Utilities have lost significant ground over the past 15 years in core customer and operational systems. Much of the industry is managing unprecedented change with software built for a different operating era. As customer expectations, large-load growth, distributed energy resources, regulatory demands, and AI capabilities accelerate, the gap between what utilities need and what core systems can support continues to widen.
The current modernization path compounds that gap.
Conventional ERP and CIS replacements can take years to plan, implement, and stabilize. Horizontal AI tools often lack the utility-specific data context, governance, and workflow integration required for operational scale. Without a different path, customer and operational expectations will continue to advance faster than core-system capability, delaying AI adoption across essential utility workflows.
Gigawatt is designed to address the conditions that keep this gap in place:
- Customer and operational software built for a different operating era
- Fragmented data across CIS, billing, MDM, finance, and grid systems
- Hard-coded logic that slows policy, workflow, and customer-experience changes
- Multi-year replacement programs that delay measurable value
- Horizontal AI tools without utility-specific controls or operational context
- Pressure to demonstrate ROI, auditability, and operational accountability
Gigawatt was created to close this gap by showing how modular AI solves urgent operational problems while strengthening the data, integration, governance, and performance capabilities required for broader modernization.
Why regulated utilities need a new modernization path
The gap is not caused by a lack of modernization effort. It is reinforced by the time and capital required to replace complex systems of record. While multi-year programs advance, customer expectations, operational complexity, and available AI capabilities continue to move. Utilities need a path that improves priority workflows now while preserving the systems that remain authoritative.
The limits of legacy technology in a rapidly shifting landscape
Many utilities still rely on core customer and operational software that is decades old and built for a different operating era. These systems remain essential, but hard-coded business logic, fragmented data, and accumulated integration layers constrain the pace at which utilities can improve workflows, adopt AI, and respond to changing requirements:
- Fragmented customer and operational data limits real-time visibility
- Hard-coded logic slows policy and workflow changes
- Middleware-heavy integrations require costly specialized support
- Core-system replacements require multi-year, capital-intensive commitments
- AI remains confined to isolated use cases without shared governance
These constraints do more than slow technology delivery. They delay operational improvements, extend dependency on specialized integration work, and make it harder to prove value within utility planning and regulatory cycles.
The operational reality for modern utilities
Across regulated utilities, leaders face a consistent set of strategic pressures:
- Improve reliability amid aging infrastructure and extreme weather
- Strengthen cybersecurity to counter advanced digital threats
- Enhance customer satisfaction and visibility
- Reduce cost-to-serve and automate regulatory reporting
- Build resilience across grid, billing, and customer operations
- Expand capacity for electrification and high-load digital infrastructure
These pressures are accelerating faster than traditional modernization cycles. Customer expectations, large-load growth, distributed energy resources, and real-time operating demands continue to advance while core-system change remains slow.
How current approaches compound the gap
Despite urgent modernization needs, utilities are constrained by three limiting paths:
- Monolithic ERP and CIS replacements: Multi-year, high-cost projects that frequently exceed budgets and timelines
- Horizontal AI and SaaS tools: Not built for utility-grade data, compliance, or operational nuance
- In-house modernization attempts: Ambitious but difficult to scale amid regulatory oversight and resource constraints
Utilities need an approach built for their data structures, operational workflows, regulatory obligations, and modernization constraints.
What makes Gigawatt purpose-built for regulated utilities
Gigawatt was created to help regulated utilities modernize one module at a time. Rather than replacing core systems, the suite connects with existing infrastructure and extends intelligence and workflow execution across priority operations.
A purpose-built approach for energy transformation
Gigawatt’s mission is to help regulated utilities move beyond the constraints of outdated systems and apply AI through controlled, accountable workflows. Modernization should not require a decade of disruption or dependence on a monolithic vendor.
Gigawatt is shaped by five core commitments:
- Rapid deployment: Deploy focused modules in weeks, not years
- Integration: Connect with existing CIS, ERP, MDM, SCADA, and grid systems
- Data control: Utilities retain ownership and control of their operational data
- Governance: Apply controls, auditability, and performance monitoring across deployments
- Modular expansion: Extend the suite as each deployment proves value
This approach turns modernization from a single large initiative into a series of controlled deployments that can demonstrate value before broader expansion.
An architecture designed for governed utility AI
Gigawatt’s shared platform capabilities connect data, intelligence, workflow execution, and governance across the suite:
- Data Foundation: Connects and contextualizes data from existing utility systems
- Intelligence & Automation: Applies models, agents, and workflow automation within defined authority boundaries
- Deployment & Control: Supports secure deployment, testing, monitoring, and operational control
- Governance & Performance: Provides auditability, decision controls, performance measurement, and ROI validation
- Integration: Connects the suite with CIS, ERP, MDM, SCADA, AMI, and other existing systems
These shared capabilities allow utilities to deploy modular solutions without replacing the systems that remain authoritative.
How Gigawatt supports modular modernization
Utilities can begin with one priority workflow rather than committing to an enterprise-wide transformation. Gigawatt provides a modular path that establishes measurable outcomes, strengthens shared capabilities, and supports controlled expansion over time.
Deploy a focused module in weeks
Each module addresses a defined set of regulated utility workflows:
- Customer: Improves customer service, resolution, communication, and engagement
- Revenue: Strengthens billing accuracy, revenue assurance, tariff intelligence, and collections
- Service: Coordinates work orders, scheduling, field execution, and safety
- Power: Supports outage, asset, reliability, and grid-performance decisions
- Market: Manages market onboarding, testing, EDI, switching, and settlement workflows
Every module uses the suite’s shared capabilities, allowing each deployment to strengthen data consistency, controls, and interoperability for subsequent expansion.
Demonstrate value through measurable outcomes
Each deployment should be evaluated against defined operational, financial, customer, and regulatory measures, including:
- Faster recovery of modernization investments
- Lower cost-to-serve and reduced operational overhead
- Shorter outage durations and more effective workforce utilization
- Higher billing accuracy and fewer customer disputes
- Improved customer outcomes and regulatory performance
These measures give utility leaders an accountable basis for deciding when and where to expand.
Expand after value is proven
Once the first module demonstrates value, utilities can expand through a controlled sequence:
- Deploy a focused module
- Connect required data through shared platform capabilities
- Add modules using established integration patterns
- Extend intelligence and automation across connected workflows
This sequence reduces delivery risk, strengthens alignment across teams, and creates a repeatable modernization path.
Scale AI across connected workflows
As utilities adopt additional modules, they can extend governed intelligence and workflow execution across connected operations:
- Start with one priority module
- Strengthen data and integration foundations
- Add governed intelligence and automation
- Embed intelligence into accountable operational workflows
- Measure performance and expand across the suite
This progression supports resilience and performance while keeping expansion tied to operational ownership, governance, and measurable results.
How Gigawatt supports utility modernization
Gigawatt was engineered for regulated utilities. Its architecture, security, deployment model, and data capabilities reflect the requirements of mission-critical operations and accountable modernization.
AI-native architecture built for utility environments
Gigawatt is AI-native by design. The suite connects and interprets utility data, applies intelligence within defined authority boundaries, and supports actions through controlled workflows.
Governance and auditability built into the suite
Zero-trust design, immutable backups, audit trails, and mapped controls support security, auditability, and alignment with applicable regulatory requirements.
Utility experience informing suite design
The suite is informed by experience in industrial AI, utility modernization, and high-security environments.
Automation supporting faster deployment
Automated code analysis, semantic mapping, and deployment pipelines reduce manual effort across integration, testing, and release management.
Modernization without unnecessary vendor lock-in
Utilities retain ownership and control of their data while preserving flexibility across existing systems, integrations, and future modernization decisions.
How Gigawatt supports utility functions
Gigawatt connects modernization priorities across utility functions through shared data, intelligence, workflow execution, governance, and performance measurement.
Executive Management
Defined performance measures, regulatory visibility, customer outcomes, and investment accountability support modernization decisions.
Operations
Better visibility into grid conditions, asset risk, outage response, and operational performance supports reliability and resilience.
Call Center
AI-assisted service helps teams improve resolution speed, information accuracy, and customer communication across channels.
Information Technology
Modular architecture, existing-system integration, security controls, and auditability help limit technical debt and modernization risk.
Digital Transformation
Modular adoption supports phased transformation while preserving data control and clear integration boundaries.
Corporate Strategy
Connected operational insight, aligned priorities, and measurable outcomes support long-term planning and investment decisions.
Billing & CIS
Anomaly detection, workflow automation, and traceable decisions can improve billing accuracy and reduce customer disputes.
Customer Service
Faster resolution, clearer information, and proactive communication can improve customer outcomes and regulatory performance.
Finance
Connected financial and operational data, improved forecasting, and outcome measurement support capital accountability.
Regulatory & Compliance
Traceable workflows, audit-ready documentation, and reporting automation strengthen oversight and regulatory readiness.
Across leadership and operations, the suite connects data, intelligence, and accountable workflows so modernization decisions remain tied to measurable performance.
Gigawatt provides a modular path to utility modernization
Regulated utilities need to modernize as operational complexity, regulatory expectations, and large-load growth place new demands on existing systems. Gigawatt provides an AI-native suite of modular solutions that can be deployed around priority workflows, measured against defined outcomes, and expanded without requiring ERP or CIS replacement.
Gigawatt’s modular approach allows utilities to modernize without displacing the systems that remain authoritative. Each deployment can address a defined operational need while establishing the data, integration, governance, workflow ownership, and performance measures required for responsible expansion across the suite.
Ready to modernize utility operations with modular AI? Start your AI-powered modernization journey with Gigawatt today.