Digital & Data Driven Utilities

Missing Link supports utilities in translating digital ambition into measurable results. We guide and execute digital transformation initiatives by aligning technology choices with real operational needs, avoiding isolated IT solutions. Early data and AI readiness assessments clarify capabilities and constraints before advanced initiatives are launched. Through structured opportunity discovery, we focus efforts on use cases with realistic impact and delivery potential. Phased AI roadmaps enable controlled adoption and clear value tracking. This approach helps utilities build digital capability while maintaining control over complexity, cost, and risk.

• Digital Transformation Strategy & Execution

We help utilities define and execute digital transformation programs that align IT, OT, and business objectives. This includes digital roadmaps, governance models, and execution support across multiple initiatives. For example, aligning AMI, GIS, CIS, and WFM transformations into one coherent program. Digital initiatives become coordinated enablers of operational performance rather than isolated projects.

• Data & AI Readiness Assessment

We assess data quality, system integration, governance, and organizational maturity to determine readiness for analytics and AI. Typical assessments cover MDM data completeness, event data reliability, and process readiness for automation. Utilities obtain a realistic view of what AI can deliver today versus what requires foundational work first. This prevents failed pilots and unmet expectations.

• Opportunity Discovery & Use Case Prioritization

We identify high‑value digital and AI use cases across operations, customer service, and asset management. Examples include automated leak detection, installation quality verification, and proactive customer communication. Use cases are ranked using value‑versus‑effort scoring to focus resources where impact is highest. This keeps innovation targeted and results‑driven.

• AI Roadmap & Value Realization

We define phased AI roadmaps that move from pilots to scaled solutions, with governance and KPIs built in. For instance, starting with AI-based installation QA before expanding into predictive maintenance or demand forecasting. Each step includes clear success metrics and decision gates. AI adoption remains controlled, transparent, and value oriented.