Most utility systems were not designed to run AI inside core systems.
Operational logic is hard-coded across ERP, CIS, workflows, integrations, and custom systems. Billing rules, disconnect policies, jurisdiction requirements, and operational procedures are buried in systems that are expensive to change and difficult to validate.
This infographic explains why the AI-native architecture for utilities powered by Gigawatt — ANA — was built to solve that problem.
Why utilities struggle to scale AI
Legacy utility architectures were not designed for continuous AI-driven operational execution.
Hard-coded logic slows operational change
Simple workflow updates often require code changes across enterprise systems.
External AI lacks operational context
AI outside the platform cannot reliably interpret utility workflows and rules.
Integration layers increase security exposure
Many AI architectures require broad external access into enterprise systems.
Buried logic limits execution
Operational rules remain trapped inside systems AI cannot reliably operate against.
How ANA operationalizes utility intelligence
ANA puts AI at the center of utility execution through governed workflows, centralized Intelligence Services, and configurable logic.
- Centralized Intelligence: Logic and intelligence operate through configurable shared Intelligence Services.
- Embedded AI: AI participates every step of the way, across workflows, decision-making, and operational execution.
- Secure Utility Data Fabric: ANA accesses PDFs, images, JSON, voice, and enterprise data.
- Governed Execution: Actions remain traceable, auditable, and aligned to utility rules.
- Configurable Logic: Rules can be changed without rebuilding hard-coded workflows.
- Continuous Learning: Operational knowledge strengthens the AI over time.
How ANA changes AI execution
ANA enables AI to operate within utility workflows, not outside systems.
| Traditional AI architectures | ANA powered by Gigawatt |
| AI operates on top of | AI operates inside of |
| Hard-coded utility logic | Configurable operational intelligence |
| Custom code for every change | Configuration |
| AI decisions outside the data path | AI decisions in the data path |
| Fragmented operational context | Governed operational context |
| Broad external system access | Governed platform and data access |
| Multiple orchestration layers | Unified intelligence and orchestration |
| Generic AI models | Utility-native intents, intelligence and workflows |
| Evidence created after execution | Audit-ready evidence built into execution |
| AI outside peaking in | Embedded AI |
What ANA improves across operations
ANA enables scalable utility modernization through centralized intelligence and configurable workflows.
- 2,178+ referrals: Assistance agencies directly accessible through integrated referral workflows
- 80%+ faster: Bill analysis workflows reduced from 15–30 minutes to 3–5 minutes
- 3–5 minutes per call saved: AI-generated summaries reduce manual call summary work
Where ANA creates operational value
ANA is designed for workflows where customer service, utility rules, and compliance decisions have to operate together.
- Billing analysis
- Payment assistance
- Disconnect prevention
- Call summaries
- Regulatory knowledge
- Field service coordination
- Payment exceptions
- Tariff eligibility
- Assistance Agency referrals
Built for governed utility modernization
Gigawatt designed ANA to help utilities modernize without ERP or CIS replacement. Intelligence stays centralized. Logic stays configurable. AI stays governed inside the platform.
Book a demo to evaluate how ANA operationalizes AI across regulated utility environments.