Gas Utility Automates Customer Operations Across 4 Regional Offices with Agentic AI | Teknoloje
AI AGENTS — ENERGY & UTILITIES CASE STUDY

Gas Utility Automates Customer Operations Across 4 Regional Offices with Agentic AI

Transforming manual customer service, field dispatch, and regulatory compliance into a unified, high-speed automated operation.

80% in < 3 Hours 48h → 3h Resolution Time Reduction Across 4 Regional Offices
UTILITY MULTI-AGENT CONSOLE 4 OFFICES LIVE AUTOMATED FAULT & DISPATCH ROUTING Postcode Sector 4 · Pressure Loss Alert · Tech #14 Auto-Dispatched AI Geospatial Routing & SLA Agent "Clustered 3 emergency fault tickets into optimized route sequence. Drive time reduced by 34%. Daily regulatory SLA report auto-generated." ✓ Billing & Field GIS Synchronized ETA: 18 Mins LangChain · Claude 3.5 · Python FastAPI · PostgreSQL · AWS Lambda · Twilio
CLIENT: Major Gas Distribution Utility
INDUSTRY: Energy & Utilities
SOLUTION: Multi-Agent Agentic AI System
DEPLOYMENT: January 2026
ANNUAL SAVINGS: Rs 12M Estimated Cost Reduction
80% Cases resolved in <3 hours
48h → 3h Resolution time reduction
4 Offices Regional offices automated
Rs 12M Annual savings estimate
* Verified operational metrics across 4 regional utility offices since deployment.
THE CHALLENGE

The Operational Challenge.

The utility company struggled with fragmented systems and manual processes across four regional offices, severely impacting service delivery, field technician scheduling, and regulatory reporting.

Growing Contact Volume

Handling 3,200+ daily customer contacts across billing disputes, gas supply complaints, and new connection requests.

Siloed Workflows

Each office operated independently, averaging 48 hours for billing disputes and up to 14 days for new connection requests.

Manual Field Dispatch

Field service teams were dispatched manually with no real-time visibility into technician availability or geographic clustering.

Compliance Overhead

Supervisors spent 200 hours monthly compiling activity logs and SLA reporting manually for the energy regulatory authority.

OUR APPROACH

Multi-Agent Architecture.

Teknoloje engineered a multi-agent AI system that unifies customer service triage, automated billing resolution, geospatial field dispatch, and regulatory compliance across all four regional offices.

By integrating directly with the legacy billing system, GIS mapping platform, and technician scheduling databases via secure REST APIs, the agentic platform eliminated manual bottlenecks while keeping humans in the loop for high-risk escalations.

IMPLEMENTATION PILLARS

How the System Was Engineered.

01 — Process Audit

6 weeks of shadow-work sessions across all 4 offices, mapping the exact decision rules used to resolve each of the 27 distinct customer request types.

02 — Agent Architecture

A multi-agent system: triage agent classifying requests, specialist agents for billing, field ops, and new connections, and a supervisor SLA monitor.

03 — System Integrations

Integrated with the legacy billing system, GIS field management platform, and HR technician scheduling databases via secure REST APIs.

04 — Geospatial Field Dispatch

A geospatial routing agent clusters fault reports by postcode and suggests optimized dispatch sequences, reducing technician drive time by 34%.

05 — Regulatory Compliance

The supervisor agent auto-generates daily SLA logs and monthly filings in the exact regulatory format, completely removing human reporting errors.

06 — Production Hardening

Deployed with AWS Lambda, PostgreSQL audit trails, and strict role-based data access controls across all four regional operation centers.

"Our supervisors were drowning in manual work. The AI agents gave us our team back. More importantly, our customers are finally getting answers on the same day they call — something we struggled to promise for years."

Tariq Hussain

Head of Customer Operations · Major Gas Utility

Project At a Glance

Client Major Gas Distribution Utility
Industry Energy & Utilities
Solution Agentic AI Multi-Agent Systems
Deployment January 2026 (Live in Production)

Technology Stack

LangChain Anthropic Claude n8n Python FastAPI PostgreSQL AWS Lambda Google Maps API Twilio SMS
OPERATIONAL TRANSFORMATION

The Operational Shift

  • Rapid Billing Dispute Resolution: Billing inquiries resolved within 3 hours, down from a 48-hour manual backlog.
  • Connection Processing in 2 Hours: New connection requests triaged in 2 hours, cutting total cycle time from 14 days to 6 days.
  • 98% Reduction in Compliance Time: Monthly regulatory reporting takes 4 hours instead of 200 hours of supervisor manual entry.
  • Unified Regional Operation: All 4 offices operate from a synchronized, single customer view.
MEASURABLE RESULTS

Business Impact

  • 80% Automated Same-Day Resolution: Billing and supply inquiries resolved automatically without delay.
  • 34% Field Dispatch Optimization: Geospatial routing reduced technician travel time between service calls.
  • 22% More Field Jobs Completed: Handled significantly higher service volume with the exact same technician headcount.
  • Rs 12M Annual Cost Savings: Measurable operational expenditure reduction across four regional departments.

Facing a Similar Challenge in Utility Operations?

Let's talk about how multi-agent AI and workflow orchestration can modernize your customer service, dispatch, and compliance operations.