🎯
Business Objectives
- ›Compliance and audit-readiness
- ›Process improvement from real workflow data
- ›Faster dispute resolution
⚙️
Operational KPIs
- ›Events / day
- ›Avg time between status changes
📈
Management KPIs
- ›Audit coverage %
- ›Compliance exception rate
🤝
Customer KPIs
- ›Time-to-respond to disputes
🗄️
Available Data
- ›Timestamp, user, entity, before / after
✨
AI Use Cases
- ›Process mining
- ›Audit summarization
- ›Compliance anomaly detection
🔮
Predictive Analytics
- ›Likely SOX/SOC audit findings
- ›Workflow bottleneck forecast
🚨
Anomaly Detection
- ›Out-of-policy edits
- ›Burst of corrections
🎁
Recommendation Engines
- ›Workflow redesign suggestions
🤖
AI Copilot Features
- ›'Summarize all changes on WO 22336'
💬
Natural-Language Reporting
- ›'Who changed status on this WO and why?'
📊
Executive Dashboard Metrics
- ›Audit coverage, exception trend
⚡
Workflow Automation
- ›Auto-generate audit packets
🛰️
Autonomous Agents
- ›Compliance Agent prepares quarterly evidence
🖥️
Recommended Dashboards
- ›Audit & Compliance
- ›Process Mining
💡
Example Executive Insights
- ›Top 3 bottlenecks: Hold approval (avg 7.2h), POD upload (5.1h), Quote approval (4.8h)
📦
Required Datasets
- ›activity_log
📅
Historical Data Needed
24 months
🧠
ML Models / AI Approaches
- ›Process mining (Celonis-style)
- ›Sequence models