Drift Detection
Real-Time Drift Detection
Catch scope creep, spend overruns, ownership gaps, and infrastructure drift, before quarterly reviews surface problems too late.
Drift Types
Four Dimensions of Drift
Every form of drift that silently erodes initiative value, detected automatically.
Scope Drift
Detects unauthorized requirement additions, feature creep, and deliverable expansion that silently inflate project scope and cost.
- โRequirement count vs. baseline
- โUser story injection rate
- โDeliverable expansion tracking
- โChange request frequency
Spend Drift
Monitors budget vs. actual spend in real time. Catches overruns, acceleration in burn rate, and unexpected cost spikes before they compound.
- โBudget vs. actual variance
- โBurn rate acceleration
- โCost spike detection
- โForecast deviation alerts
Ownership Drift
Identifies when responsibility gaps emerge: orphaned work streams, absent sponsors, or accountability dissolving across reorganizations.
- โSponsor engagement frequency
- โDecision velocity tracking
- โRACI gap detection
- โOrphaned workstream alerts
Infrastructure Drift
Tracks deviations between planned and actual infrastructure usage: cloud resources, license consumption, and environment configuration.
- โProvisioned vs. consumed resources
- โLicense utilization variance
- โEnvironment configuration delta
- โCloud cost anomaly detection
Live Alerts
Real-Time Alert Stream
Every drift event generates an actionable alert with context, severity, and recommended next steps.
Cloud Migration v2: 14 new requirements added without approval. Scope expanded 23% beyond baseline.
Data Platform Modernization: Burn rate accelerated 2.4x vs. plan. Projected $1.2M overrun at current velocity.
ERP Consolidation: Executive sponsor unresponsive for 21 days. 3 decision gates blocked.
API Gateway Rebuild: 47 idle compute instances detected. $34K/mo waste opportunity.
Comparison
Quarterly Reviews vs. Real-Time Detection
Stop governing the past. Start governing in real time.
Quarterly Reviews
- โProblems discovered 60-90 days late
- โManual data gathering across 8+ systems
- โRetrospective analysis, no prevention
- โExecutive surprises at board meetings
- โNo pattern detection across portfolio
Real-Time Detection
- โDrift caught within minutes of occurrence
- โAutomated data ingestion from all sources
- โProactive alerts with remediation steps
- โNo surprises, continuous visibility
- โCross-portfolio pattern recognition
Stop the Drift
Catch Drift in Minutes, Not Months
Real-time drift detection across scope, spend, ownership, and infrastructure. See it in action.