Pilot → Production Playbook

Enterprises often succeed with AI pilots but struggle to scale them into production. AI Fabrix provides a structured playbook to move from small experiments to enterprise-grade adoption — without losing compliance, cost control, or governance.

Table of Contents

1. Phase 1: Pilot Setup
2. Phase 2: Validation
3. Phase 3: Expansion
4. Phase 4: Enterprise Production
5. Key Success Factors
6. Next Steps

Phase 1: Pilot Setup

• Deploy Fabrix in a controlled environment (single department or use case).
• Focus on one high-value but contained scenario (e.g., internal knowledge assistant).
• Enable Miso control layer from day one to ensure governance and audit coverage.

Phase 2: Validation

• Define and track KPIs from the ROI & KPI Library (time-to-production, adoption, compliance coverage).
• Validate that connectors (e.g., SharePoint, Teams, CRM) operate with metadata-aware retrieval.
• Confirm cost alignment with projected budgets to prevent scaling surprises.

Phase 3: Expansion

• Extend Fabrix to additional departments or workflows.
• Reuse governance and policy packs to ensure consistent compliance.
• Add more connectors and metadata enrichment as new systems are brought in.
• Train adoption champions within business units to accelerate uptake.

Phase 4: Enterprise Production

• Transition to multi-region scaling using Azure Front Door and autoscaling infrastructure.
• Promote environments Dev → Test → Prod under Miso policy-as-code.
• Enable observability and cost telemetry to ensure long-term sustainability.
• Support large-scale user adoption through integration with Teams or Slack as chat interfaces.

Key Success Factors

• Governance-first: Start with compliance and policy packs during pilots — don’t retrofit later.
• Measurable outcomes: Track KPIs consistently at every stage.
• Scalable foundation: Use the same in-tenant deployment model from pilot to production.
• Predictable economics: Keep spend tied to subscription tier + Azure billing.

Next Steps

[[PLACEHOLDER: Add detailed checklists and customer success blueprints as reference material.]]

This playbook ensures AI adoption with Fabrix is not just experimental, but operationally sustainable across the enterprise.