Analytics

AI-Assisted Analytics & Anomaly Detection

AI-assisted features are applied where they create operational value: highlighting unusual patterns, prioritising anomalies and supporting investigation. They complement engineering rules rather than replacing them.

AI-Assisted Analytics & Anomaly Detection

What is included.

Final scope is confirmed after reviewing the existing site, technologies, stakeholder requirements and delivery constraints.

Consumption anomaly detection
Meter-health and communication exception analysis
Trend classification
Prioritised investigation lists
AI-assisted report summaries
Model monitoring and rule tuning

Operational value the service is designed to create.

Earlier exception visibility

Measured through agreed operational, data-quality, service and performance indicators.

Reduced manual review

Measured through agreed operational, data-quality, service and performance indicators.

More focused engineering attention

Measured through agreed operational, data-quality, service and performance indicators.

Improved data quality

Measured through agreed operational, data-quality, service and performance indicators.

Five stages from assessment to sustained operation.

1

Assess

Review assets, systems, data, users and business requirements.

2

Design

Define architecture, interfaces, controls, data model and acceptance criteria.

3

Implement

Install, configure, integrate and document the agreed solution.

4

Commission

Test data, alarms, controls, resilience and business workflows.

5

Operate

Train users, monitor performance and provide lifecycle support.

Designed to work with the wider operational ecosystem.

Depending on the project, the service can integrate gateways, meters, sensors, BMS controllers, databases, APIs, reporting tools, notifications and customer-facing applications.

Building systemsBACnet, Modbus and controller integration
MeteringM-Bus, pulse, LoRaWAN and cellular
SoftwareAPIs, MQTT, cloud and on-premise platforms
ReportingDashboards, Power BI and scheduled reports

Discuss a AI-Assisted Analytics & Anomaly Detection project with our team.

Share your current systems, challenges, site type and required outcomes for an initial review.

Request a demo