The GRACE Framework

Executive Summary

Lenders make high‑impact decisions under uncertainty. Legacy logic leans on moral hazard and rigid enforcement. GRACE reframes recovery as a sequence of modeled choices. Each option is compared to a consistent baseline and the action with the strongest expected outcome is selected and recorded with a clear rationale.

The Problem

Assumption‑driven responses produce inconsistent results, longer cycle times, and unmeasured loss. Policies treat risk as behavior rather than outcome. Teams are forced to choose between strict enforcement or open‑ended forbearance without a shared way to measure the tradeoff.

Background and Definitions

• Baseline: A consistent benchmark that represents the default enforcement path used for comparison.
• Deterministic decision: A decision produced by explicit criteria and approved policy without ad‑hoc judgment.
• Decision record: A time‑stamped entry that includes inputs, constraints, policy version, and rationale.
• Policy version: An approved configuration of criteria and rules, promoted through governance and reproducible later.

Framework Overview

• Deterministic decisions: Each action path is evaluated against a baseline so the chosen option protects value.
• Explainable by construction: Inputs, criteria, and policy version are captured for each decision.
• Portfolio aware: Policies are approved, versioned, and reviewed so local choices support portfolio health.

Decision Flow

1. Detect: Surface risk using rules and policy thresholds.
2. Compare: Evaluate available actions against the enforcement baseline.
3. Select: Choose the option with the strongest expected outcome.
4. Execute: Generate instructions and route tasks to downstream teams.
5. Record: Store inputs, policy version, and rationale for audit.

Operating Model

• Pilots first: Start with a defined segment and minimal inputs. Compare outcomes against the baseline.
• Review and promote: Validate results, then promote policies through governance.
• Learn and refine: Track realized versus expected and adjust approved policies.
• Scale: Apply approved playbooks consistently across teams and regions.

Case Snapshots

• Floorplan: Short cure on high‑turn units while holding aged inventory avoids avoidable enforcement costs.
• Equipment: Early voluntary surrender on at‑risk models reduces leakage and accelerates proceeds.
• Mortgage: Trial modification with clear guardrails performs better than immediate enforcement for a stable income profile.

Governance and Audit

• Decisions are recorded with inputs, constraints, policy version, and rationale.
• Versioned policies and approvals allow any prior state to be reproduced.
• Exceptions are documented with a reason and approver for later review.

Outcomes and KPIs

• Difference between recommended and selected paths
• Time to resolution by segment and policy
• Recovery relative to a consistent enforcement baseline
• Exception rate and audit completeness

Integration Options

• Customer hosted data: Keep data in your environment and submit minimal case payloads for decisions.
• Managed environment: Operate in a governed environment with versioned policies and audit records.

Both paths yield the same decision output. Choose the model that aligns to your controls today. Migrations can be phased as needs evolve.

Glossary

• Baseline: A consistent benchmark that represents the default enforcement path for comparison.
• Decision record: A time‑stamped entry that includes inputs, constraints, policy version, and rationale.
• Policy version: An approved configuration of criteria and rules promoted through governance.
• Exception: A documented, approved deviation from policy with a reason and approver.
• Pilot: A limited rollout used to validate a policy before promotion.