Loan Decision Assistant
Lending decision support with document verification, policy checks, and explainable underwriting reasoning.
Why underwriting decisions are hard to scale
- ●Loan applications require reviewing large volumes of borrower financial documentation.
- ●Lending policies vary by product, geography, and risk profile.
- ●Manual verification introduces delays and inconsistency in approval cycles.
- ●Lenders need clear traceability behind every recommendation and final decision.
What Loan Decision Assistant provides
Borrower Dashboard
Applicant financial health assessment
Annual Income
$168k
Credit Score
742
DTI Ratio
31%
Requested
$420k
Financial Profile
Application
Borrower financial analysis
Assess financial health and risk posture from applicant data.
Borrower Dashboard
Applicant financial health assessment
Annual Income
$168k
Credit Score
742
DTI Ratio
31%
Requested
$420k
Financial Profile
Application
Lending policy validation
Evaluate applications against product-specific rule frameworks.
Lending Rule Engine
Policy pack: Home Loan v7.4
Rule Evaluation
| Rule | Value | Result |
|---|---|---|
| Max LTV ≤ 80% | 74% | pass |
| DTI ≤ 36% | 31% | pass |
| Credit score ≥ 680 | 742 | pass |
| Risk band | Medium | medium |
Policy Pack
Document verification
Automate checks on uploaded borrower documentation.
Document Verification
Automated extraction and validation
Extracted Documents
| Document | Extracted Field | Status |
|---|---|---|
| W-2 Statement | Employer + salary | verified |
| Bank Statement | Avg balance: $42k | verified |
| Tax Return (2025) | Declared income | verified |
| Government ID | KYC fields | pending |
Progress
Traceable reasoning
Show explainable underwriting rationale for each recommendation.
Underwriting Recommendation
Explainable decision rationale
Decision Rationale
Borrower profile satisfies policy constraints with stable income trajectory across 5 years. Credit score (742) exceeds minimum by 62 points. DTI ratio (31%) provides adequate margin below threshold.
Income stability
Verified via W-2 + tax returns (5yr)
Risk assessment
Medium band — credit + DTI within limits
Condition
Final KYC verification required for closure
Approve (Conditional)
Pending KYC verification for final clearance
92%
confidence
Decision
Policy-bound agents
Capability enforcement ensures autonomous systems operate within explicit boundaries.
Governance Flow
Policy-bound agent execution ensures autonomous systems operate within boundaries.
Autonomous systems require explicit boundaries.
Where it sits in the stack
PlantoOS Architecture
The stack relationship between apps, agents, runtime, and systems.
Applications
Products and workflows
Agents
LLM-powered autonomous units
PlantoOS Runtime
Execution · orchestration · control
Capability Layer
Policy enforcement and tool access
Medhara Core
Memory · governance · lineage
Enterprise + Public Systems
Databases, APIs, infrastructure
A new compute layer for systems operated by agents.
Key workflows
How data flows through the system in typical usage patterns.
Workflow 1
Input
Loan application submission
Core Process
Extracts and evaluates borrower financial signals
Output
Structured risk profile for underwriting
Workflow 2
Input
Policy eligibility check
Core Process
Validates application against lending rule sets
Output
Policy-grounded approve, deny, or review recommendation
Workflow 3
Input
Decision quality audit
Core Process
Traces recommendation to documents, policies, and rationale
Output
Explainable decision artifact for governance
Measured outcomes
↓ 20–40%
Application review time
↑ 15–25%
Decision consistency
100%
Recommendation traceability
Indicative ranges from internal benchmarks and early deployments; results vary by workload, model, and infrastructure.
How it integrates
SDK-first integration — governed from the first line of code.
Connect lending stack
Link applications, KYC, and credit data providers
Configure policies
Encode eligibility, risk, and compliance rules
Assist underwriters
Deliver verified insights and explainable recommendations