Automate data engineering
Sequence SCADA, PI historian, AMI, MDMS, CIS billing, DERMS, ADMS, GIS, work orders, dashboards, alerts, and downstream handoffs with visible dependency graphs.
Run the workflows behind energy operations, reconciliation, and AI
Run the energy operations workflow behind telemetry normalization, metering reconciliation, field operations, and AI context.
Mage
I created the energy workflow and prepared it for review.
- normalize SCADA, PI historian, DERMS, inverter, and OEM telemetry
- validate AMI reads, MDMS exports, CIS billing logic, KPI thresholds, and freshness
- publish reports, anomaly flags, alerts, crew dashboards, and field maps
- register operational context with lineage, ownership, and access scope
You can inspect the source feeds, asset mappings, validation checks, billing evidence, delivery status, and context artifacts before operators or agents use the output.
Mage helps energy and power teams govern telemetry normalization, metering reconciliation, billing, field operations, and operational-context workflows.
Overview
Modernize energy data workflows from operations to AI
Mage helps energy and power teams turn telemetry normalization, metering reconciliation, billing logic, field operations, and AI context into governed workflows instead of scattered scripts and vendor-specific jobs.
Modernize legacy data models
Move asset mapping, billing reconciliation, KPI logic, field reporting, and vendor parsing out of scripts, spreadsheets, point tools, and undocumented schedulers.
Prepare AI-ready context
Package asset, meter, billing, GIS, work-order, field, service, territory, and KPI context with lineage, definitions, freshness, auditability, and role boundaries.
Use cases for energy and power
Each use case starts with work energy teams already run: telemetry that needs normalization, billing data that needs reconciliation, and field teams that need fresh, scoped context.
Energy asset telemetry normalization
Normalize battery, solar, wind, SCADA, PI historian, DERMS, inverter telemetry, Kafka, Influx, and OEM API feeds with asset mapping, KPI checks, freshness, alerts, dashboards, and agent context.
Battery, solar, wind, IoT, Kafka, InfluxDB, vendor APIs, and site systems feed Mage schema normalization, KPI workflows, CDC/streaming batches, and asset reports.
Energy data workflows break where tools stop
The workflows break where energy teams already feel the pain: telemetry changes shape, meter and billing data is hard to reconcile, field teams need fresh context, and outputs need to trigger action.
Normalize asset telemetry, meter reads, and field updates before operational handoff.
Telemetry
Operational data changes shape. SCADA, PI historian, DERMS, OEM APIs, AMI reads, MDMS exports, and CIS bills arrive with schema drift, stale values, revised records, and site dependencies.
Why did the meter workflow stall?
The vendor SOAP feed retried late, so Mage held billing logic and kept the exception visible.
vendor feed delayed 18 min
Operations run from fragile jobs. Billing, reconciliation, KPI, service, GIS, and field workflows depend on spreadsheets, vendor exports, scripts, and tools nobody wants owning in production.
Field contextAccess scope missing
Inspect context
Freshness checkedRole scope neededLineage attached
AI context is scattered. AI and self-service workflows need fresh asset, meter, field, and KPI context, but definitions, lineage, ownership, and access scope are scattered.
Workflow
Meter checks
Dashboard
Alert
ActionMeter anomaly routed to dashboard, service alert, and explanation-agent context.
Outputs must trigger action. Dashboards, alerts, finance handoffs, field tools, APIs, and agents need governed delivery, not another warehouse-only handoff.
One energy workflow becomes governed execution
Mage turns fragile energy data work into visible dependencies, checks, handoffs, and reusable operational context.
Run our daily energy operations workflow. Normalize asset telemetry, validate meter and billing logic, reconcile vendor outputs, publish field metrics, and prepare context for operators and agents.
The energy workflow is ready to review. I connected asset and meter dependencies, added validation and reconciliation checks, prepared operational outputs, and registered reusable context.
Energy operations workflow
SCADA + AMIChecks enabledfield outputs ready
Ask. Start with the telemetry feed, meter reconciliation, billing run, field dashboard, or agent-context workflow that keeps breaking.
Sequence. Mage sequences asset telemetry, vendor files, meter reads, APIs, field systems, and business rules.
Validate. Checks catch schema drift, stale telemetry, revised meter reads, failed vendor calls, and mismatched billing outputs.
Reconcile. Mage compares source reads, operational KPIs, billing rules, and delivery outputs before the new workflow becomes trusted.
Deliver. Operational outputs reach dashboards, finance handoffs, service alerts, field tools, APIs, and agents.
Context. Lineage, asset definitions, freshness, ownership, and access scope become context teams and agents can reuse.
What Mage governs across energy workflows
Asset telemetry normalization Normalize battery, solar, wind, SCADA, PI historian, DERMS, inverter, Kafka, Influx, and OEM API feeds into governed asset and site context.
Metering reconciliation checks Compare AMI reads, MDMS exports, CIS bills, tariff rules, source revisions, row counts, and vendor-specific parser decisions.
Operations modernization Move KPI logic, billing prep, field maps, work-order dashboards, and vendor-data operations out of local scripts and point tools.
Action surfaces Deliver governed outputs to dashboards, finance handoffs, service alerts, SFTPs, APIs, field tools, and observability.
Operational context registration Register asset definitions, site mappings, lineage, freshness, ownership, access scope, run history, and exceptions.
Role-scoped AI context Expose scoped telemetry, billing, GIS, work-order, field, service, and KPI context to operators, analysts, sales teams, crews, and agents.
Start a trial
Talk with Mage about production data workflows, AI-ready context, managed deployments, and security requirements for your team.