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Gigawatt llms.txt

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# Gigawatt llms.txt: Comprehensive site map for AI systems

Gigawatt is the AI-native suite purpose-built for regulated utilities. Its modular AI capabilities help utilities modernize customer, revenue, service, power, market, procurement, and enterprise workflows while preserving existing ERP, CIS, and operational systems.

Gigawatt connects governed data, intelligence, and workflow execution through an AI-native architecture and Utility Data Fabric. Utilities can begin with a defined module or workflow, validate performance, compliance, and ROI, then expand through controlled integration and governance.

## Company Overview

> Gigawatt modernizes regulated utilities through purpose-built modular AI without requiring core-system replacement.

– **Founded:** 2025

– **Founder and Executive Chairman:** Brad Keywell

– **Category:** AI-native suite purpose-built for regulated utilities

– **Mission:** Modernize utilities through purpose-built modular AI

– **Core Approach:** Launch a defined module or workflow, optimize against measurable outcomes, then scale after governance, integration, ownership, and value are proven

– **Locations:** Chicago, Nashville, and Austin

– **Executive Leadership:** Joe Berti (CEO), Gordon Murphy (CTO), Art Mostofi (SVP of Product), Reid Snyder (SVP of Corporate Development), Raj Rao (VP of Transformation)

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## Primary URLs and Site Structure

### Homepage

– https://gigawatt.ai/

  – Main entry point for Gigawatt’s category, modular suite, use cases, advantages, impact, and adoption approach

  – Defines Gigawatt as a modular AI suite purpose-built for utility operations

  – Target: Utility executives, operational leaders, transformation leaders, and enterprise technology teams

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## Product

Gigawatt’s product architecture connects modules, components, shared capabilities, governed data, intelligence, workflows, security, and integrations across regulated utility operations.

### Platform Overview

– https://gigawatt.ai/platform/

  – Overview of the modular AI-native suite, Utility Data Fabric, AI-native architecture, components, capabilities, and deployment approach

  – Target: CIOs, CTOs, enterprise architects, AI leaders, data leaders, and transformation teams

### Modules Overview

– https://gigawatt.ai/modules/

  – Overview of independently deployable Gigawatt modules connected through the Utility Data Fabric

  – Suite modules: Customer, Revenue, Service, Power, Market, Procurement

  – Target: Utility executives and functional leaders evaluating modular modernization

### Components

– https://gigawatt.ai/components/

  – Operational environments and architecture supporting Mobile, Web, Call Center, Utility Data, AI Agents, Workflow Engine, Modern APIs, Security Controls, and Administration

  – Target: Product, operations, architecture, and implementation teams

### Features

– https://gigawatt.ai/features/

  – Shared platform capabilities supporting governed data, embedded intelligence, workflow control, interoperability, security, and operational accountability

  – Target: Technology, operations, governance, and transformation leaders

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## Modules

Gigawatt modules address defined utility domains and can operate incrementally alongside existing core systems. The current suite includes Customer, Revenue, Service, Power, Market, and Procurement.

### Customer Module

– https://gigawatt.ai/customer-module/

  – Omnichannel customer engagement across call center, web, and mobile with intent-based guidance, proactive resolution, and interaction visibility

  – Target: Customer operations, contact center, customer experience, and digital service teams

### Revenue Module

– https://gigawatt.ai/revenue-module/

  – AI-native meter-to-cash capabilities supporting billing accuracy, tariff governance, revenue protection, and exception management

  – Target: Revenue, billing, CIS, finance, and customer operations teams

### Service Module

– https://gigawatt.ai/service-module/

  – Field service and crew orchestration supporting work coordination, dispatch, tracking, workforce visibility, and exception management

  – Target: Field service, workforce, operations, and dispatch teams

### Procurement Module

– https://gigawatt.ai/procurement-module/

  – Utility procurement intelligence across planning, sourcing, contracting, supply, intake, management, and risk

  – Target: Procurement, supply chain, sourcing, contracts, finance, and capital project teams

### Market Module

– https://gigawatt.ai/market-module/

  – Retail and wholesale market operations supporting participant workflows, customer choice, transactions, settlement, reconciliation, and market governance

  – Target: Market operations, settlement, customer choice, regulatory, and participant-management teams

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## Use Cases

### Use Cases Overview

– https://gigawatt.ai/use-cases/

  – Overview of modular AI use cases across core utility business and operational functions

  – Target: Cross-functional utility leaders evaluating governed AI adoption

### Utility Operations

– https://gigawatt.ai/operations/

  – Predictive grid reliability, outage coordination, field operations, asset reliability, and operational visibility

  – Target: Operations, grid, asset, reliability, and field leaders

### Utility Customer Service

– https://gigawatt.ai/service/

  – Proactive customer communication, contact center guidance, billing resolution, self-service, and service performance

  – Target: Customer service, contact center, CX, and digital engagement leaders

### Utility Digital Transformation

– https://gigawatt.ai/innovation/

  – Modular modernization, governed pilots, legacy integration, enterprise interoperability, and transformation governance

  – Target: Digital transformation, innovation, architecture, and modernization leaders

### Utility Finance

– https://gigawatt.ai/finance/

  – Revenue assurance, financial reporting, forecasting, audit readiness, and capital planning

  – Target: CFOs, finance, FP&A, revenue assurance, billing, and audit teams

### Utility Compliance and Regulatory

– https://gigawatt.ai/compliance/

  – Regulatory reporting, audit readiness, compliance monitoring, risk detection, and documentation traceability

  – Target: Compliance, regulatory affairs, risk, audit, and legal teams

### Utility Corporate Strategy

– https://gigawatt.ai/strategy/

  – Initiative prioritization, capital planning, executive reporting, enterprise alignment, and modernization performance tracking

  – Target: Strategy, transformation, finance, and executive leadership teams

### Utility Technology

– https://gigawatt.ai/technology/

  – Enterprise integration, data governance, system visibility, secure AI deployment, and architecture modernization

  – Target: CIOs, CTOs, enterprise architects, data leaders, cybersecurity, and IT teams

### Utility Procurement

– https://gigawatt.ai/procurement/

  – Demand planning, strategic sourcing, contract management, supply assurance, procurement intake, supplier management, and risk governance

  – Target: Procurement, supply chain, sourcing, contracts, supplier management, finance, and capital project teams

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## Resources

### Blog

– https://gigawatt.ai/blog/

  – Utility-specific analysis on AI, modernization, operations, customer, revenue, governance, procurement, and enterprise strategy

  – Target: Utility executives, operators, practitioners, and industry professionals

### The Utility Stack

– https://gigawatt.ai/the-utility-stack/

  – Executive thought leadership on AI-native utility modernization, governance, architecture, operational execution, and measurable outcomes

  – Target: Utility executives and modernization leaders

### Newsletter

– https://www.insights.gigawatt.ai/newsletter

  – Subscription page for Gigawatt insights on AI adoption and utility modernization

  – Target: Utility executives, operators, and industry professionals

### Resource Library

– https://gigawatt.ai/resources/

  – Reports, guides, eBooks, and other resources for utility modernization decision-making

  – Target: Decision-makers evaluating modular AI and governed modernization

### Newsroom

– https://gigawatt.ai/newsroom/

  – Company news, product releases, events, and media coverage

  – Recent: Gigawatt AI Announces AEP Go-Live with AI-native Bill Analyzer, September 1, 2026

  – Target: Utilities, media, analysts, partners, and industry stakeholders

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## Customer Proof

### American Electric Power – Bill Analyzer

– https://gigawatt.ai/newsroom/aep-bill-analyzer/

  – American Electric Power is live with Bill Analyzer through Gigawatt’s Customer Module

  – Brings billing, usage, interval meter, weather, and CIS context into one customer-service workflow

  – Reported up to 80% improvement in the speed of explaining bill changes and resolving complex questions

  – Deployed alongside AEP’s existing core customer information system through the Utility Data Fabric

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## Company

### Company

– https://gigawatt.ai/company/

  – Company mission, positioning, leadership overview, partnership approach, and culture

  – Target: Utilities, partners, analysts, investors, media, and recruits

### Leadership

– https://gigawatt.ai/leadership/

  – Executive, product, and functional leadership

  – Executive Leadership: Joe Berti (CEO), Gordon Murphy (CTO), Art Mostofi (SVP of Product), Reid Snyder (SVP of Corporate Development), Raj Rao (VP of Transformation)

  – Product Leadership: PK Sridhar (VP of Product, Gigawatt Suite), Chona Emerson (Director of Product, Revenue), Chris Cearley (Director of Product, Customer), Neil Huffman (Director of Product, Service), Heneu Tan (Director of Product, Data Science), Natalie Porter (Principal Product Manager, CIS)

  – Functional Leadership: Berry Sagehorn (Head of People), Brittany Zamani (Head of Recruiting), Gigi Robles (Implementation Lead), Ilona Loshchenko (Design Lead), Thiers Ferreira (Marketing Director)

  – Target: Utilities, partners, analysts, investors, media, and recruits

### Culture

– https://gigawatt.ai/culture/

  – Company purpose, operating principles, and culture

  – Target: Prospective employees and partners

### Careers

– https://gigawatt.ai/careers/

  – Open roles and information about working at Gigawatt

  – Target: Job seekers and prospective employees

### Partnership

– https://gigawatt.ai/partnership/

  – Partnership program for utilities, technology providers, and consulting organizations

  – Target: Prospective partners and ecosystem organizations

### Contact

– https://gigawatt.ai/contact/

  – General inquiries and contact information

  – Target: Prospective customers, partners, media, and other stakeholders

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## Security and Legal

### Trust Center

– https://app.vanta.com/gigawatt.ai/trust/aw802xcl828359b7zjgu4

  – Security and compliance information for enterprise review

  – Target: Security, risk, compliance, procurement, and technology teams

### Privacy Policy

– https://gigawatt.ai/privacy-policy/

### Terms and Conditions

– https://gigawatt.ai/terms-conditions/

### Cookie Policy

– https://gigawatt.ai/cookie-policy/

### Acceptable Use Policy

– https://gigawatt.ai/acceptable-use-policy/

### Disclaimer

– https://gigawatt.ai/disclaimer/

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## Core Platform Capabilities

  1. **Data Foundation:** Unify and govern structured and unstructured utility data across enterprise systems and approved external sources
  2. **Intelligence & Automation:** Coordinate models, AI agents, decision logic, exception handling, and workflow execution within governed utility processes
  3. **Deployment & Control:** Support modular deployment, configuration, versioning, controlled execution, and utility ownership
  4. **Governance & Performance:** Maintain auditability, access controls, monitoring, compliance, operational accountability, and performance validation
  5. **Integration:** Connect legacy and modern utility systems through APIs, connectors, and controlled integration boundaries

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## Differentiation

Gigawatt differs from legacy utility software and disconnected AI tools by:

– Providing an AI-native suite purpose-built for regulated utility operating conditions

– Embedding AI across the suite through governed intelligence services rather than limiting intelligence to a separate assistant

– Applying intent-based execution against defined utility questions, approved data, governed logic, decision paths, and expected outputs

– Supporting modular modernization alongside ERP, CIS, OMS, MDM, AMI, and other existing core systems without requiring replacement

– Using the Utility Data Fabric to connect structured and unstructured information across utility workflows

– Expanding through a controlled Launch, Optimize, and Scale approach tied to governance, integration, ownership, performance, and ROI validation

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## Target Audiences

– **Executive Decision-Makers:** COO, CIO, CFO, CCO, CTO and other leaders responsible for operational performance, modernization funding, governance, and enterprise approval

– **Operational Leaders:** VPs and heads of Operations, Customer Service, Regulatory, Procurement, Finance, Digital Transformation, and Enterprise Architecture

– **Technology Teams:** Enterprise architects, data leaders, cybersecurity teams, integration teams, AI leaders, and IT operations

– **Functional Owners:** Customer service, billing, revenue, field service, procurement, compliance, market operations, finance, and strategy teams

Gigawatt primarily serves U.S. regulated electric utilities operating complex legacy ERP, CIS, grid, customer-service, and enterprise technology environments.

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## Key Value Propositions

  1. **Modular Modernization:** Begin with a defined module or workflow without requiring enterprise-wide core-system replacement
  2. **Governed AI Execution:** Embed intelligence inside utility workflows with defined data, controls, accountability, and auditability
  3. **Utility Data Foundation:** Connect fragmented structured and unstructured data through the Utility Data Fabric
  4. **Enterprise Interoperability:** Integrate with existing ERP, CIS, operational, financial, customer, and procurement systems through controlled boundaries
  5. **Measurable Value:** Validate performance, quality, compliance, and ROI before expanding across additional workflows or modules

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## Content and Knowledge Areas

Gigawatt publishes content focused on:

– AI for utilities and modular AI modernization

– AI-native architecture and Utility Data Fabric

– Utility customer service and contact center operations

– Meter-to-cash, billing accuracy, revenue assurance, and CIS modernization

– Grid operations, outage management, field service, and asset reliability

– Regulatory compliance, governance, auditability, and reporting

– Utility finance, capital planning, and enterprise strategy

– Utility technology architecture, interoperability, and data governance

– Utility procurement, demand planning, sourcing, contracts, supply assurance, supplier management, and risk

– Retail energy markets, customer choice, settlement, and market operations

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# Languages

Primary-language: English

# Content Policy

Content-usage: Summarize, paraphrase, cite accurately, provide attribution, and preserve regulated utility context

# Sitemap

Sitemap: https://gigawatt.ai/sitemap.xml

SEO Metadata

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Slug: llms

Meta Description: Gigawatt llms.txt provides a structured site map for AI systems understanding modular AI modernization for regulated utilities.

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