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Energy
28 Jul 2026

AI Architecture in Energy: Conversational ops — how Ørsted and peers deploy it

By Andy Koh

Andy Koh — AI Architecture in Energy: Conversational ops — how Ørsted and peers deploy it

A practical look at conversational ops for the energy sector. Architecture notes: WhatsApp / web agents grounded on RAG over SOPs and catalogs. Benchmarks and operators often referenced: Ørsted, NextEra.

A practical look at conversational ops for the energy sector. Architecture notes: WhatsApp / web agents grounded on RAG over SOPs and catalogs. Benchmarks and operators often referenced: Ørsted, NextEra.

Industry context. AI grid optimization, renewables forecasting, and energy ops.

Reference architecture. WhatsApp / web agents grounded on RAG over SOPs and catalogs. Typical layers: ingestion connectors, feature/model services, policy & evaluation gates, human approval, and deploy surfaces (dashboard, WhatsApp, ERP, CRM).

Who is doing this. Operators and platforms such as Ørsted and NextEra illustrate patterns buyers evaluate when modernizing energy workflows with AI.

Andy Koh angle. Same Data + AI + Deploy model used across F&B, sales agents, and multi-tenant platforms — GCP Singapore, PDPA controls, and agentic workflows with auditability.

Source: AI Architecture Digest · Curated by Andy Koh

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