The modern utility must balance reliability, affordability and the net-zero transition — while remaking customer expectations and defending critical OT infrastructure.
of customer service leaders plan to explore or pilot a customer-facing conversational GenAI solution in 2025.
Source: Gartner
of water distribution companies will have operationalized multispectral satellite imaging and AI-powered computer vision, improving the efficacy of leak detection by a factor of seven by 2026.
Source: IDC
of utilities will implement digital twins, improving asset optimization of power grids, decreasing unplanned outages by 30%, and supporting simulations for network expansion by 2027.
Source: IDC
These trends mean E&U leaders need customer platforms that create trusted experiences, asset strategies that move from reactive to predictive, and secure, scalable architectures for AI and OT.
We deliver an integrated portfolio that connects customer experience, asset performance, remote inspection, AI infrastructure, OT security and managed services — enabling measurable reductions in cost, downtime and energy use while improving customer trust and regulatory readiness.
Aging networks and constrained O&M budgets demand an Asset Performance Management approach that combines field reality, IoT automation and predictive analytics. We implement Hexagon/enterprise asset frameworks, integrate sensor data and apply analytics to prioritize work, extend asset lifecycle and reduce unplanned outages. Outcomes: lower operational cost, less downtime, CAPEX Investment planning.
Customers expect seamless online account journeys, proactive outage communications and self-service that actually works. We design and deliver Utilities Customer Services Platforms that unify CIS/CPS functions, omni-channel engagement, customer data platforms and AI-assisted agent workspaces — so your teams can reduce contact volumes, raise first-time resolution, and deliver more intuitive customer services.
Drones, mobile inspection, and computer vision replace risky climb inspections and generate high-quality data for prioritization and creating digital twin of your facilities. We build end-to-end remote inspection programs: flight planning and fleet management, AI image analysis, automated work orders, and integration with EAM/CMMS. The result: faster detection, safer crews and higher TAT for operations.
AI projects fail when infrastructure and operations aren’t production-grade. We design cloud-native GPU clusters, hybrid data fabrics, and MLOps pipelines built for utilities’ scale and governance needs — enabling use cases from load forecasting and predictive maintenance to DER orchestration. This includes drift detection, retraining automation, and cost controls for large model workloads. Industry moves and investments also make AI infrastructure a strategic energy & capacity consideration.
OT environments are increasingly targeted and require a security approach that understands physical risk, control systems and safety constraints. We deploy framework-based OT security: asset discovery, network segmentation, continuous monitoring, secure remote access and incident playbooks — all aligned to industry standards and ICS safety practices.
We operate hybrid managed services that combine local domain teams with centralized NOC/SOC and service-delivery automation. That reduces mean-time-to-repair, provides 24/7 operational coverage, and packages predictable OPEX for network, cloud, AI and field services. Managed services lower risk, accelerate modernization, and free leaders to focus on strategy.
Targets we commonly help clients approach (project and context dependent).
