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Decisions that stand up across your estate.

Aeterno turns BMS and operational data into evidence‑backed actions for every stakeholder—ready to approve or automate.

PPM uplift
+30 pp
vs baseline (site‑weighted)
Cycle time
−40%
anomaly → approved action
Remote fixes
+25%
targeted categories
False approvals (High)
≤5%
under governed Assist
Missed High/Med
≤10%
quality gates
T&M conversion
+10–30%
on qualified items

UBMA Operational Cycle

Unified Building Model Asset — detect → triage → execute → verify → learn. Evidence-first decisions for every stakeholder across your estate.

1Commission & Baseline
📋Evidence

UBMA Mint (Asset Onboarding)

Mint UBMA

Site onboarding and initial UBMA creation. Asset registry established, BMS endpoints mapped, baseline data collection scoped. The UBMA becomes the governed source of truth for the building.

UBMA v1Asset registrySite metadata
Per building/site onboarded

BMS & IoT Integration

Telemetry connection to BMS, meters, IoT sensors. Data quality checks, normalisation rules applied. Gateway health monitoring established.

Data pipeline configQuality dashboardNormalisation rules
📋Evidence

Performance Baseline Establishment

Normal operating envelope calculated from initial telemetry. Seasonality patterns identified, expected ranges set. Baseline used for anomaly detection and performance verification.

Operating envelopeSeasonality modelThreshold config
Per commissioned site
2Monitor & Detect

Real-time Telemetry & Monitoring

Continuous ingestion of BMS, meter, and IoT data. Real-time dashboard with site health status, current vs expected performance, and live alerts.

Live dashboardHealth metricsAlert stream

Anomaly Detection & Classification

ML-powered pattern recognition identifies deviations from baseline. Threshold breaches, drift patterns, and equipment behaviour anomalies detected. Confidence scoring applied.

Anomaly alertsConfidence scoresPattern classification

Alert Ranking & Severity

Detected anomalies ranked by severity, business impact, and urgency. High/Medium/Low classification with estimated energy, comfort, and compliance impact.

Ranked alert queueSeverity classificationImpact estimates
3Triage & Prioritise
📋Evidence

Evidence Assembly & Context

Automated evidence pack assembly: historical comparison, root cause analysis, similar past cases, and relevant documentation. Context added for analyst review.

Evidence packHistorical contextRoot cause hypothesis
📋Evidence

Risk & Policy Assessment

Policy checking against operational and regulatory requirements. Change control boundaries verified. Risk classification (safety, compliance, business continuity) applied.

Policy check resultsRisk classificationChange control flags

Priority Queue with Evidence

Ranked action list ready for approval workflow. Each item carries complete evidence pack, recommended action, estimated impact, and approval requirements.

Prioritised queueApproval requirementsAction recommendations

Commercial Assessment & Opportunity ID

T&M opportunity identification from detected issues. Impact quantification (energy savings, downtime avoidance, comfort improvement) for customer-facing proposals.

T&M opportunity listImpact quantificationROI estimates
4Approve & Execute
📋Evidence

Work Order Approval & Governance

Governed approval workflow with change control verification. Approvals logged with rationale. Change windows and rollback plans confirmed before execution.

Approved work ordersChange control logRollback plans
Per approved action
📋Evidence

T&M Quote Generation

Ready-to-quote packages generated with evidence, ROI narrative, and customer-facing documentation. Qualified T&M opportunities packaged for high conversion.

Customer quotesROI narrativeEvidence pack for customer
Per qualified opportunity

Field Dispatch with Evidence Bundle

Site visit scheduled with complete evidence bundle: issue context, recommended actions, parts list, safety considerations. Engineer protected by clear audit trail.

Field work orderEvidence bundleSafety checklist

Remote Execution (Policy-Bounded)

BMS parameter changes and automated actions executed within approved policy boundaries. All actions logged with before/after state and rollback capability.

Execution logBefore/after snapshotsRollback tokens
5Verify & Learn

Outcome Verification & Measurement

Post-action monitoring to verify effectiveness. Actual vs predicted outcomes measured. Success/failure flagged for continuous learning and model refinement.

Outcome metricsActual vs predictedSuccess flags
📋Evidence

Evidence Archive & Compliance Reporting

Immutable audit trail archived. Compliance reports generated for statutory and operational requirements. Evidence packs exported to CMMS and client systems.

Audit trailCompliance reportsCMMS exports
Per closed action

Portfolio Learning & Policy Refinement

Cross-site insights aggregated. Detection models refined based on outcomes. Policy thresholds adjusted. Assist → Auto gates evaluated for expansion. Feedback loop to monitoring.

Portfolio insightsModel updatesPolicy refinements

Tip: click any card above to see details here.

Continuous learning: The purple feedback loop from "Portfolio Learning" back to "Real-time Telemetry" shows how outcomes refine detection models, policy thresholds, and Assist → Auto gates — creating a closed-loop operational system.

One kernel → many viewpoints. Evidence-first. Audit-ready artefacts. Assist → Auto when earned.

Who this serves in an EMC

Head of EMC

Hit cost, risk, carbon targets

Portfolio outcomes with audit trails

Ops analysts

Triage and prioritise

Ranked findings with evidence; cycle‑time reduction

Field engineers

Fix the right issues fast

Clear instructions; fewer callbacks; protection via evidence

Commercial

Convert qualified T&M

Ready‑to‑quote items with quantified impact

Compliance/Risk

Prove control

Policy‑bound outputs; immutable decision trails

End customers

Trust decisions

Consistent, defensible recommendations

Immediate priorities we address

  • Raise effective PPM to ≥ 80% in initial cohorts via evidence‑first checks and approvals.
  • Shorten anomaly → approved action by 30–50% with governed Assist.
  • Uplift remote fixes and reduce rework with clearer prioritisation.
  • Make compliance “always ready” with artefacts bound to policy.
  • Lift qualified T&M conversion using ready‑to‑quote packages.

How we land value without heavy change

  • Scope: Representative sites; Timeline: Agreed during scoping; Mode: Assist‑only.
  • Success criteria: Select 3–5 from cycle‑time, PPM, precision/recall, conversion, artefact completeness.
  • Governance: Approvals & rollback, seasonality‑aware change windows, evidence log export.
  • Security: SSO/RBAC, residency and audit aligned to client posture.

Assist → Auto Governance

Start in Assist mode (human in the loop). Promote to Auto only when jointly agreed precision/recall and risk gates are met—within approved change windows.

  • No uncontrolled automation—approvals required
  • Full audit trails and rollback capability
  • Policy-bounded actions within change windows