradictions between what GST filings, bank inflows and bureau records say about a borrower are called out inside the memo itself.
Borrower profile
Constitution, vintage, registered and operating addresses, group and associate concerns, and the facility being requested.
Promoter and KYC
Promoter and director details, CKYC and NSDL checks, MCA directorships and linkages, and any adverse findings against key persons.
Business and industry
What the borrower does, its customers and suppliers, its position in the industry and the sector-level risks that apply.
Financial analysis
Balance sheet and P&L auto-spread across years, with revenue, margin, working capital and net worth trends.
GST analysis
Turnover trends, filing regularity, buyer and supplier concentration, related-party signals and declared turnover versus bank inflows.
Banking and BSA
Inflows, outflows, average balances, bounces and existing EMIs from bank statement analysis.
Bureau
Repayment history, delinquencies, existing exposure across lenders and recent enquiries for the entity and its promoters.
CPV and FI findings
Contact point verification and field investigation outcomes from CPV verification, in the same memo as the financials.
Ratios: FOIR, DSCR, leverage
Repayment capacity through FOIR and DSCR, plus leverage and coverage ratios benchmarked to the industry.
Risks and mitigants
Red flags and cross-source contradictions, each paired with the mitigant, condition or covenant that addresses it.
Deviations
Policy checks passed, failed and deviated, with the approval level each deviation requires under your DOP matrix.
Recommendation and terms
Recommended exposure with a confidence rating, plus proposed tenor, security, pre- and post-disbursement conditions.
When the file has already been through CARMA Assess, its triangulated risk view across 13 core data engines feeds straight into the memo, so the risk rating, key signals and recommended exposure arrive structured for the committee rather than as raw data dumps.
Credit appraisal memo format
A sample CAM structure
An illustrative outline of a credit assessment memo for an NBFC business loan. It contains no borrower data. Each lender defines its own format under its credit policy, and Auto-CAM is configured to that template, including section order, ratio thresholds and the sign-off block.
| CAM section | What it contains |
|---|---|
| 1. Proposal summary | Facility type, amount requested, purpose, proposed tenor, existing relationship |
| 2. Borrower and promoter profile | Constitution, vintage, group concerns, promoter background, KYC status |
| 3. Business and industry | Nature of business, key customers and suppliers, sector outlook and risks |
| 4. Financial analysis | Multi-year spread of balance sheet and P&L, trend commentary |
| 5. GST and banking analysis | Turnover vs bank inflows, filing discipline, bounces, EMI burden |
| 6. Bureau and existing obligations | Entity and promoter bureau summary, current lenders and exposure |
| 7. Verification | CPV / field investigation outcome, site and residence findings |
| 8. Key ratios | FOIR, DSCR, leverage, current ratio, against policy thresholds |
| 9. Risks and mitigants | Flags raised, contradictions across sources, proposed mitigants |
| 10. Policy deviations | Deviation, policy norm, justification, approving authority |
| 11. Recommendation | Recommended limit, confidence rating, terms, conditions, covenants |
| 12. Approvals | Analyst, reviewer and committee sign-offs with comments and timestamps |
For a detailed comparison of tools that produce memos in this format, read our guide to the best CAM software in India.
Workflow
How Auto-CAM works, from data pull to committee
Credit memo automation is not just a document generator. It sits inside the underwriting flow of CARMA Core and its loan origination system, so the memo is built from the same data the rest of the file uses.
Step 1: Data pull
Bureau, GST, CKYC, NSDL and Account Aggregator pulls run in parallel, and uploaded financials and bank statements are parsed into one borrower record.
Step 2: Analysis
Financials are spread, bank and GST data analysed, and every source cross-referenced so contradictions are flagged rather than missed.
Step 3: Draft CAM
Auto-CAM assembles the memo in your template with ratios, policy checks, deviations and a confidence-rated recommendation, in under 10 minutes.
Step 4: Analyst review
The analyst reads the draft, edits the narrative, adds judgement and records reasons for any change before submitting.
Step 5: Committee
The file routes to the right approvers under your DOP matrix, who sanction, return with queries or decline, with every step logged.
The analysis step is where most of the time saving comes from. Instead of an analyst reconciling sources by hand, the platform checks GST turnover against bank inflows and bureau exposure on every file. For the wider context of each underwriting stage, see our guide to the credit underwriting process for NBFCs and the credit underwriting software overview.
Human in the loop
The analyst stays in control
Auto-CAM produces a draft, not a decision. Recommendations are confidence-rated rather than a black-box score, so the analyst can see why a file was flagged and decide what to do about it. Credit judgement remains a human responsibility.
Edit the draft
Analysts refine the narrative, add context from borrower meetings and site visits, and adjust sections before the memo moves forward.
Override with reasons
Where the analyst disagrees with a system flag or recommendation, the change is recorded together with the reason, so reviewers see both views.
Full audit trail
Every action, comment and approval is captured, so anyone reviewing the file later can see what the system proposed and what people changed.
This matters for model risk as much as for productivity. When overrides are visible and reasoned, the credit team can spot where policy and practice diverge, and tune rules in the Business Rule Engine instead of relying on informal exceptions.
Approvals
Credit committee and delegation of power workflow
Every lender sanctions loans through a hierarchy: an analyst recommends, a reviewer checks, and an approver or committee with the right authority signs off. That hierarchy is usually written into a Delegation of Powers (DOP) matrix based on ticket size, product, risk grade and deviations.
CARMA Core supports configurable DOP approval matrices and maker-checker rules, so once the analyst submits the CAM, it routes automatically to the approvers who are entitled to decide on that file.
- Routing based on amount, product and risk, as defined in your DOP matrix
- Deviations flagged in the memo and escalated to the authority that can approve them
- Maker-checker separation between the analyst who prepares and the approver who sanctions
- Committee members read the same memo, ratios and flags, not separate email attachments
- Queries, comments and return-for-clarification captured on the file
- Final decision, conditions and approver identity recorded with timestamps
Comparison
Manual CAM vs Auto-CAM
How preparing a credit appraisal memo changes when the underlying work is automated. For a broader look at the category, read automated credit underwriting software in India.
| Step | Manual CAM | Auto-CAM |
|---|---|---|
| Gathering inputs | Analyst logs into separate portals and chases PDFs over email | Bureau, GST, CKYC, NSDL and Account Aggregator pulls run in parallel |
| Financial spreading | Re-keyed into Excel by hand | Financial statements auto-spread into ratios |
| Bank statement review | Line-by-line reading and spreadsheet tagging | Parsed from 77+ Indian bank channels or AA-fetched data |
| GST review | Spot checks on a few returns | 2,200+ automated GST checks |
| Cross-verification | Depends on the analyst noticing a mismatch | GST, bank inflows and bureau records reconciled on every file |
| Memo format | Varies by analyst and branch | One configured CAM template for every file |
| Recommendation | Narrative judgement with little structure | Confidence-rated recommendation with reasons shown |
| Time to a committee-ready memo | 2-3 days | Under 10 minutes for the draft |
| Audit trail | Email threads and file versions | Every action, comment and approval logged |
Bank statement inputs are covered in more depth in our glossary entry on bank statement analysis, which explains the cash-flow signals that end up in the banking section of the memo.
Compliance and audit
Compliance, record keeping and audit readiness
Regulated lenders are expected to appraise credit properly under a board-approved policy, and to be able to show how each decision was reached. Lenders remain responsible for meeting the applicable RBI Master Directions(opens in a new tab); Auto-CAM is designed to make those obligations easier to evidence, not to replace your policy.
Documented appraisal
Each memo records the data used, the checks run, the ratios computed and the policy deviations raised, in a consistent structure across files.
Reconstructable decisions
A complete audit trail of every action, comment and approval lets internal audit or supervisors reconstruct how a sanction was reached.
Data security
SOC 2 Type II certified and ISO 27001 compliant, with 256-bit AES encryption and RBI IRAC-aligned asset classification in CARMA Core.
Deployment
Use Auto-CAM on its own or as part of CARMA Core
You do not need to replace your stack to automate credit memos. Pick the route that fits your technology roadmap.
Modular API
Keep your current LOS and LMS and add Auto-CAM as a pay-per-use API alongside your CBS, with GST, Bank Statement or Financial Statement Analysis added as needed.
Full CARMA Core
Run Auto-CAM inside the full credit operations layer, with LOS, LMS, supply chain finance and Early Warning Signals, typically deployed in 4-6 weeks.
Credit appraisal memo and Auto-CAM FAQs
Common questions from NBFC and bank credit teams
A CAM, or Credit Appraisal Memo, is the document a lender's credit team prepares to recommend whether a loan should be sanctioned, for how much and on what terms. It brings together the borrower's profile, financial analysis, banking behaviour, bureau history, verification results, key ratios, risks and mitigants, policy deviations and the final recommendation, so that the sanctioning authority or credit committee can take an informed, documented decision.
Auto-CAM is the automated Credit Appraisal Memo engine inside CARMA Core. It reads financial statements, GST returns, bank statements and bureau data simultaneously, cross-references them for consistency, and assembles a committee-ready credit memo in under 10 minutes - work that is normally a 2-3 day manual task. Recommendations are confidence-rated rather than a black-box score.
There is no single mandated format; each lender defines its own CAM template in line with its board-approved credit policy. Most NBFC and bank CAMs cover the same core sections: borrower and promoter profile, KYC, business and industry, financial analysis, GST and banking analysis, bureau summary, field verification, repayment-capacity ratios such as FOIR and DSCR, risks and mitigants, deviations and the recommendation with proposed terms. Auto-CAM is configured to your template rather than forcing a generic one.
No. Auto-CAM removes the data gathering, spreading and cross-checking that consume most of an analyst's time on a file. The analyst still reviews the draft, edits the narrative, and records the reasons for any change to the recommendation. Sanction authority stays with your credit committee and the approvers defined in your Delegation of Powers (DOP) matrix.
Auto-CAM draws on financial statements, GST returns, bank statements (PDF statements from 77+ Indian bank channels or data fetched through the Account Aggregator framework) and credit bureau data, along with bureau, GST, CKYC, NSDL and Account Aggregator pulls run through CARMA Core. When CARMA Assess is used, its triangulated risk view across 13 core data engines feeds the memo directly.
Yes. Auto-CAM is available as a modular, pay-per-use API that sits alongside your existing LOS, LMS and core banking system. You can also run it as part of the full CARMA Core stack, which combines LOS, LMS, supply chain finance, Auto-CAM and Early Warning Signals in one layer above your CBS.
Every action, comment and approval on the file is captured in a complete audit trail, alongside configurable DOP approval matrices. That means a credit decision can be reconstructed during internal audit or supervisory inspection: what data was used, what the system flagged, what the analyst changed and why, and who approved the loan. CARMA Core is also aligned to RBI IRAC norms for asset classification and provisioning.
A full CARMA Core deployment typically takes 4-6 weeks, covering product and credit policy configuration and integrations with bureau, GST, banking and Account Aggregator. Most lenders go live with core functionality first and progressively switch on AI modules such as Auto-CAM as usage scales.
Further reading on credit appraisal memos
See Auto-CAM draft a memo from your own loan files
Bring a few recent business loan applications and your current CAM template. We will walk through how Auto-CAM reads the financials, GST returns, bank statements and bureau data, and produces a committee-ready memo your analysts can review.
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