Electric, gas, water, grid, distribution, generation, customer, regulatory, field, asset, finance, and data leaders

Utilities data + AI transformation

Utilities need to modernize data and AI around reliability, affordability, grid transformation, field operations, regulatory evidence, and customer service while preserving safety and public trust. Infinitive connects the systems you already run to trusted data and AI so teams can improve outcomes without separating innovation from governance.

Discuss Utilities priorities Explore use cases

Speak the language of the business

Start from the operating model—not the model.

AMIDEROutage managementGrid reliabilityLoad forecastingAsset healthRate caseField serviceAffordability

We use the language, measures, controls, and workflows your teams already operate, then connect them to modern data and AI capabilities.

Trusted Enterprise AI

Five capabilities. One business outcome.

Every use case can draw from the same Infinitive capability model: Data Foundations to enable AI; Analytics + Decision Support powered by AI; Governance + Risk to trust AI; Agents + Automation driven by AI; and Adoption + Workforce Enablement to realize value.

01Data FoundationsTo enable AI 02Analytics + Decision SupportPowered by AI 03Governance + RiskTo trust your AI 04Agents + AutomationDriven by AI 05Adoption + WorkforceTo realize the value of AI

Customer / constituent journey

Use AI where it improves the experience and the economics.

AI becomes more valuable when the same governed data and decision logic follows the journey instead of being rebuilt channel by channel.

Connect

Improve service start, identity, meter, rate, and account setup.

Use

Provide timely usage, billing, outage, program, and efficiency insight.

Report issue

Triage outage, leak, service, billing, and safety requests with complete location and account context.

Restore / resolve

Coordinate crews, assets, customers, vendors, and communications during events.

Participate

Support DER, EV, demand response, efficiency, and affordability programs.

Plan

Use customer, grid, asset, demand, climate, and financial data for investment and regulatory decisions.

Employee journey

Give people better context, not another disconnected tool.

Infinitive redesigns the workflow so AI prepares evidence, finds patterns, and removes low-value effort while people stay accountable for judgment, exceptions, empathy, and business tradeoffs.

Grid / control room

Gets trusted situational awareness and explainable analytics without losing operational authority.

Field crew

Receives asset history, work context, map, procedure, parts, and customer-impact information.

Customer operations

Uses account, usage, outage, billing, program, and interaction context to resolve issues faster.

Regulatory / data

Maintains lineage, definitions, evidence, cost transparency, and governance for critical metrics.

In-depth use cases

Where data, Databricks, and AI can change the work.

These are not generic AI demos. Each use case starts with a recognizable operating problem, the data required to solve it, the role of AI, the human decision point, and the measures that determine whether value is real.

Use case 01

Outage prediction, response, and restoration intelligence

Utilities coordinate weather, grid telemetry, AMI, OMS, GIS, asset, crew, vegetation, and customer data during high-pressure events.

Trusted data on Databricks

Stream and unify outage, meter, device, weather, GIS, asset, crew, work, and customer data into an operational lakehouse.

AI at work

Predict likely impact, group outage signals, prioritize restoration, estimate affected customers, and generate situational summaries.

How Infinitive helps

Build near-real-time data pipelines, geospatial models, operations dashboards, AI summaries, and workflow integrations.

Human accountability

Grid operators and incident leaders retain switching, safety, restoration, and priority decisions.

Measures to improveSAIDI / SAIFI supportRestoration timeCrew coordinationCustomer communicationEvent visibility

Use case 02

AMI and load intelligence

Interval meter data can support forecasting, loss detection, rate analysis, service operations, and grid planning but is difficult to govern and activate at scale.

Trusted data on Databricks

Curate AMI, billing, weather, service point, transformer, feeder, rate, outage, and customer program data in scalable Databricks products.

AI at work

Forecast load, detect anomalies, identify usage patterns, explain demand changes, and segment customer or grid behavior.

How Infinitive helps

Design high-volume ingestion, aggregation, quality, semantic metrics, forecasting, and AI/BI experiences.

Human accountability

Planning, rates, and operations leaders retain decisions that affect service, pricing, and investment.

Measures to improveForecast accuracyData availabilityRevenue protectionPlanning insightAnalyst productivity

Use case 03

Grid asset health and predictive maintenance

Utilities manage aging assets with inspection, sensor, maintenance, fault, weather, load, manufacturer, and failure-history data across large geographies.

Trusted data on Databricks

Create governed asset-health data products across EAM, GIS, SCADA, sensor, inspection, image, work-order, and outage systems.

AI at work

Rank risk, detect degradation, summarize asset history, identify similar failures, and support inspection or replacement prioritization.

How Infinitive helps

Build asset data products, predictive models, geospatial analytics, and integration into maintenance and capital workflows.

Human accountability

Asset managers and engineers approve maintenance, replacement, and risk decisions.

Measures to improveFailure riskInspection productivityPreventive maintenanceCapital prioritizationReliability

Use case 04

DER, EV, and grid planning decision support

Distributed energy, storage, EVs, electrification, and changing load create new hosting-capacity and investment questions.

Trusted data on Databricks

Combine feeder, transformer, AMI, interconnection, DER, EV, forecast, weather, land, project, and cost data.

AI at work

Forecast adoption, identify constrained locations, compare scenarios, and explain investment or interconnection tradeoffs.

How Infinitive helps

Build planning data products, geospatial and scenario analytics, governance, and decision-support tools.

Human accountability

Planning and engineering teams retain interconnection, reliability, investment, and standards decisions.

Measures to improvePlanning cycle timeHosting capacity insightInterconnection backlogCapital efficiencyScenario transparency

Use case 05

Customer affordability and service intelligence

Customer operations must interpret usage, billing, arrears, programs, payment history, outages, service interactions, and eligibility for assistance.

Trusted data on Databricks

Create governed customer context across CIS, billing, AMI, payment, program, outage, CRM, and assistance data.

AI at work

Summarize account history, identify likely causes of bill changes, suggest approved programs, and route sensitive or safety-related cases.

How Infinitive helps

Build customer data products, service analytics, governed retrieval, and workflows that preserve privacy and policy controls.

Human accountability

Service agents and program staff retain eligibility, payment arrangement, complaint, and sensitive customer decisions.

Measures to improveFirst-contact resolutionRepeat callsProgram enrollmentCollections effectivenessCustomer satisfaction

Use case 06

Regulatory and rate-case evidence modernization

Rate cases and regulatory reporting require large volumes of financial, operational, asset, reliability, customer, and forecast evidence with reproducible calculations.

Trusted data on Databricks

Govern source data, metrics, assumptions, lineage, approvals, workpapers, and submitted evidence across functions.

AI at work

Retrieve supporting evidence, explain metric changes, compare filing versions, identify gaps, and accelerate response to data requests.

How Infinitive helps

Create governed regulatory data products, metric definitions, lineage, document intelligence, and review workflows.

Human accountability

Regulatory, finance, legal, and executive teams retain testimony, certification, and filing decisions.

Measures to improveData request responseWorkpaper reconciliationMetric consistencyFiling cycle timeAuditability

How Infinitive engages

Land with a focused need. Expand through demonstrated value.

Clients can enter at any stage. We do not require a multi-year transformation before value is visible; we connect the right capabilities to the immediate problem and scale only where the evidence supports it.

01Activate

Define a priority problem, establish trusted data, and demonstrate value through a focused engagement or POC.

02Productionize

Make the capability secure, reliable, governed, measurable, and useful in everyday operations.

03Scale

Extend proven value across teams, workflows, data domains, and business areas—only where evidence supports it.

Why Infinitive

Trust is part of the architecture and the operating model.

Infinitive combines data and AI delivery with governance, risk, transformation, and adoption so the same team can address the technical path and the organizational conditions that determine whether AI actually works in practice.

Build on enterprise reality

Connect core systems, controls, teams, and existing investments rather than designing a disconnected AI island.

Govern at design time

Data access, lineage, security, policy, auditability, cost, and human decision rights are defined before production.

Prove value before scale

Use a focused entry point with business measures so the next decision is based on evidence—not enthusiasm.

Keep people accountable

AI can automate preparation and pattern finding; people remain at judgment, exception, empathy, and accountability.

Utilities next step

Choose one workflow where better data and AI could change the outcome.

Bring the business owner, data/platform lead, and operating or risk leader. Infinitive will help frame the use case, required data, governance needs, human decision points, and the right Activate, Productionize, or Scale path.

Request a working session Why Infinitive