Runtime Enforcement By Design
Define and enforce network rules, evidence requirements, and response constraints at runtime to avoid invalid submissions.
Run dispute and chargeback agents in production with predictable behavior, enforced response rules, and audit-grade accountability.
Reconciling conflicting information produces inconsistent dispute summaries
LLM extraction differs across runs and model versions
Miscategorized disputes trigger the wrong network rules leading to representment failures and write-offs
Non-deterministic classification behavior
Rules are applied inconsistently, risking lost disputes or fines
Policies are not enforced at runtime
Responses cannot be reconstructed during audits or appeals
Lack of end-to-end provenance across inputs and outputs
Unpredictable behavior creates liability for banks (eat losses and punitive fines)
No guardrails ensuring behavior stays within approved bounds
Humans re-handle entire cases because agent confidence is opaque
Escalation logic lacks visibility into agent decision quality
Define and enforce network rules, evidence requirements, and response constraints at runtime to avoid invalid submissions.
Ensure dispute classification and response generation remain consistent across cases and reruns.
Architect agents to automatically capture the full chain of evidence, decisions, and submissions to support appeals and audits.
Define, enforce, and evolve agent performance metrics as models, context, and workflows change.
1.
Define operational boundaries
2.
Enforce behavior at runtime
4.
Prove readiness continuously
3.
Expand autonomy safely
1.
Approved dispute classifications, network rules, evidence requirements, and submission constraints. Clear limits on what agents can do.
LLM and MCP catalog with approved resources and access policies
2.
Validate classifications, evidence, and responses before submission. Prevent invalid filings, rule violations, and unauthorized actions.
Runtime enforcement, prompt blocking, DLP, and consistency checks
3.
Increase automated dispute handling as accuracy stabilizes. Reduce manual rework by delegating repeatable cases with control.
Readiness standards, automated evaluation pipelines
4.
Maintain records of dispute actions, evidence, and submissions. Support appeals and examinations with regulator-ready documentation.
Metrics export, traces, audit trails, and compliance reporting
1.
Approved dispute classifications, network rules, evidence requirements, and submission constraints. Clear limits on what agents can do.
LLM and MCP catalog with approved resources and access policies
2.
Validate classifications, evidence, and responses before submission. Prevent invalid filings, rule violations, and unauthorized actions.
Runtime enforcement, prompt blocking, DLP, and consistency checks
4.
Maintain records of dispute actions, evidence, and submissions. Support appeals and examinations with regulator-ready documentation.
Metrics export, traces, audit trails, and compliance reporting
3.
Increase automated dispute handling as accuracy stabilizes. Reduce manual rework by delegating repeatable cases with control.
Readiness standards, automated evaluation pipelines
Faster dispute resolution without increased loss rates
Fewer disputes requiring manual rework
More consistent dispute outcomes across teams
Clear attribution of AI-generated decisions for reviews
Prove how dispute agents behave.
Agent Router Enterprise gives engineering teams the controls, visibility, and accountability required to run credit agents safely in production.