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Cross-System Investigation
Billing analysts chase a single exception across CIS, MDM, and ERP silos — manually stitching the story together.
Autonomous Meter-to-Cash Agent · Brains Technology Solutions Inc.
Billing exceptions,resolvedautonomously.
MeterClear is an AI agent built for utility billing exception resolution — reading account and meter history, diagnosing root causes, and resolving policy-authorized exceptions around the clock. Every action bounded by policy. Every decision on the audit trail.
▸ 24/7 THROUGHPUT▸ POLICY-BOUNDED▸ AIR-GAP READY▸ AUDIT-NATIVE
AMI TELEMETRY · NODE 4A LIVE
EXCEPTION QUEUE0 clearedbacklog held at zero — 24/7
SAP IS-U / S4HANA⚡ORACLE CC&B⚡BOUNDED AUTONOMY⚡POLICY GUARDRAILS⚡AIR-GAPPED DEPLOYMENT⚡24/7 EXCEPTION THROUGHPUT⚡AUDIT-GRADE TRACEABILITY⚡HUMAN-IN-THE-LOOP⚡SAP IS-U / S4HANA⚡ORACLE CC&B⚡BOUNDED AUTONOMY⚡POLICY GUARDRAILS⚡
01
01 THE PROBLEM
The meter-to-cash exception queue is where margin goes to die.
Manual exception handling creates cost, delay, and operational risk — at exactly the layer of the business utilities can least afford it.
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Repetitive Diagnosis
The same exception families return every cycle, and every cycle a human re-derives the same root cause.
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Growing Backlogs
Manual workflows cannot scale with AMI data volume. Queues compound; cash conversion slows.
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Inconsistent Handling
Different analysts apply different approaches to identical exceptions — and the audit trail shows it.
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Elevated Risk
Critical-infrastructure environments demand controls that ad-hoc manual work simply cannot provide.
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Rising Cost-to-Serve
The result: slower cash, inconsistent customer outcomes, and no defensible record of why a bill changed.
Every unresolved exception is revenue in limbo — and a control gap your auditors will find.
02
02 HOW IT WORKS
From exception queue to controlled autonomous resolution.
Not a chatbot. Not a recommendation engine. A controlled agentic workflow — READ, DIAGNOSE, VALIDATE, RESOLVE, AUDIT — from intake to sealed audit trail.
LIVE AGENT SIMULATION STANDBY
Press run to watch MeterClear take exception #EX-88902 from intake to sealed audit — a controlled agentic workflow, end to end.
AGENT CONSOLE · #EX-88902METERCLEAR / LIVE
READY
Awaiting instruction
Choose a scenario and run the controlled agent workflow.
> exception queue connected > policy engine online > audit trail ready
✓ Works exceptions through an operational workflow
✓ Policy-authorized actions executed autonomously
✓ Every executable action bounded by policy
03
03 REFERENCE ARCHITECTURE
Designed to fit the utility's existing billing landscape.
MeterClear lands inside your estate — SAP, Oracle, or non-SAP CIS — behind a controlled integration layer, with guardrails between every decision and every action.
L1▣
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UTILITY SYSTEMS
SAP IS-U / S/4HANA Utilities · Oracle CC&B · Other CIS / Billing
L2⌁
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INTEGRATION LAYER
APIs / adapters · identity · secure connectivity
L3◉
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METERCLEAR AGENT
Context retrieval · diagnosis · resolution orchestration
L4♢
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POLICY GUARDRAILS
Allowed actions · thresholds · approvals · segregation of duties
L5✓
EXECUTION & AUDIT
Bounded remediation · before/after state · audit trail · monitoring
04
04 SECURITY & GOVERNANCE
Governance isn't a feature. It's the workflow.
Policy-controlled autonomy, layer by layer — built for environments where an unauthorized bill change is not an acceptable failure mode.
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Policy-Constrained Actions
The agent only executes explicitly permitted operations — nothing outside the configured policy envelope.
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Action-Control Layer
A hard control plane between decision and execution prevents unauthorized bill changes outright.
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Auditable Decisions
Every diagnosis, validation, and action is recorded with context — operational accountability by default.
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Role-Based Access
Controlled system integration with least-privilege identity and segregation of duties.
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Air-Gapped Ready
On-premise and air-gapped deployment options for critical-infrastructure environments. Zero data egress.
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Human-in-the-Loop
Exceptions outside policy are routed for human approval — autonomy yields exactly where you say it does.
“Every executable action is bounded by policy.” — THE METERCLEAR DESIGN CONTRACT
05
05 USE CASES
Start with high-volume, rule-driven exceptions. Then expand.
Land with one exception family, prove outcomes against your actual baseline, and extend autonomy family by family.
Meter-to-Bill Discrepancies
Identify and reconcile mismatches between meter reads and issued bills before they reach the customer.
Billing Calculation & Validation
Validate rate application and calculation exceptions against tariff and contract configuration.
Account / Meter History Investigation
Trace history across systems — exchanges, reprograms, reads — to establish root cause in seconds.
Recurring Exception Patterns
Apply consistent, policy-identical remediation to repeat exception types, cycle after cycle.
Policy-Authorized Corrections
Execute billing corrections within configured policy — bounded, logged, and reversible on record.
Human-in-the-Loop Approval
Route out-of-policy exceptions to the right approver with the full diagnosis package attached.
06
06 BUSINESS VALUE
Measure outcomes against your actual baseline.
Annual Exception Volume × Avg. Handling Time × Loaded Labor Cost × Automation Rate. Move the sliders — the math is yours to interrogate.
ROI Framework
ESTIMATE ONLY — VALIDATED SAVINGS & PRODUCTIVITY METRICS ARE ESTABLISHED FROM PILOT DATA AGAINST YOUR BASELINE.PROJECTED ANNUAL SAVINGS$1,813,50029,250 ANALYST HOURS RETURNED / YEAR
LESS ANALYST TIMEon repetitive investigationHIGHER THROUGHPUTsame headcount, more clearedGREATER CONSISTENCYpolicy-identical resolutions24/7 CAPACITYno idle backlog, ever
07
07 COMMERCIAL MODEL
Land with one exception family. Expand on evidence.
A phased enterprise pilot — implementation plus annual platform subscription, with volume-based or exception-based pricing finalized after workload and deployment scope are set.
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WEEKS 1–2PHASE 01Discovery
Select exception types, policies, integrations, security requirements, and success metrics — with your billing and compliance teams at the table.
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WEEKS 3–6PHASE 02Pilot
Deploy MeterClear against a controlled exception workload. Outcomes measured against your actual baseline — not a vendor benchmark.
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WEEK 7+PHASE 03Production
Expand approved exception types and processing volume. Autonomy grows family by family, always inside policy.
COMMERCIAL OPTIONS — IMPLEMENTATION + ANNUAL PLATFORM SUBSCRIPTION · VOLUME-BASED OR EXCEPTION-BASED PRICING PRICED AFTER SCOPE
08
08 CONTACT
Put your exception queue on autopilot.
Tell us about your billing landscape and the exception families eating your analysts' week. We'll come back with a pilot scope.