Credit Risk Intelligence Layer for Lending Platforms & Advisory Teams

Who This Is Relevant For

◆ Credit & Lending Software Vendors

For decisioning platforms, LOS providers, portfolio monitoring tools, analytics vendors, and fintech SaaS teams that want to add deeper risk capability.

FoFi can help you add below without hiring a full risk analytics team or building the stack internally:

• Calibration health checks
• Raw vs calibrated PD monitoring
• Threshold optimization
• Approvals/ losses / ECL / NII / PnL impact analysis
• Segment-level risk diagnostics
• Scenario and stress analytics
• Fairness / AIR diagnostics
• Governance-ready model evidence

◆ Boutique Risk & Credit Advisory Firms

For consulting firms that need specialist analytics depth behind client engagements. FoFi can operate as a white-label or external capability layer for:

• Model monitoring reviews
• Calibration and stability assessments
• Threshold / policy impact analysis
• Portfolio diagnostics
• Scenario analysis
• Fair lending / fairness analytics
• Committee-ready reporting packs

You own the client relationship. FoFi supports the specialist analytics backend.

What FoFi Adds

Most lending platforms and advisory teams already have reports. The gap is usually not reporting. The gap is decision intelligence:
• Is the model calibrated?
• Are thresholds causing approval leakage?
• Which segments are driving risk?
• What happens if policy changes?
• How much ECL / NII / PnL moves?
• Is the strategy defensible to risk, audit, or committees?
FoFi turns model outputs and portfolio data into a structured decision narrative.

Core Capabilities

◆ Calibration & PD Governance

Evaluate whether model scores are probability-correct and whether raw PD or calibrated PD should drive downstream economics. It includes:

• Calibration health checks
• Segment-level calibration diagnostics
• Raw vs calibrated PD source control
• ECL / PnL / NII impact of calibration
• Calibration artifact lineage

◆ Monitoring & Portfolio Diagnostics

Track whether model and portfolio behavior are moving away from expected performance.
It includes:

• PSI / drift monitoring
• Vintage analysis
• Expected vs observed default rate
• Segment risk movement
• Policy and threshold monitoring

◆ Threshold & Strategy Optimization

Quantify approval, loss, ECL, NII, PnL, and fairness trade-offs across thresholds.
It includes:

• Champion vs challenger comparison
• Live vs candidate thresholds
• Constraint-based optimization
• Near-feasible alternatives
• Segment hotspots
• Decision memo output

◆ Scenario & Stress Analytics

Estimate how portfolio economics and risk change under business or macro-style stress assumptions.
It includes:

• Stress overlays
• Segment-level scenario impact
• Approval / ECL / PnL movement
• Risk concentration diagnostics

◆ Fairness & Governance-Ready Decision Packs

Support fair-lending and model-governance review with transparent group-level diagnostics.
It includes:

• AIR / approval parity
• Group-level approval movement
• Threshold fairness impact
• Low-sample flags
• Governance-ready evidence packs

Engagement Models

◆ Capability Add-On for Vendors

FoFi can be integrated or delivered as a modular analytics layer behind your product.
Best suited for:

• Lending SaaS vendors
• Decisioning platforms
• LOS / origination tools
• Portfolio monitoring platforms
• Fintech infrastructure providers

Possible formats:

• API-backed module
• White-label analytics layer
• Embedded dashboard
• Custom risk engine prototype
• Client-specific analytics pack

◆ White-Label Analytics for Boutiques

FoFi can support boutique consulting firms as a specialist external analytics capability.
Best suited for:

• Credit risk advisory firms
• Model risk consultants
• Loan review firms
• Portfolio strategy consultants
• Compliance / governance advisory teams

Possible formats:

• White-label analytics delivery
• Behind-the-scenes model review support
• Client-ready dashboards and memos
• One-off portfolio diagnostics
• Repeatable engagement toolkit

Why Teams Work With FoFi

• Faster than building internally
• Cheaper than hiring a full specialist team
• Deeper than static monitoring reports
• Designed for credit risk workflows
• Built around governance, not just dashboards
• Can be delivered as product, advisory support, or white-label capability

Example Questions We Help Answer

• Is the current PD still reliable?
• Should the model be recalibrated or rebuilt?
• Which threshold gives the best approval-risk trade-off?
• Which segments are driving ECL or PnL leakage?
• How does the candidate strategy compare with live policy?
• Are fairness guardrails stable under the new threshold?
• Can the recommendation be defended in a risk committee?