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NiSource AI Adoption Tracker

Last updated: September 18, 2026

2.7 Developing

Overview

NiSource is positioning itself as a leader in digital transformation within the energy sector, leveraging artificial intelligence across multiple business functions to enhance operational efficiency, customer experience, and grid modernization [1][2]. The company has implemented AI-driven systems for predictive maintenance, customer service optimization, and demand forecasting as part of its comprehensive digital strategy [3][4]. CIO Waco Bankston has emphasized that true digital transformation requires more than implementing new technologies - it necessitates a fundamental shift in mindset at every level of the organization [5]. The company is using AI technologies within its Safety Management System (SMS) to enhance risk assessment and operational excellence, including probabilistic risk assessment models and advanced data analytics [6][7].

AI Maturity Index

2.7 /5 Explorer

Evidence medium

  • AI chatbots deployed for customer service, predictive maintenance systems in use [news]

Missing Evidence

  • Low AI mention rate in job postings (3.5%)
  • Limited evidence of organization-wide AI deployment

Evidence medium

  • CIO Waco Bankston discusses AI transformation strategy publicly and in earnings calls [corporate]

Missing Evidence

  • Limited AI fluency in non-tech hiring (3.3%)
  • No evidence of formal AI training programs

Evidence high

  • Over 20% field productivity improvement from AI work management initiatives [news]

Missing Evidence

  • Limited evidence of sustained multi-quarter AI impact metrics

Radar Comparison

Company Sector Avg

Peer Comparison: NiSource vs utilities

Based on 32 companies in sector

Dimension NiSource Sector Avg Diff
Adoption 2.0 3.1 -1.1
Proficiency 3.0 2.7 +0.3
Impact 3.0 3.4 -0.4
Overall 2.7 3.1 -0.4

AI Hiring Signals

NiSource Job Postings Analysis

3.5%
AI Mention Rate
85
Jobs Sampled
3
AI-Related Jobs
High Confidence
Data Quality

Tech vs Non-Tech AI Requirements

Tech Roles (Engineering/Data) 4.2%
Non-Tech Roles 3.3%

Top Departments by AI Mention Rate

Marketing
14.3%
Sales
11.1%
Engineering/Tech
7.7%

Analysis

AI skills adoption is minimal at NiSource with only 3.5% of job postings mentioning AI. Surprisingly, non-tech roles show nearly equivalent AI mention rates (3.3%) compared to tech roles (4.2%), suggesting AI is not yet deeply embedded in the organization's hiring strategy despite operational AI initiatives.

View Sample Job Postings (6 sources)

Key Metrics

Over 20%
Field Productivity Improvement
Source: https://www.theglobeandmail.com/investing/markets/stocks/NI/pressreleases/35768460/nisource-ni-q3-2025-earnings-call-transcript/
3
AI Initiatives
Source: Larridin Analysis

AI Initiatives

1

AI Work Management System

2024

Active

AI-driven data and analytics system to boost productivity and efficiency in dispatch operations

System leverages artificial intelligence to improve field productivity by over 20% as reported in Q3 2025 earnings. NiSource plans to expand AI capabilities into additional high-value areas for further efficiency gains.

Frequently Asked Questions

NiSource has deployed AI-powered chatbots and live chat systems that provide 24/7 customer support, helping with payment plan enrollment, usage viewing, outage reporting, and bill inquiries. The company has also implemented a digital self-service platform to reduce call center volume.

NiSource reported over 20% field productivity improvements from its AI work management initiatives as of Q3 2025, with plans to expand AI capabilities into additional high-value operational areas.

The company integrates AI technologies into its Safety Management System, using probabilistic risk assessment models and advanced data analytics for equipment monitoring, risk assessment, and predictive maintenance across its gas and electric infrastructure.

NiSource's strategy focuses on implementing modern, integrated platforms for field operations, smart infrastructure like advanced metering technology, and AI-driven systems while emphasizing that transformation requires cultural and mindset changes throughout the organization.

In Application

ApplicationVendorUse Case
AI ChatbotsSEWCustomer service automation for enrollment in payment plans, usage viewing, outage reporting, and bill inquiries
Predictive Maintenance AINot specifiedEquipment failure prediction and maintenance optimization to reduce downtime and costs
Probabilistic Risk Assessment ModelsNot specifiedRisk-informed decision-making across gas transmission, distribution, measurement and regulation, cross-bore, and damage prevention

Sources

Related Companies

About AI Tracker

AI Tracker is a research project by Larridin, the AI execution intelligence platform.

Methodology: We analyze earnings calls, press releases, partnership announcements, and product documentation. All assessments are based solely on publicly available information—no private customer data is used.

Maturity Scoring: Each dimension is rated on a 4-tier scale (Nascent → Emerging → Scaling → Leading) based on evidence from public sources. Industry averages are computed as the median across all tracked companies in the sector.

Update cadence: Every 2-3 weeks
Last updated: September 18, 2026