Automation Workflow for Intelligent Payment Plan Negotiation and Setup

This workflow automates the high-volume, repetitive process of negotiating payment arrangements for past-due utility accounts. It directly targets the operational bottleneck of collections staff manually reviewing payment history, calculating affordability, and keying plans into the CIS. The savings come from labor leverage—freeing skilled agents for complex exceptions—and from improved recovery rates through consistent, 24/7 offer generation and instant setup, which reduces customer drop-off during manual processing delays.

Implementation integrates a LangGraph orchestrator with the utility's CIS and meter data management system (MDMS) via APIs. The agent uses retrieved data to score risk and calculate a payment amount within configurable business rules (e.g., percentage of income, remaining balance). If the proposal is accepted, it autonomously creates the payment arrangement, applying waivers or fees as programmed. The architecture includes mandatory approval gates for exceptions, detailed audit trails for compliance, and real-time monitoring of plan performance and default rates.

This workflow automates the high-volume, repetitive process of assessing customer payment history, evaluating current bill status, and proposing viable payment arrangements. It eliminates manual data lookups and rule application by credit teams, directly reducing operational costs and accelerating resolution from days to minutes. The business upside comes from higher plan acceptance rates, improved cash flow predictability, and the reallocation of skilled staff to complex exceptions and strategic collections activities.

Implementation integrates with the utility's Customer Information System (CIS) and Meter Data Management System (MDMS) via APIs for real-time data access. The orchestrator, built on frameworks like LangGraph, manages state and handoffs between specialized agents. Critical controls include immutable audit logs of all negotiations, mandatory human review for out-of-policy exceptions, and a rollback mechanism for CIS updates. Observability is built in, tracking plan acceptance rates, default risk, and agent decision confidence to continuously refine policy guardrails and agent behavior.

Phase 1 focuses on building a read-only assessment agent integrated with the CIS and payment history APIs. This agent analyzes customer financial data against utility policy rules to generate a recommended plan, but all setup actions are manually executed by collections staff. This initial phase de-risks the AI's decision logic, validates data quality, and establishes trust with the credit team without altering live financial workflows. The measurable outcome is a reduction in manual assessment time per case.

Phase 2 introduces a conversational interface for customer self-service, enabling the agent to propose the plan directly via IVR or chat and negotiate within pre-approved guardrails. Human agents retain final approval and CIS write-back authority. Phase 3, contingent on proven accuracy and governance controls, grants the agent autonomous write-back to the CIS for plan setup, with a mandatory audit log and supervisor dashboard for exception monitoring. This staged approach ensures each capability is stress-tested, securing operational buy-in and protecting against revenue leakage.

This workflow automates a high-volume, repetitive collections task: evaluating delinquent accounts and proposing viable payment arrangements. It directly reduces manual review load for credit teams while improving customer payment rates through consistent, guideline-driven negotiation. The operational upside comes from faster resolution cycles, reduced write-offs, and the ability to handle payment inquiries 24/7, deflecting calls from live agents. Implementation requires integrating with the CIS for payment history, a rules engine for compliance, and secure payment gateways for plan activation.

Implementation centers on a LangGraph or similar orchestration layer that sequences the assessment, communication, and system update agents. Critical controls include pre-approved negotiation guardrails stored in a rules engine (e.g., Drools), mandatory human review for exceptions, and a full audit trail of all agent decisions and customer interactions for compliance. The workflow must integrate with the utility's core CIS (like Oracle CC&B or SAP IS-U), SMS/email APIs, and payment processing systems, with monitoring for plan adherence and default rates post-setup.