Intelligent end-to-end exception management for the meter-to-cash lifecycle.
Utilities are burdened by high volumes of meter-to-cash process exceptions across the key functions of meter data management, billing & payments, and collections. These exceptions often rise from an inability to view the meter-to-cash process holistically due to data and functional silos, manual processes, and aging systems.
These challenges lead to lost revenue, regulatory compliance issues, and frustrated customers. Learn how our AI Agents embed decision intelligence across the entire meter-to-cash lifecycle, which can help utilities proactively prevent, detect, and resolve exceptions, driving improved revenue performance and operational efficiency.
Millions lost annually due to unresolved exceptions within meter, billing, and collections processes.
Delays and billing errors frustrate customers.
Inability to meet audit or billing accuracy standards.
High operational costs and slow resolution times.
CIS, MDM, and AMI systems don’t communicate effectively.
Increase customer satisfaction, detect and fix leakage, increase profits and reduce costs.

AI Agents that provide intelligent, multi-persona, meter-to-cash exceptions management.
Proactively identifies disruptions likely to trigger meter, billing and collections exceptions
Exceptions based on trigger, circumstance and anomalies
Take guided actions with step-by-step explanations to accelerate resolutions
Prevent future spikes of exceptions with actionable insights through intelligent process automation
Enterprise Profit Maximization for Banking and Utilities

The Exceptions360™ journey transforms the siloed utility workflow into a unified, intelligent system. It is built on a resilient, modern architecture that connects core utility systems (AMI, MDMS, CIS) with a central intelligence layer.
The foundational layer that uses AI and machine learning to analyze data and proactively identify risks and opportunities across the entire M2C process.
Focuses on the operational reliability and accuracy of billing to ensure on-time, correct customer bills.
Maintains data privacy, security, and auditability by aligning with industry standards and regulations, mitigating compliance risk.
Improves customer satisfaction by resolving exceptions to deliver accurate, timely bills, which reduces complaints and builds customer trust.
The core problem-solving stage where AI-driven resolution paths are delivered to analysts.
The final output that provides actionable, real-time data to monitor exception patterns and continuously refine billing operations.
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Cases are generated with structured
information about what triggered the
exception
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Reacts directly to the underlying error
condition and routes to a predefined
correction workflow
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Will not automatically suggest process
redesigns or preventative resolutions
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Truly prevents the recurrence of exceptions with AI-driven insights
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Analyzes the recurring Exception trends
with embedded intelligence
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Fixes the root cause issue through recommendation with evidence
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Copilot 🡪 Autopilot: Automates the
correction through a multi-agentic system
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Improves revenue realization
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Prevents future exceptions from occurring
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Improved operational visibility
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Better internal collaboration
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Enhanced business continuity through
knowledge retention in the system

