← Back to Accelerating the Path to Net Zero with Energy Insights

Source proof for Accelerating the Path to Net Zero with Energy Insights

Source-bound proof

Verified source excerpts for every supported field

Each colour maps a published value to the exact source passage used to support it. Only bounded excerpts are public; administrators can inspect the complete captured source.

10 fields supported

Title

Accelerating the Path to Net Zero with Energy Insights

derived · high
…ogin Contact Us Try Databricks Customer Stories / SSE Airtricity CUSTOMER STORY Accelerating the path to net zero with energy insights 90% Of customers engage with personalized insights on the site +12% Jump in uni…

Company

SSE Airtricity

classification · high
…rity and Trust Ready to get started? Get a Demo Login Contact Us Try Databricks Customer Stories / SSE Airtricity CUSTOMER STORY Accelerating the path to net zero with energy insights 90% Of cu…

Description

SSE Airtricity, an energy supplier serving around 750,000 customers in Ireland, built the in-house Enhanced Smart Insights (ESI) Energy Advisor on the Databricks Data + AI Platform, delivering personalized energy-saving advice to over 65,000 smart meter customers, such as guiding EV owners toward off-peak charging. The advisor is built on Anthropic's Claude Sonnet 4.5, accessed via Databricks AI Model Serving, with Lakeflow Spark Declarative Pipelines processing billions of rows of smart meter data nightly and Unity Catalog governing data and AI models. The team used MLflow's GenAI evaluation framework to implement automated AI "judges" that reject and regenerate failing insights before they reach customers. SSE Airtricity went from concept to production in about four months; within the first month it saw a 12% increase in unique visitors to the insights section, and 90% of logged-in customers now engage with the personalized insights.

derived · high
…Spark workflows to process billions of rows every night. The ESI Energy Advisor is built on Anthropic's Claude Sonnet 4.5, accessed through Databricks AI Model Serving , allowi…

Problem

With smart electricity meters becoming widespread, SSE Airtricity wanted to offer improved energy insights with a solution they could continue to innovate on. Basic usage visualizations and generic tips like "switch to LED bulbs" fell short of customer expectations, and black-box third-party solutions offered limited ability to understand customer engagement with specific features.

derived · high
…with smart meters deployed across a large portion of its customer base. Still, basic usage visualizations and generic tips like "switch to LED bulbs" fell short of expectations. ‘We were originally looking at black box solutions from third parties, but fel…

Implementation approach

The business acceptance breakthrough came from taking an evaluation-first approach: implementing AI judges using MLflow's GenAI evaluation framework alongside human feedback collection from the early stages, and using custom quality metrics to establish alignment before writing production code. SSE Airtricity went from proof of concept to production in about four months.

derived · high
…business acceptance breakthrough came from taking an evaluation-first approach: implementing AI "judges" using MLflow's GenAI evaluation framework alongside human feedback collection from the…

Industry

Energy

classification · high
…ficiently and support a more sustainable energy future. Share this post Details Industry : Energy Use Case : Artificial Intelligence , Data Applications , Data Warehousing , Gov…

Technology

Claude Sonnet 4.5, Databricks AI Model Serving, MLflow, Lakeflow Spark Declarative Pipelines, Unity Catalog, Delta Lake

classification · high
…ng , allowing the team to deploy generative AI without managing infrastructure. MLflow became central to providing complete observability and traceability, ensuring optimal quality improvement. The business acceptance breakthrough cam…

AI capabilities

Generative AI

classification · high
…hropic's Claude Sonnet 4.5, accessed through Databricks AI Model Serving , allowing the team to deploy generative AI without managing infrastructure. MLflow became central to providing complete observability and traceability, en…

Deployment options

cloud

classification · high
…ce and Security , Integrations , Orchestration , Data Sharing and Collaboration Cloud : Azure Product : Agent Bricks , Databricks Apps , Delta Lake , Spark Declarative Pipel…

Country

Ireland

classification · high
…12% Jump in unique visitors in the first month 4 mo. From concept to production SSE Airtricity serves hundreds of thousands of customers in Ireland with their electricity and gas energy needs. With smart electricity meters beco…
Capture details
Captured
03 Sept 2026, 19:31 UTC
Extractor
fetch-strip@1
Snapshot hash
ad2d127c0fbdd11437df89d2991299a030a88df155dc478ff3ce20e3836ede2d