# Pilot Engagement Structure

## The 12-Week Model

Every engagement follows the same three-phase structure: Train, Test, Run.

### Weeks 1-3 — Scoping and Configuration

- Joint selection of the target engineering use case with the customer team
- Ingest text-based standards, scope-of-work documents, and procedural references
- Configure synthetic worker: job role, personality, knowledge base, SOPs
- Lightweight knowledge capture interviews (approximately 60 minutes total across two sessions)
- Instrument correction-capture loop with structured edit tracking
- Establish baseline metrics
- **Deliverable:** Configured synthetic worker ready for Phase 1

### Weeks 4-8 — Phase 1: Single-User Learning Loop

- Designated customer engineer submits structured queries
- Synthetic worker generates protocols from ingested standards and context
- Engineer reviews, corrects, and provides rationale for each change
- System captures corrections and tracks convergence
- Weekly collaboration sessions to review performance and adjust configuration
- **Deliverable:** Convergence data, correction history, stabilized protocols

### Weeks 9-11 — Phase 2: Cross-User Memory Sharing

- Second customer engineer introduced to the same domain
- System leverages corrections from User 1
- Comparative metrics: User 2 first-iteration edit magnitude vs. User 1 first-iteration baseline
- Divergence handling validated (conflicting corrections surfaced, not averaged)
- **Deliverable:** Cross-user transfer validation, comparative performance data

### Week 12 — Analysis and Recommendations

- Full performance analysis across both phases
- Documentation: architecture decisions, training methodology, convergence data
- Go-forward recommendations for expansion
- **Deliverable:** Final report and expansion proposal

## Success Metrics

| Metric | Method | Target |
|--------|--------|--------|
| Edit magnitude per iteration | Computed from structured correction objects | Decreasing trend |
| Time to stabilized protocol | Iteration at which edits drop below threshold | Tracked weekly |
| Iterations to convergence | Count of correction cycles before stabilization | Fewer over time |
| Cross-user transfer efficiency | User 2 first iteration vs. User 1 first iteration | User 2 starts closer |
| User confidence score | Engineer-rated confidence at review time | Increasing trend |
| Knowledge graph integrity | No degradation when corrections diverge | Validated in Phase 2 |

## Forward-Deployed Team

Mission Control embeds an engineering team with the customer for the duration of every engagement. This is not remote support — it is on-the-ground partnership. The team handles platform configuration, troubleshooting, and iteration in real time.

## Expansion Roadmap

The pilot validates the foundation. Post-pilot expansion follows a predictable path:

- **Near-term:** Additional engineering disciplines within the same organization. Each discipline builds its own correction history and knowledge graph. Cross-domain links emerge where disciplines intersect.
- **Medium-term:** Production deployment. Synthetic workers operating as persistent team members. SOPs refined through months of corrections become institutional assets.
- **Longer-term:** Synthetic engineering workforce at scale. Multiple workers, multiple domains, continuous learning. Engineering capability compounds independent of headcount. The institution's knowledge is no longer bounded by who happens to work there today — it is reanimated as persistent operational capability that survives any individual's departure.

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*For the interactive visual walkthrough: https://usemissioncontrol.com/platform/#operation-deployment-timeline*