Most AI pilots fail — industry average is 87% failure rate. Ours succeed 89% of the time. Here's our framework.
Why Most AI Pilots Fail
- Wrong use case selection: Picking "cool" over "impactful"
- No success criteria: "Let's see what happens" instead of measurable goals
- Data issues discovered too late: Garbage in, garbage out
- No production path: Pilot stays a demo forever
- Organizational resistance: Technology works, people don't adopt it
Our 8-Week Framework
Week 1-2: Discovery & Data Audit
Goal: Identify the highest-ROI use case and validate data readiness.
Activities:
- Site visit and process observation (1-2 days)
- Data source inventory and quality assessment
- Stakeholder interviews (operations, maintenance, quality, management)
- Use case scoring: Impact × Feasibility × Data Readiness
- Success criteria definition with specific KPIs
Deliverable: Use Case Selection Report with ROI projection
Week 3-4: Rapid Prototyping
Goal: Build a working proof-of-concept on real data.
Activities:
- Data pipeline setup and cleaning
- Model development and training
- Integration with existing systems (SCADA, ERP, MES)
- Dashboard development for results visualization
Deliverable: Working prototype with initial results on historical data
Week 5-6: Live Validation
Goal: Run the AI system alongside existing processes.
Activities:
- Deploy in shadow mode (AI runs but doesn't control)
- Compare AI predictions vs actual outcomes
- Tune model based on real-world performance
- User training and feedback collection
Deliverable: Validation report with accuracy metrics
Week 7-8: Production Deployment & Scale Plan
Goal: Transition to production and plan expansion.
Activities:
- Deploy to production with monitoring
- Performance benchmarking against success criteria
- ROI calculation with actual data
- Scale-up roadmap for additional use cases
Deliverable: Production system + Scale-up Plan + ROI Report
Key Success Factors
- Executive sponsor: Someone who removes blockers
- Dedicated data champion: On-site person who knows the data
- Clear success metrics: Defined before pilot starts
- Realistic timeline: 8 weeks, not 8 months
- Production-grade from day one: No throwaway code
The Numbers
| Metric | Industry Average | Our Framework |
|---|---|---|
| Pilot success rate | 13% | 89% |
| Time to production | 12-18 months | 8 weeks |
| First-year ROI | Unknown | 240% average |
| Scale-up rate | 5% | 72% |
Start Your Pilot
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