Guardian Automation & AI

Automate Low-Risk Decisions Without Losing Control

Guardian is the automation and decisioning layer within Dispute Advantage. It reduces manual dispute handling by executing low-risk decisions automatically, assisting judgment where discretion is required, and escalating control back to humans when risk emerges.

Automation is intentional. Oversight is continuous. Human authority is preserved.

Automation control panel: threshold sliders, decision tree branching to auto-resolve and escalate, confidence scores

Manual Control Doesn’t Scale, Blind Automation Breaks Trust

As dispute volume grows, relying on humans to evaluate every case slows resolution and increases cost. But fully automated decisioning introduces a different risk—static rules can be exploited, drift over time, or produce outcomes teams can’t defend.

Organizations need automation that accelerates work and knows when to stop. Guardian exists to automate safely.

How Guardian Works

Six capabilities that automate safely, assist judgment, and preserve human authority across the dispute lifecycle.

Configuration panel with threshold sliders and policy toggles

Automation With Human-Defined Authority

Guardian applies automation based on policies and thresholds defined by operations and compliance teams—not hard-coded assumptions. Teams can configure automation using criteria such as dollar thresholds, case type and scenario, risk or confidence scores, and program-specific rules. Automation executes where risk tolerance allows and defers to humans where it does not.

Decision flow: case enters, threshold check, auto-resolve or pass through

Threshold-Based Decision Automation

Guardian automatically resolves disputes when conditions are met. This includes auto-approval or denial of low-risk cases, automatic write-offs below defined thresholds, and advancing cases to resolution without human touch. Low-risk cases move quickly. Human effort is reserved for what matters.

Case card with scoring overlay: fraud percentage, recovery probability, risk level

Predictive Scoring to Focus Human Attention

Guardian applies predictive scoring models to assess factors such as fraud likelihood, recovery probability, escalation risk, and behavioral anomalies. Scores inform whether a case should be automated, reviewed, or escalated—guiding judgment without replacing it.

Alert dashboard: spike chart, threshold-gaming warning, pattern detection

Adaptive Guardrails That Detect Exploitation and Drift

Guardian continuously monitors outcomes across automated decisions. When patterns emerge—such as repeated disputes just below thresholds, abnormal volume spikes, or behavior indicating exploitation—Guardian responds. Automation is suspended where needed. Cases are escalated for review. Risk is surfaced before losses accumulate.

Case routed from automation lane to human review lane with reason flag

Automated Escalation to Human Review

When risk tolerance is exceeded, Guardian automatically routes cases to human review, flags the reason for escalation, and recommends next actions. Humans retain authority over threshold adjustments, policy changes, and card holds or cancellations. Guardian assists. Humans decide.

Case detail with suggested actions panel and draft denial summary

AI-Assisted Outcome Recommendations

For cases requiring judgment, Guardian provides AI-assisted recommendations including suggested resolutions, recommended next actions, and draft denial summaries based on case facts and precedent. Recommendations accelerate decision-making while preserving accountability.

1 Configuration panel with threshold sliders and policy toggles
2 Decision flow: case enters, threshold check, auto-resolve or pass through
3 Case card with scoring overlay: fraud percentage, recovery probability, risk level
4 Alert dashboard: spike chart, threshold-gaming warning, pattern detection
5 Case routed from automation lane to human review lane with reason flag
6 Case detail with suggested actions panel and draft denial summary

Visibility Into Policy Impact

Guardian surfaces how automation policies affect outcomes over time. Teams can see how thresholds influence loss and recovery, where automation reduces handle time, and where policy adjustments may be required. Automation becomes measurable, tunable, and defensible.

Chart showing threshold adjustment effects on loss, recovery, and handle time over time

Built to Work With Human Execution

Guardian does not manage tasks or workflows. When human execution is required, Guardian hands cases to Dossier, which governs investigation, correspondence, credits, and closure. Guardian decides when automation applies. Dossier ensures humans execute correctly when it doesn’t.

Frequently Asked Questions

Is Guardian a rules engine?

No. Guardian combines deterministic rules with predictive scoring and adaptive monitoring.

Can Guardian change policies automatically?

No. Guardian escalates issues and recommends actions, but humans retain authority over policy changes.

What happens when automation is exploited?

Guardian detects the pattern, suspends automation where appropriate, and escalates cases for review.

Does Guardian remove human judgment?

No. Guardian removes unnecessary work and assists judgment where discretion is required.