AI Agentic Workflow for Managing Customer Interconnection Requests for Solar/Storage

Manual interconnection reviews create a 60-120 day backlog, delaying customer projects and utility revenue. A custom agentic workflow validates applications, checks technical feasibility against grid models, and routes packages in hours, not weeks. This directly accelerates the connection of new, billable assets (solar, storage, EVs) to the grid, turning the interconnection queue from a cost center into a faster revenue pipeline.

Utility engineers and coordinators waste hours daily on repetitive tasks: transcribing PDF forms, looking up feeder capacity in separate GIS/OMS systems, and emailing incomplete applications back to customers. An orchestrated workflow uses document AI for extraction, agents for validation against live grid models, and automated ticketing in systems like SAP or ServiceNow. This reallocates high-cost engineering labor to strategic grid planning and complex edge cases.

Incomplete or incorrect applications cause multiple review cycles, requiring engineers to re-open cases and request missing data. A pre-submission agent guides customers interactively, validating site plans, equipment specs, and electrical diagrams against utility standards before formal submission. This front-end validation cuts rework by over 90%, protecting engineering capacity and preventing project delays that damage customer satisfaction.

The workflow creates a structured, queryable data asset from every interconnection request. By aggregating geolocated, time-stamped DER data, utility planners gain real-time visibility into localized grid saturation. This feeds directly into hosting capacity analyses and proactive infrastructure upgrade planning, preventing costly, reactive grid reinforcements and supporting more reliable, higher-capacity growth.

Manual processes risk missing regulatory deadlines (e.g., FERC Order 2222 timelines) or approving non-compliant systems. The workflow embeds rule engines that check applications against current tariffs, IEEE 1547 standards, and local jurisdiction codes. It automatically generates compliant interconnection agreements and audit trails, reducing regulatory exposure and ensuring consistent, defensible decision-making.

As incentive programs (e.g., IRA-driven) surge demand, manual processes collapse. This custom architecture, built on frameworks like LangGraph or CrewAI, scales elastically. It allows the utility to launch new DER tariffs or community solar programs without linearly increasing staff. The system becomes a growth platform, enabling the utility to capture more market share and manage a portfolio of distributed assets efficiently.

This agent acts as the customer-facing interface, guiding applicants through form completion via chat or a web portal. It validates entries in real-time against utility requirements (e.g., correct meter numbers, site plans), requests missing documents, and performs initial sanity checks on system size and configuration. It integrates with the Customer Information System (CIS) to pre-populate customer data and creates a structured application package for downstream processing.

A rules-based agent that queries the Distribution Management System (DMS) and Geographic Information System (GIS) to perform an automated preliminary screen. It checks for available hosting capacity on the local feeder, reviews nearby transformer ratings, and flags potential grid upgrade requirements. This agent surfaces 'fast-track' approvals for straightforward cases and routes complex applications requiring engineering studies to the appropriate queue, preventing manual review of non-viable requests.

For applications requiring detailed analysis, this orchestrator agent manages the end-to-end study workflow. It triggers specialized power flow and impact studies in tools like CYME or OpenDSS, compiles results, and drafts the required Interconnection Agreement and supplemental documents. It routes the completed package to a human engineer for final approval and signature, handling all data handoffs between simulation software, document management systems, and the engineer's review dashboard.

This agent manages all compliance and communication timelines. It automatically sends application acknowledgments, status updates, and deadline notices to the customer. Internally, it notifies field inspection teams, metering departments, and billing operations when an application moves to the 'approved for construction' phase, ensuring downstream readiness. It integrates with email, SMS, and internal work order systems to eliminate coordination gaps that cause project delays.

A critical control plane that monitors the entire workflow for anomalies—missing studies, conflicting data, customer appeals, or regulatory queries. It classifies exception severity, routes them to the correct human role (e.g., senior engineer, regulatory specialist, customer service lead) with full context, and ensures SLAs are tracked. This layer preserves auditability and human oversight for non-standard cases while keeping the automated flow efficient for the majority.

Not an agent, but a required component built into the architecture. This system ingests telemetry from all agents and process steps to provide real-time visibility into queue lengths, average processing time, engineer workload, and bottleneck identification. It generates automated reports on cycle time, approval rates, and cost-per-application for management, turning the automated workflow into a continuously improvable operational asset.