AI Implementation for Energy & Utilities in Conway, AR

Conway Corporation serves approximately 27,000 electric customers across Conway and adjacent service territory, operating as a non-profit corporate entity under charter from the City of Conway with a board-of-directors governance structure reporting to the Conway City Council. The corporation provides electric distribution, water utility service, wastewater service, and cable/broadband service to city residents and businesses. Wholesale power supply operates through arrangements with Arkansas Electric Cooperative Corporation (AECC) — an unusual arrangement where a municipal utility entity receives wholesale power through the state G&T cooperative.

The multi-service scope of Conway Corp is distinctive. Few US utility entities operate electric, water, wastewater, and broadband under a single corporate structure, and the integration patterns across these service lines create AI opportunities that single-service utilities don't have. Shared customer data, coordinated outage-communication across service lines, integrated customer-service workflows, and infrastructure-coordination analytics produce value that requires intentional scoping.

The Conway service area includes the University of Central Arkansas main campus, Hendrix College, Central Baptist College, Conway Regional Medical Center, manufacturing operations including Kimberly-Clark, and the established and growing residential base. The university-town customer-mix reality applies similar to Denton but at Conway Corp scale — semester-cycle occupancy patterns, institutional-customer load, and specific customer-service workflows supporting substantial student-rental customer turnover.

Arkansas PSC oversight applies to Conway Corp's electric operations. NERC CIP compliance applies where BES Cyber Assets trigger inventory thresholds. FERC applies at wholesale-market interaction points.

Central Arkansas weather exposure — tornado climatology, ice storms, severe convective-storm activity, and occasional summer-peak heat events — applies. The 2021 Uri-week event affected central Arkansas substantially. 2023 Arkansas tornado outbreak affected the region.

MSG is 442 miles from Conway on IH-10, IH-30, and IH-40 — roughly a 6.5-hour drive. We scope multi-day immersive onsite periods, direct flights into Little Rock National for sprint-critical windows since Conway is close to Little Rock, and tight async cadence.

High-leverage first AI builds for a Conway Corporation engagement reflect the multi-service utility reality and the specific Conway Corp operational context. Multi-service customer analytics — shared customer data patterns across electric, water, wastewater, and broadband service lines produce customer-service workflow AI that operates across traditional utility-silo boundaries. Coordinated outage-communication across service lines where operationally relevant. Customer-service routing that handles cross-service-line interactions.

For the electric-specific operational layer, standard utility AI patterns apply. OMS triage tuned for central-Arkansas storm event patterns — tornado, ice-storm, severe-convective-storm events. AMI analytics that exit MDMS and produce operational signal. Institutional-customer analytics for the three-university customer base.

Load forecasting that incorporates Conway's growth pattern and the university-student-cycle demographic influence. Member-communication AI at Conway Corp's service-relationship standards — the entity's non-profit corporate structure with customer ownership dynamics creates service-culture expectations that differ from both investor-owned and conventional-municipal patterns.

Document-grounded Q&A over Conway Corp operational procedures across all service lines, City of Conway ordinances affecting utility operations, Arkansas PSC orders, wholesale-market documentation including AECC relationship documentation, and NERC CIP procedures where applicable.

Integration against Conway Corp's stack follows standard discipline with respect for multi-service utility architecture. Electric operational systems, water SCADA, wastewater operations, broadband network operations each have their own operational-data systems that multi-service AI work integrates across appropriate boundaries. Retrieval and inference inside Conway Corp's VPC. Evaluation harnesses use real historical operational data including regional storm-event history. Deterministic fallbacks on operational decision support. Handoff documentation for Conway Corp's team plus board-facing and City Council-facing summary materials.

Multi-service municipal utility AI operates under multiple regulatory frameworks simultaneously. Arkansas PSC oversight applies to electric operations with cooperative-style rate structure given Conway Corp's wholesale-power-supply relationship with AECC. Water and wastewater operations operate under Arkansas Department of Health and Arkansas Department of Environmental Quality oversight. Broadband operations face FCC regulatory framework. The multi-service regulatory environment creates documentation complexity that pure electric-utility engagements don't face.

The Conway Corp governance structure — non-profit corporate entity with board-of-directors governance reporting to City Council — creates a specific scoping reality for AI investment documentation. Board review operates with mix of appointed technical expertise and municipal-governance context, and outcome documentation frames for that audience. Rate decisions surface through board action with City Council oversight, creating documentation cadence somewhere between a standard municipal utility council-direct pattern and a cooperative board-governance pattern.

NERC CIP compliance applies where BES Cyber Assets trigger inventory thresholds. FERC applies at wholesale-market interaction points.

The AECC wholesale-power-supply relationship adds regulatory dimension. Wholesale power supply through the state G&T cooperative affects capital-planning economics and market-exposure patterns in ways that differ from direct ERCOT-style or SPP-style market participation. AI analytics supporting wholesale-arrangement decision support operate inside this specific context.

MSG ships production software and has for a decade. ServiceStorm, MFGBase, LocalAISource. Operator experience.

We pattern-match on multi-service utility engagements as a specific scoping discipline through adjacent work. The Lafayette Utilities System engagement pattern — LUS operates electric, water, wastewater, and fiber — is close operational cousin to Conway Corp's structure, and the multi-service AI scoping discipline translates.

The 6.5-hour drive from Beaumont means we fly into Little Rock National for most sprint-critical visits since Conway is close to Little Rock. Multi-day immersive onsite periods. Remote cadence fills the gap.

We refuse scopes that don't ship. National-firm alternatives deliver advisory output at enterprise rates. Our alternative is one production system integrated with the real stack, documented for board review, Arkansas PSC review, and CIP audit where applicable, owned by Conway Corp's team at month 18.