AI-First Credit Decisioning Built on Verified Financial Data
Unify GST, bank statement, financial statement, ITR and invoice intelligence into an explainable borrower profile. Cygnet Finalyze helps banks, NBFCs and corporates assess risk faster, detect inconsistencies earlier and monitor exposure beyond the point of approval.
- Multi-source borrower intelligence
- Explainable risk signals
- API-first decisioning
within the Cygnet Finalyze experience
Why change Challenges this solution is built to solve
Credit teams often have more data than ever, but it arrives in separate reports, formats and systems. The real challenge is converting fragmented evidence into one consistent, defensible decision.
Fragmented borrower evidence
GST, bank, ITR, financial statements and invoices are reviewed in separate workflows, creating blind spots.
Manual credit appraisal
Analysts spend time collecting, spreading, reconciling and summarizing data instead of evaluating material risk.
Hidden inconsistency and fraud
Income, turnover, cash flow, obligations and invoice claims may not agree across sources.
Point-in-time underwriting
Risk can change after disbursal, while portfolio teams lack timely early-warning signals.
How it works From raw data to a governed business decision
Cygnet Finalyze creates a source-aware decision pipeline. Cygnet’s verified tax and compliance intelligence works with GLIB.ai document intelligence where bank and financial statements are involved.
Ingest consent-based, public, uploaded or system data through APIs, AA/GSP journeys and files.
Convert financial documents and structured feeds into a consistent borrower data model.
Compare turnover, income, cash flow, liabilities, tax behavior, counterparties and invoices across sources.
Apply configurable policies, ratios and risk signals with reason codes and review priorities.
Send outputs into LOS, LMS, ERP or credit workflows and monitor material changes over time.
AI-first architecture Intelligence that understands, evaluates and acts
AI is used where it creates measurable value: structuring data, identifying context, detecting risk, explaining findings and routing exceptions, while keeping people and policy in control.
Layer 01 Document Intelligence
GLIB.ai reads and structures bank and financial statements, including scanned and non-standard formats.
- AI-OCR & IDP
- Transaction context
- Financial spreading
Layer 02 Verified Compliance Intelligence
Cygnet converts GST, ITR and invoice data into business health, compliance and authenticity signals.
- GST BI
- GRC Score
- ITR ratios
- Invoice verification
Layer 03 Decision Orchestration
A unified rules and analytics layer creates borrower views, exceptions, scores and governed actions.
- Cross-source checks
- Policy rules
- Human review
- Monitoring
Business impact Designed for BFSI, NBFCs and corporates
Use one intelligence foundation across lending, risk monitoring and counterparty assessment, with the workflow and controls required by each segment.
Banks & Financial Institutions
Apply the same intelligence foundation to the decisions and workflows that matter most to this segment.
Priority use cases
- Accelerate MSME, retail and corporate credit assessment
- Standardize credit appraisal across teams and geographies
- Strengthen trade finance invoice checks
- Create portfolio-level early-warning views
What changes for teams
- Fewer manual preparation steps
- Consistent evidence and risk logic
- Exception-led analyst review
- Structured integration into existing systems
NBFCs & Digital Lenders
Apply the same intelligence foundation to the decisions and workflows that matter most to this segment.
Priority use cases
- Reduce underwriting effort for high-volume applications
- Build cash-flow-led assessment for thin-file borrowers
- Configure product-specific scorecards and reports
- Integrate with digital lending and LOS journeys
What changes for teams
- Fewer manual preparation steps
- Consistent evidence and risk logic
- Exception-led analyst review
- Structured integration into existing systems
Corporates & Large Enterprises
Apply the same intelligence foundation to the decisions and workflows that matter most to this segment.
Priority use cases
- Evaluate customer and distributor credit risk
- Assess vendors and counterparties before exposure
- Improve working-capital and supply-chain finance decisions
- Monitor GST compliance and financial deterioration
What changes for teams
- Fewer manual preparation steps
- Consistent evidence and risk logic
- Exception-led analyst review
- Structured integration into existing systems
Why Cygnet Finalyze Move beyond disconnected data tools
The differentiator is not AI as a label. It is verified data, specialized document intelligence, explainable risk logic and integration into the decisions your teams already make.
- Separate reports for every data source
- Manual spreading and spreadsheet reconciliation
- Opaque scores without source context
- One-time checks at onboarding
- Rigid outputs disconnected from workflows
- One unified, source-aware borrower profile
- AI-assisted extraction, reconciliation and risk prioritization
- Explainable signals with evidence and reason codes
- Continuous risk monitoring and early-warning indicators
- Modular APIs, custom policies and human approvals
Governed AI Enterprise control around every AI-assisted output
Support faster decisions without turning models into a black box. Review, override, trace and integrate outputs within your own governance model.
Human-in-the-Loop
Analysts validate high-value, low-confidence or policy-sensitive cases before final decisions.
Source Traceability
Every material signal can be traced to the underlying document, filing or verified data source.
Configurable Policies
Bring your credit policy, thresholds, ratios, scorecards and exception rules.
Role-Based Controls
Govern access, review and approval by product, branch, entity, portfolio or user role.
Audit-Ready Decision Trail
Capture inputs, model outputs, overrides, comments and final action history.
Secure Integration
Connect through APIs and governed data journeys without rebuilding the entire credit stack.
- Loan Origination Systems
- Loan Management Systems
- Core Banking
- Account Aggregator
- GST/GSP journeys
- ERP & CRM
- Data lake / warehouse
- REST APIs & webhooks
Frequently asked questions Questions credit, risk and technology teams ask
Cygnet Finalyze is a modular credit assessment and decisioning platform that combines GST, bank statement, financial statement, ITR and invoice intelligence for underwriting, fraud control and ongoing risk monitoring.
Cygnet provides verified tax, compliance, invoice and decisioning intelligence. GLIB.ai strengthens document intelligence for bank statement and financial statement processing. The combined experience creates a unified workflow without implying that GLIB powers every Finalyze module.
Yes. Ratios, thresholds, scorecards, decision rules, exception routing and output formats can be configured to align with the institution’s policy and product design.
Yes, depending on the module. GST BI, bank and ITR journeys may use authorized or consent-based data, while GRC Score uses publicly available GST filing signals for rapid pre-screening.
Yes. The platform is designed for API-led integration with LOS, LMS, core banking, ERP, CRM, data platforms and custom underwriting workflows.
AI supports extraction, classification, reconciliation, scoring and prioritization. Institutions retain control through configurable policies, human review and approval workflows.