AI Quality Intelligence Digital Worker

Core Logic

Executes parallel queries across quality management database (34.7K defect records), inspection records system (12.8K entries), and subcontractor performance DB (156 contractors). Validates data completeness, identifies gaps, and normalizes records for downstream agent processing. Retrieves real-time data with query optimization for sub-second response times.

Core Logic

Connects to IoT sensor network monitoring temperature (threshold 10°C for tile work), humidity (75% limit), vibration, dust particulates, and noise levels. Detects anomalies in real-time (e.g., bathroom zone at 8°C), generates threshold alerts with severity classification, analyzes sensor trends for pattern detection, and triggers automated work pauses when conditions risk quality defects.

Core Logic

Maintains synchronization between physical site and BIM model through incremental sync (1,247 elements/sync). Queries BIM elements by type/status (156 wall elements: 98 completed, 42 in-progress, 4 defective). Detects spatial clashes between disciplines—identified 7 MEP-structural conflicts including critical CLH-001 (45mm PIPE-BEAM overlap)—enabling resolution before physical installation.

Core Logic

Applies K-Means clustering to defect data across severity, location, subcontractor, date, temperature, and humidity features. Identifies actionable patterns with confidence scores: (1) Tile defects correlate with winter months (87% confidence), (2) Subcontractor performance declines at 4+ concurrent projects (92% confidence), (3) Pre-commissioning inspections reduce HVAC defects 67% (94% confidence).

Core Logic

Runs Gradient Boosting + Bayesian Network models on historical data (125,000 training points). Predicts 34% defect probability for tile installations in next 7 days given current conditions. Executes Monte Carlo simulation (10,000 iterations) for project outcome scenarios. Forecasts resource needs (inspectors: peak 28 in week 2-3) with 91% historical accuracy.

Core Logic

Audits compliance against ISO 9001 quality management (87% score), checking Documentation (92%), Quality Control (85%), Safety Procedures (94%), and Environmental (78%) categories. Identifies non-conformities: NC-001 dust suppression records incomplete (major), NC-002 calibration certificates expired (minor). Flags next audit date (April 15) and generates remediation recommendations.

Core Logic

Implements Bayesian inference for multi-factor risk calculation. Computes weighted risk score (62/100 = Medium) from: Subcontractor Performance (78, weight 0.30), IoT Alerts (72, weight 0.25), BIM Clashes (65, weight 0.20), Weather (55, weight 0.15), Compliance (52, weight 0.10). Generates prioritized mitigation actions with estimated impact.

Core Logic

Evaluates decision options using configured rules and ML recommendations. Auto-executes high-confidence decisions: paused tile work when temperature dropped below 10°C threshold (prevented €12,000 in defective installations). Escalates lower-confidence decisions to human approval with context and recommendations. Maintains rollback capability and full audit trail for compliance.

Core Logic

Synthesizes findings from all agents into executive-ready recommendations. Prioritizes by urgency and impact: (1) Immediate: Tile work paused by auto-action, (2) Immediate: Limit ABC Tiling to 2 projects (reduce defect rate 3.2%→1.5%), (3) Urgent: Resolve 7 BIM clashes before MEP installation. Calculates financial impact (€103,700 total savings) and generates stakeholder-specific reports.